College of Agriculture,Food and Environment Sciences, Department of Environmental and Symbiotic Science
小川健太 オガワ ケンタ
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Website：Last Update :2025/04/13Researcher Profile and Settings
Name
OGAWA Kenta
Affiliation (Master)
College of Agriculture,Food and Environment Sciences, Department of Environmental and Symbiotic Science
Association Memberships
公益社団法人 日本測量協会 JAPAN SOCIETY OF PHOTOGRAMMETRY AND REMOTE SENSING THE REMOTE SENSING SOCIETY OF JAPAN 日本草地学会 日本写真測量学会北海道支部 特定非営利活動法人 Digital北海道研究会
Research Activities
Research Areas
Environmental science/Agricultural science, Agricultural environmental and information engineering
Research Interests
UAV, Remote Sensing, リモートセンシングによる地球観測, deep learning,
Published Papers
Seasonal Dynamics of the Land-Surface Characteristics in Arid Regions Retrieved by Optical and Microwave Satellite Data, Ying Tian; Kurt Ackermann; Christopher McCarthy; Troy Sternberg; Myagmartseren Purevtseren; Che Limuge; Katsuro Hagiwara; Kenta Ogawa; Satoru Hobara; Buho Hoshino, Remote Sensing, MDPI AG, 16, (17) 3143 - 3143, 2024 08 26 Automated Counting of Waterfowl on Water Surface Using UAV Imagery, Kenta OGAWA; Katsumi USHIYAMA; Fumiya KONERI, The Remote Sensing Society of Japan, 42 巻, (Supplement 号) S1 - S8, 2022 03 Automated Counting Wild Birds on UAV Image Using Deep Learning, Kenta Ogawa; Yuting Lin; Hiroshi Takeda; Kanji Hashimoto; Yukiko Konno; Kaori Mori, Proceedings of International Geoscience and Remote Sensing Symposium, No. 1995, 2021, 2021 07 UAV空撮画像を用いたIδ指数による放牧草地の養分分布における不均一性の評価, 三枝俊哉; 奥井達也; 塚崎顕太郎; 八木隆徳; 小玉哲大; 小川健太, 酪農学園大学紀要別刷, 2021 03 UAV空撮画像を用いたトウモロコシ圃場における植被率系時変化の推定, 小川健太; 義平大樹; 三枝俊哉; 金子正美; 鎌形哲稔, 酪農学園大学紀要別刷, 第45, (1) , 2021 03 Automated Counting of Waterfowl on Water Surface Using UAV Imagery, 小川健太、牛山克巳、小練文弥, Journal of The Remote Sensing Society of Japan, Vol.39, (No.5) 363 - 370, 2019 11 Comparison of vulnerability to catastrophic wind between Abies plantation forests and natural mixed forests in northern Japan, Junko Morimoto; Kosuke Nakagawa; Kohei T. Takano; Masahiro Aiba; Michio Oguro; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Rui Ito; Tetsuya Takemi; Futoshi Nakamura; Chris J. Peterson, Forestry an International Journal of Forest Research, 1 - 8, 2019 02 UAV画像による水鳥の自動検出の試み（SEMI-AUTOMATED COUNTING OF ROOSTING WATERFOWL USING UAV IMAGERY）, 小川健太; 松田亜希子; 鈴木透; 丸山樹; 三品未和; 藤若燈, 一社)日本リモートセンシング学会第63回（平成29年度秋季）学術講演会論文集, 7 - 8, 2017 11 INITIAL TRIALS TO SEMI-AUTOMATED COUNTING WILD BIRDS ON WATER SURFACE USING UAV, Kenta OGAWA; Yutaka KAIZU; Hiroyuki YAMADA; Toru SUZUKI; Tetsuo SHIMADA; Katsumi USHIYAMA; Kazuo KOYAMA, The International Symposium on Remote Sensing (ISRS) 2017, 903 - 906, 2017 05 Observation planning algorithm of a Japanese space-borne sensor: Hyperspectral Imager SUIte (HISUI) onboard International Space Station (ISS) as platform, Kenta Ogawa; Yukiko Konno; Satoru Yamamoto; Tsuneo Matsunaga; Tetsushi Tachikawa; Mako Komoda, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XXI, SPIE-INT SOC OPTICAL ENGINEERING, 10423, 2017 Habitat use of Sika deer in swamp forests in Kushiro marsh, Hino Takafumi; Yoshida Ryouto; Igarashi Mamaru; Satou Atuski; Murai Takunari; Tachiki Yasuyuki; Akamatsu Rika; Hashimoto Kanji; Ogawa Kenta; Kaneko Masami; Yoshida Tsuyoshi, The Japanese Forest Society Congress, THE JAPANESE FORESTRY SOCIETY, 127, 748 - 748, 2016 03 管理来歴が育成牛放牧草地における養分分布の不均一性におよぼす影響, 三枝俊哉; 塚崎顕太郎; 加藤祐太; 熊谷宇; 小川健太; 八木隆徳, 日本草地学会石川大会, 2016 03 北海道における森林の風倒評価:2004年台風18号による影響, 中川考介; 森本淳子; 古川泰人; 髙野(竹中; 宏平; 饗庭正寛; 小黒芳生; 三島啓雄; 小川健太; 伊東瑠衣; 竹見哲也, 台風研究会「複合系台風災害のメカニズムに関する研究集会」, 24 - 28, 2016 03 北海道における森林の風倒予測：2004 年18 号台風の21 世紀末擬似温暖化実験, 髙野(竹中)宏平; 饗庭正寛; 小黒芳生; 中川孝介; 森本淳子; 古川泰人; 三島啓雄; 小川健太; 伊東瑠衣; 竹見哲也, 台風研究会「複合系台風災害のメカニズムに関する研究集会」, 29 - 32, 2016 03 Effects of twin row cultivation on yield in Maize for grain and the factor of grain yield increase on the basis of growth analysis, Song Liang; Yoshihira Taiki; Satou Chihiro; Ogawa Kenta, Abstracts of Meeting of the CSSJ, CROP SCIENCE SOCIETY OF JAPAN, 241, 50 - 50, 2016 千鳥播、狭畦、狭畦千鳥栽培が子実用トウモロコシの収量に及ぼす影響, 宋粮; 義平大樹; 一関悠太; 佐藤智宏; 小川健太; 渡邊悠, 草地学会, 62, (別) , 2016 千鳥播、狭畦栽培が子実用トウモロコシの収量に及ぼす影響―長沼町における機械播種による実規模試験―, 義平大樹; 宋粮; 土屋恭平; 佐藤智宏; 小川健太; 柳原孝二; 照井英樹, 草地学会, 62, (別) , 2016 Projection of impacts of climate change on windthrows and evaluation of potential adaptation measures in forest management: A case study from empirical modelling of windthrows in Hokkaido, Japan, by Typhoon Songda (2004), Kohei T. Takano; Kosuke Nakagawa; Masahiro Aiba; Michio Oguro; Junko Morimoto; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Rui Ito; Tetsuya Takemi, Hydrological Research Letters, 10, (4) 132 - 138, 2016 CASE STUDIES FOR OBSERVATION PLANNING ALGORITHM OF A JAPANESE SPACEBORNE SENSOR: HYPERSPECTRAL IMAGER SUITE (HISUI), Kenta Ogawa; Yukiko Konno; Satoru Yamamoto; Tsuneo Matsunaga; Tetsushi Tachikawa; Mako Komoda; Osamu Kashimura; Shuichi Rokugawa, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XX, SPIE-INT SOC OPTICAL ENGINEERING, 10000, 2016 Effects of twin row cultivation on yield on Maize for grain : Effects of planting density on yield increase, Sugawara H; Yoshihira T; Satou C; Yoshimura N; Mori T; Ogawa K, Report of the Hokkaido Branch, the Japanese Society of Breeding and Hokkaido Branch, the Crop Science Society of Japan, The Crop Science Society of Japan, (55) 35 - 36, 2014 12 EFFECTIVE OBSERVATION PLANNING AND ITS SIMULATION OF A JAPANESE SPACEBORNE SENSOR: HYPERSPECTRAL IMAGER SUITE (HISUI), Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 1979 - 1982, 2014 Modeling and inversion in thermal infrared remote sensing over vegetated land surfaces, Frederic Jacob; Thomas Schmugge; Albert Olioso; Andrew French; Dominique Courault; Kenta Ogawa; Francois Petitcolin; Ghani Chehbouni; Ana Pinheiro; Jeffrey Privette, ADVANCES IN LAND REMOTE SENSING: SYSTEM, MODELING, INVERSION AND APPLICATION, SPRINGER, 245 - +, 2008 Mapping Surface Broadband Emissivity of the Sahara Desert Using ASTER and MODIS Data, Kenta Ogawa, EARTH INTERACTIONS, AMER METEOROLOGICAL SOC, 8, 2004 A sensitivity study of climate and energy balance simulations with use of satellite-derived emissivity data over Northern Africa and the Arabian Peninsula, L Zhou; RE Dickinson; Y Tian; M Jin; K Ogawa; H Yu; T Schmugge, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, AMER GEOPHYSICAL UNION, 108, (D24) , 2003 12
Books etc
物理探査ハンドブック 第三版, 公益社団法人物理探査学会, 6.2 光学センサデータ処理, 公益社団法人物理探査学会, 2024 07 , 9784938493196 宮島沼LOVE！, 宮島沼水鳥; 湿地センター編著, 第2章宮島沼と鳥たち、水鳥をドローンで数えよう, 北海道新聞社, 2024 07 , 9784867211366
Conference Activities & Talks
空から地球や地域を見てみよう, 小川健太, 市立札幌啓北商業高等学校（酪農学園大学出張セミナー） How Many Seals in this Area? Count with Drone and Deep Learning, Kenta Ogawa; Yukiko Konno; Fumie Kumagai, ESRI User Conference Map Gallery 北海道襟裳岬におけるドローン空撮画像を用いた ゼニガタアザラシの自動カウント実用化に向けて, 小川健太, 日本写真測量学会 令和６年度年次学術講演会 UAVを用いた宮城県伊豆沼・内沼の水鳥（マガン）の個体数カウント, 米山和希; 小川健太, 第21回GISコミュニティフォーラム 動物モニタリングのおけるドローン利活用の事例紹介, 小川健太, 大動物臨床研究会特別セミナー 襟裳岬に生息するゼニガタアザラシのUAV空撮画像を用いた深層学習による個体数自動カウントと飛行計画の最適化, 岡村 航平; 小川 健太, 日本写真測量学会北海道支部令和5年度 第42回学術講演会 UAVを用いた冬季てん菜貯蔵施設における温度モニタリング精度の向上について, 伊藤 颯馬; 小川 健太, 日本写真測量学会北海道支部令和5年度 第42回学術講演会 UAV空撮による水鳥カウント精度向上のためのカメラの設定と比較に関する研究, 飯嶌 陽斗; 小川 健太; 野沢 麦; 米山 和希, 日本写真測量学会北海道支部令和5年度 第42回学術講演会 ドローンや衛星画像〜空からの情報をどのように活かすか, 小川健太, 札幌大通倫理法人会モーニングセミナー ドローンや衛星画像を使って、空から地球を理解しよう, 小川健太, 市立札幌開成中等教育学校、先端科学特論 ドローンや衛星画像を使って、空から見る江別、北海道、世界, 小川健太, 酪農学園大学市民公開講座 Deep Learningを用いたドローン空撮画像上の物体検出・カウント, 小川健太, GIS Day in 北海道2023 ドローン空撮画像を用いた野生生物の検出・カウントについて, 小川健太, 動物の行動と管理学会2023年度大会公開シンポジウム Seals123: Automated Counts of Seals on UAV Image Using Deep Leaning, Kenta Ogawa; Yukiko Konno; Rakuno; Gakuen University; Shingo Yamashita; Fumie Kumagai, ESRI User Conference Goose123: Automated Counts of Goose on UAV Image Using Deep Leaning, Kenta Ogawa; Yukiko Konno, ESRI User Conference UAVの農業・環境分野での利用について, 小川健太, DPA認定校フォーラム2023 北海道襟裳岬におけるドローン空撮画像を用いた ゼニガタアザラシの自動カウントに関する初期的結果について, 小川健太; 紺野裕紀子; 堀江晶大; 上出真輝; 岡村航平; 林 雨亭; 山下慎吾; 熊谷文絵, 日本写真測量学会令和5年度年次学術講演会 襟裳岬における UAV 空撮画像を用いたゼニガタアザラシの自動カウント, 堀江晶大; 上出真輝; 紺野裕紀子; 小川健太, 日本写真測量学会北海道支部第41回学術講演会 ドローンの画像解析とディープラーニングの組み合わせの応用の紹介と本技術を活用した社会課題の解決について, 小川健太, SEA Forum Hokkaido 鳥類研究のための空飛ぶドローン講座, 小川健太, 日本鳥学会2022年度大会 Automated Counting of Goose from UAV Image Using Deep Leaning, Kenta Ogawa; Yukiko Konno; Kaori Mori, ESRI User Conference UAV空撮画像を用いたマガンの個体群密度推定及び個体数推定, 野村隼平; 根本なぎさ; 小川健太, 日本写真測量学会北海道支部令和3年度 第40回学術講演会 UAVを用いた水鳥（マガン）の撮影と機械学習＆Deep Learningを用いた自動カウント, 小川 健太, 北海道ドローン協会会員限定ドローンセミナー Automated Counting Wild Birds on UAV Image Using Deep Learning, Kenta Ogawa; Yuting Lin; Hiroshi Takeda; Kanji Hashimoto; Yukiko Konno; Kaori Mori, International Geoscience and Remote Sensing Symposium 論文「UAV画像を用いた水面の水鳥の自動カウント」の紹介およびその後について, 小川 健太, 「リモセン虎の穴」 最近のドローンを使った活動紹介等, 小川 健太, 第4回北海道ドローン協会・会員交流会、情報交換会 ドローン画像を⽤いた機械学習によるマガンの⾃動カウント, 小川健太; 酪農学園大学環境空間情報学研究室学生一同; 宮島沼水鳥; 湿地センター牛山克, 北海道湿地フォーラム2020「シッチスイッチ」 災害対応に向けた衛星・ドローン・GIS活用について～状況認識の共有にむけて～, 小川 健太, 大規模災害に耐えうる災害支援システムに関するオンライン・セミナー ドローンや衛星画像技術の農業分野での利活用について, 小川 健太, JA新しのつ・新篠津村ICT農業研究会「ドローン学習会」 Automated Counting of Goose from UAV Image Using Machine Leaning, Kenta Ogawa; Yukiko Konno, ESRI User Conference UAVと圃場データベースの活用による牧草の乾物収穫量予測, 三枝俊哉; 小川健太; 森公象; 小玉哲大, 日本草地学会全国大会静岡大会 UAV画像から作成した3次元モデルによる牧草地の草量推定, 小川健太; 三枝俊哉; 森公象; 小玉哲大, 日本草地学会全国大会静岡大会 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性の向上, 小川健太、梅津尚幸, 消防庁特殊災害室林野火災対策説明会 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性の向上, 小川健太、梅津尚幸, 消防庁特殊災害室林野火災対策説明会 ドローンや衛星画像技術の農業分野での利活用について, 小川健太, 青森県「現場ニーズ対応企画研修（スマート農業の普及）」 UAVを用いた水鳥の撮影と機械学習を用いた自動カウント, 小川健太、大川文也, 日本写真測量学会令和元年度秋季学術講演会 ドローンを用いたセンシングに基づく圃場管理支援, 小川健太, 第4回スマート農業セミナー 戦略的イノベーション創造プログラム（SIP）における被災状況把握技術開発について, 六川修一、中村貴子、小川健太、鈴木誠, 公益社団法人物理探査学会第141回学術講演会 戦略的イノベーション創造プログラム（SIP）における被災状況把握技術の検証例について, 中村貴子、六川修一、小川健太、鈴木誠, 公益社団法人物理探査学会第141回学術講演会 ドローン画像＆機械学習による水鳥の自動カウント～北海道美唄市宮島沼にて, 小川健太、牛山克己, 日本鳥学会津戸シンポジウム「新技術をもちいた鳥類モニタリングと生態系管理」 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上～状況認識の共有を目指して, 金子正美、小川健太、鈴木透、小野貴司、森本淳子、梅林利弘、森洋久, 危機管理産業展2019 平成30年北海道胆振東部地震におけるEMT活動について, 小野貴司、金子正美、小川健太, 日本写真測量学会北海道支部春季特別講演会 ドローン画像＆機械学習による水鳥の自動カウント～北海道美唄市宮島沼にて, 小川健太、環境空間情報学研究室一同、牛山克己, 第15回GISコミュニティフォーラムマップギャラリー 農業ビックデータの伝送に最適な無線システム, 小川健太, 北海道農業ICT/Iot懇談会成果発表セミナー 人工林の風倒リスク推定に基づく森林計画─現在気候下での風倒モデリング─, 森本淳子; 高野宏平; 中川考介; Flavio Furukawa; 饗庭正寛; 小黒芳生; 吉村暢彦; 古川泰人; 三島啓雄; 小川健太; 伊東 瑠衣; Sridhara Nayak; 佐々井崇博; 竹見哲也; 柴田英昭, 第130回日本森林学会大会 機械学習を用いたUAV画像からのマガン係数精度の向上, 小練文弥; 小川健太; 牛山克己, 日本写真測量学会北海道支部第37回学術講演会 ドローンを用いた空中からの生物相モニタリング（「フィールド調査とロボット・センサ・通信技術をシームレスに連結する水域生態系モニタリングシステムの開発」サブテーマ2）, 小川健太; 鈴木透; 小練史弥, 第13回伊豆沼・内沼研究集会 林野火災におけるドローンおよびGIS活用について～状況認識の共有に向け, 小川健太, 消防庁特殊災害室林野火災対策説明会 林野火災におけるドローンおよびGIS活用について～状況認識の共有に向けて, 小川 健太, 林野火災対策説明会 スマート酪農の展開～ドローンや衛星画像技術の農地管理へ利活用について, 小川 健太, 第55回酪農公開講座 ドローンによる野鳥のカウント, 小川 健太, 宮島沼カントリーフェス2018 Semi-automated counting wild birds on water surface using UAV:An application of machine learning, Kenta Ogawa, 2018 International Conference on Unmanned Aerial Vehicles in Environment ドローンの各種分野での利活用について～酪農学園大学での取り組みを中心に, 小川 健太, 北方海域技術研究委員会「平成30年度講演会」 台風に伴う風倒かく乱後の倒木搬出が山火事発生リスクに与える影響, 梅林 利弘; 森本 淳子; 鈴木透; 小野貴司; 小川 健太, 日本生態学会大会 薄暗い条件でのドローン撮影：マガン検知に必要な露出時間とISO感度は？, 松田亜希子; 鈴木透; 小川健太, 日本生態学会大会 農業・環境・防災分野でのUAVの利活用に関する研究活動, 小川 健太, 日本リモートセンシング学会第63回（平成29年度秋季）学術講演会、特別講演 ドローンの農業、環境、防災分野の利活用について, 小川 健太, 野波健蔵氏特別講演会 ドローンを用いた水鳥のモニタリング手法の検討, 松田亜希子; 鈴木透; 小川健太, 日本鳥学会2017年度大会、自由集会「ロボットやネットワークカメラ、ドローンを活用した湿地生態系の監視・管理システムの構築」 水鳥モニタリングにおけるドローンの利用可能性, 鈴木透; 松田亜希子; 小川健太, ELR2017名古屋・ICLEE8、日本緑化工学会、日本景観生態学会、応用生態工学会、研究集会 育成牛放牧草地の養分分布における不均一性の指標-Iδ指数の有効性-, 奥井達也; 山下慈一; 宇垣亮佑; 塚崎顕太郎; 加藤祐太; 熊谷宇; 小川健太; 八木隆徳; 三枝俊哉, 日本土壌肥料学会2017年度仙台大会 農業分野を中心としたUAV（ドローン）の活用について, 小川 健太, ホクレン清水製糖工場区域視察研修 ドローンを用いた空中からの生物相モニタリング, 鈴木 透; 小川健太, 第11回伊豆沼・内沼研究集会 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上～現場で必要とされる情報について～, 小野貴史; 金子正美; 小川健太, 日本写真測量学会北海道支部大5回学術講演会 農業・環境分野等におけるUAVの活用状況, 小川 健太, 国土地理院北海道地方測量部第14回北海道測量技術講演会 UAVの環境・農業分野への活用と撮影画像解析の今後, 小川 健太, 一般社団法人日本環境アセスメント協会平成28年度第1回技術セミナー 管理来歴が育成牛放牧草地における養分分布の不均一性におよぼす影響, 三枝俊哉; 塚崎顕太郎; 加藤祐太; 熊谷宇; 小川健太; 八木隆徳, 日本草地学会石川大会 釧路湿原におけるエゾシカよる湿地林の生息地利用, 日野 貴文; 吉田 遼人; 五十嵐 守; 佐藤 温貴; 村井 拓成; 立木 靖之; 赤松 里香; 橋本 寛治; 小川 健太; 金子 正美; 吉田 剛司, 日本森林学会第127回大会 台風被害前後の空中写真から作成したDSMの差分による森林風倒地の推定, 玉利直樹; 小川健太; 森本淳子; 中川考介; 三島啓雄, 日本写真測量学会北海道支部第34回学術講演会 UAV空撮画像を用いたトウモロコシ圃場における植被率の系時変化の推定, 渡邊悠; フラビオ古川; 小川健太; 吉村暢彦; 義平大樹; 片山雄太, 日本写真測量学会北海道支部第34回学術講演会 Case studies for observation planning algorithm of a Japanese spaceborne sensor: Hyperspectral Imager Suite (HISUI), Kenta Ogawa; Yukiko Konno; Satoru Yamamoto; Tsuneo Matsunaga; Tetsushi Tachikawa; Mako Komoda; Osamu Kashimura; Shuichi Rokugawa, SPIE The International Society for Optical Engineering 2016 Effective observation planning and its simulation of a Japanese spaceborne sensor: Hyperspectral imager suite (HISUI), Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, International Geoscience and Remote Sensing Symposium (IGARSS), © 2014 IEEE.Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2017 or later. In HISUI project, observation strategy is important especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Using observation coverage simulation program and we estimate progress of observation coverage of image with days after launch. We found that HISUI can make 4 times repeated observations for protected area (20 million km2 in the world). And about 70 % of land surface can be observed over 5 years. We also found that the developed rules to avoid cloudy are will improve the area coverage up to 2.4 %.
Misc
酪農畜産におけるドローンの現状と展望～動物モニタリングにおけるドローン利活用の事例紹介, 小川健太, 大動物臨床研究会特別セミナー, 2024 05 北海道襟裳岬におけるドローン空撮画像を用いたゼニガタアザラシの自動カウント実用化に向けて, 小川健太; 紺野裕紀子; 岡村航平; 林 雨亭, 日本写真測量学会令和6年度年次学術講演会, 2024 05 襟裳岬に生息するゼニガタアザラシのUAV 空撮画像を用いた深層学習による個体数自動カウントと飛行計画の最適化, 岡村 航平; 小川 健太, 日本写真測量学会北海道支部学術講演会, 2024 03 UAVを用いた冬季てん菜貯蔵施設における温度モニタリング精度の向上について, 伊藤 颯馬; 小川 健太, 日本写真測量学会北海道支部学術講演会, 2024 03 UAV空撮による水鳥カウント精度向上のためのカメラの設定と比較に関する研究, 飯嶌 陽斗; 小川 健太; 野沢 麦; 米山 和希, 日本写真測量学会北海道支部学術講演会, 2024 03 ドローンや衛星画像 〜空からの情報をどのように活かすか, 小川健太, 札幌大通倫理法人会モーニングセミナー, 2024 01 ドローン空撮画像を用いた野生生物の検出・カウントについて, 小川健太, 動物の行動と管理学会2023年度大会公開シンポジウム, 2023 09 北海道襟裳岬におけるドローン空撮画像を用いた ゼニガタアザラシの自動カウントに関する初期的結果について, 小川健太; 紺野裕紀子; 堀江晶大; 上出真輝; 岡村航平; 林 雨亭; 山下慎吾; 熊谷文絵, 日本写真測量学会令和5年度年次学術講演会, 2023 05 襟裳岬における UAV 空撮画像を用いたゼニガタアザラシの自動カウント, 堀江晶大; 上出真輝; 紺野裕紀子; 小川健太, 日本写真測量学会北海道支部令和4年度 第41回学術講演会, 2023 03 飛躍を遂げるドローン, 小川健太; 小野貴司; 小林伸行, ニューカントリー, 827, 2023 02 UAV画像を用いた水面の水鳥の自動カウント, 小川健太; 牛山克巳; 小練史弥, THE JOURNAL OF SURCEY（月刊 測量）, 2022 03 UAV空撮画像を用いたマガンの個体群密度推定及び個体数推定, 野村隼平; 根本なぎさ; 小川健太, 日本写真測量学会北海道支部令和3年度 第40回学術講演会, 2022 03 「画像解析を社会実装する」, 小川 健太, 月刊ISM2020年9号, (9) 38 - 39, 2020 09 官学一体の研究と実証がドローン実運用化を加速する, 小川健太、小野貴司, 自治体ドローン活用情報EDAC会報, Vol.4, 2020 03 UAVと圃場データベースの活用による牧草の乾物収穫量予測, 三枝俊哉、小川健太、森公象、小玉哲大, 日本草地学会誌, 66, 2020 03 UAV画像から作成した3次元モデルによる牧草地の草量推定, 小川健太、三枝俊哉、森公象、小玉哲大, 日本草地学会誌, 66, (別) 12 - 12, 2020 03 ドローンや衛星画像技術の農業分野での利活用について, 小川健太, 農家の友, 第72巻, (第2号) 26 - 28, 2020 02 ドローンの活用、衛星画像による生育診断、スマート農業について, 小川 健太, 本別町農業塾, 2020 01 ドローンや衛星画像技術の農業分野での利活用について, 小川健太, 青森県「現場ニーズ対応企画研修（スマート農業の普及）」, 2019 11 UAVを用いた水鳥の撮影と機械学習を用いた自動カウント, 小川 健太、大川 文也, 日本写真測量学会令和元年度秋季学術講演会, 2019 11 ドローンを用いたセンシングに基づく圃場管理支援, 小川 健太, 第4回スマート農業セミナー, 2019 10 ドローン画像＆機械学習による水鳥の自動カウント～北海道美唄市宮島沼にて, 小川 健太、; 牛山克己, 日本鳥学会津戸シンポジウム「新技術をもちいた鳥類モニタリングと生態系管理」要旨集, 2019 10 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上, 金子 正美; 小川 健太, 消防防災科学技術研究推進制度 平成30年度終了研究課題 成果報告会, 2019 07 平成30年北海道胆振東部地震におけるEMT活動について, 小野貴司、金子正美、小川健太, 日本写真測量学会北海道支部春季特別講演会, 2019 06 ドローンを活用したガンカモ類調査ガイドライン, ガイドライン編集員会(小川健太、鈴木透、高橋祐亮、神山和夫、牛山克己、嶋田哲郎), ドローンを活用したガンカモ類調査ガイドライン, 2019 03 機械学習を用いたUAV画像からのマガン係数精度の向上, 小練文弥; 小川健太; 牛山克己, 日本写真測量学会北海道支部第37回学術講演会 講演予稿集, 2019 03 農業ビックデータの伝送に最適な無線システム, 小川 健太, 北海道農業ICT/Iot懇談会成果発表セミナー, 2019 03 ドローンを用いた空中からの生物相モニタリング（「フィールド調査とロボット・センサ・通信技術をシームレスに連結する水域生態系モニタリングシステムの開発」サブテーマ2）, 小川健太; 鈴木透; 小練史弥, 第13回伊豆沼・内沼研究集会要旨集, 2019 02 Forest planning based on the risk assessment of windthrow of plantation under the current climate, Morimoto Junko; Ogawa Kenta; Ito Rui; Sasai Takahiro; Takemi Tetsuya; Shibata Hideaki; Takano Kohei; Nakagawa Kosuke; Furukawa Flavio; Aiba Masahiro; Yoshimura Nobuhiko; Oguro Michio; Furukara Yasuto; Mishima Yoshio, The Japanese Forest Society Congress, 130, (0) 697 - 697, 2019 , 10.11519/jfsc.130.0_697, [in Japanese]
スマート酪農の展開～ドローンや衛星画像技術の農地管理への利活用について, 小川 健太, 北海道命名150記念・第55回酪農公開講座「北海道酪農の歴史と未来」, 2018 10 Comparison of susceptibility of artificial forests and natural forests to strong winds in Hokkaido, Junko Morimoto; Kosuke Nakagawa; Kohei T. Takano; Masahiro Aiba; Michio Oguro; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Rui Ito; Tetsuya Takemi, 8th International Conference on Wind and Trees, National Center for Atmospheric Research, Boulder, CO, USA, 17 July - 20 July 2017., 2017 07 ドローンの農業利用の可能性と実践例, 小川健太, 酪農ジャーナル, 69, (12月号) 26 - 28, 2016 12 空間計測技術を活用した作物の生育管理, 金子正美; 小川健太; 鎌形哲稔, 土木技術、特集「土木と食」, 71, (10) 52 - 57, 2016 10 農業分野へのマルチプラットフォームセンシングの適用, 鎌形哲稔; 前田桂子; 福島あゆみ; 小川健太, 農業農村工学会誌「水土の知」小特集「圃場モニタリングのためのリモートセンシング技術の最前線-4」, 84, 2016 09 Case Study of High-temporal Monitoring of Green Coverage in a Dent Corn Field Using a Drone, 吉村暢彦; 古川フラビオ; 渡辺悠; 宋粮; 大原譽丈; 小川健太; 義平大樹, 農業農村工学会誌「水土の知」小特集「圃場モニタリングのためのリモートセンシング技術の最前線-7」, 84, (9) 773 - 776, 2016 09 Designing and implementing a technical training course on forest remote sensing to promote REDD+ A case study at Rakuno Gakuen University, YOSHIMURA Nobuhiko; Hino TAKAFUMI; KANEKO Masami; HOSHINO Buho; OGAWA Kenta, Journal of the College of Dairying. Natural science, 40, (1) 35 - 45, 2015 10 Developing windthrow risk model for plantation management strategy under climate change, Kosuke Nakagawa; Junko Morimoto; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Tetsuya Takemi; Kohei Takano; Masahiro Aiba; Michio Oguro, The 9th International Association of Landscape Ecology World Congress, Hilton Portland & Executive Tower, Portland, Oregon, 5-10 July 2015, 2015 07 気候変動下における人工林の最適配置へ向けた風倒リスク評価モデルの構築, 中川考介; 森本淳子; 三島啓雄; 小川健太; 竹見哲也, 日本生態学会大会講演要旨(Web), 62nd, 2015 強風かく乱に対する人工林のレジリエンス―天然林との比較―, 森本淳子; 大竹口久美子; 三島啓雄; 古川泰人; 小川健太, 日本生態学会大会講演要旨(Web), 61st, 2014 人工林化に伴う風倒撹乱への影響の解明―天然林との比較研究, 中川考介; 森本淳子; 三島啓雄; 古川泰人; 小川健太, 日本生態学会大会講演要旨(Web), 61st, 2014 Fire risk assessment in a secondary forest with a floor dominated by ferns in the dry granite region of Japan, MORIMOTO Junko; HAMAMOTO Nao; KOMINAMI Ryo; MISHIMA Yoshio; OGAWA Kenta, The Japanese Association of The Revegetaion Technology, 40, (1) 120 - 123, 2014 , 10.7211/jjsrt.40.120, The cause of fire ignition and spread, the surface fuel load on the forest floor, should be evaluated for forest fire risk assessment. Fire risk assessment was conducted via unit and total surface fuel in a forest dominated by Dicranopteris linearis in secondary forests in a dry and warm climate region in Japan. Forests with no fire history were ranked with the highest risk of fire via the assessment of unit and total surface fuel. However, the risk assessment results of forests with fire history were completely different. The risk by unit of surface fuel increased across forest age, but the risk by total surface fuel was higher in younger forests that had regenerated after recent fire due to their larger areas. The importance of landscape structure on fire risk assessment was suggested. Observation Planning Algorithm of a Japanese Spaceborne Sensor: Hyperspectral Imager Suite (HISUI), Kenta Ogawa; Kayo Nishiwaki; Yukiko Konno; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Jun Tanii, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XVIII, 9241, 2014 , 10.1117/12.2066810, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2017 or later. In HISUI project, observation strategy is important especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. We have developed concept of multiple algorithms approach. The concept is to use two (or more) algorithm models (Long Strip Model and Score Downfall Model) to select observing scenes from complex data acquisition requests with satisfactory of sensor constrains. We have tested the algorithm, and found that the performance of two models depends on remaining data acquisitions, i.e. distribution score along with orbit. We conclude that the multiple algorithms approach will be make better collection plans for HISUI comparing with single fixed approach. OBSERVATION PLANNING AND ITS COVERAGE SIMULATION OF A JAPANESE SPACEBORNE SENSOR: HYPERSPECTRAL IMAGER SUITE (HISUI), Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013 , 10.1109/IGARSS.2013.6723813, As mentioned above, the simulation program is useful to investigate observation-planning strategy and rules for improving efficiency of observations. © 2013 IEEE. A study on Cooperation of Gathering and Sharing the Disaster Information Using Map Information : An Validation of Methods of Gathering Disaster Information and Formulation of the EMT in Ebetsu City, 目黒 茂樹; 小川 健太; 鄭 炳表, 消防研究所報告, (112) 1 - 12,図巻頭1p, 2012 03 Observation Planning Strategy of a Japanese Spaceborne Sensor: Hyperspectral Imager Suite (HISUI), Kenta Ogawa; Makoto Takenaka; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS IV, 8527, 2012 , 10.1117/12.977316, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument [1][2] being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI's operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team will make long-and short-term observation strategy of the sensor. OMP is important for HISUI especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Major factors of the limitations are the combinations of downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The achievements of global mapping or regional monitoring need to be simulated precisely before launch [3]. We have prepared daily global high resolution (30 second in latitude and longitude) climate data for the simulation. USAGE OF CLOUD CLIMATE DATA IN OPERATION MISSON PLAN SIMULATION FOR JAPANESE FUTURE HYPERSPECTRAL AND MULTISPECTRAL SENOR: HISUI, Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012 , 10.1109/IGARSS.2012.6352335, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument [1][2] being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI's operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team will make long term and short term strategy of the observation and sensor operation plan. OMP is important for HISUI especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Major factors of the limitations are the combinations of downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The achievements of global mapping or repeated observations of specific site need to be simulated precisely before launch [3]. We have prepared daily global high resolution (30 second in latitude and longitude) climate data for the simulation. © 2012 IEEE. Operation plan study for Japanese future hyperspectral mission: HISUI, T. Matsunaga; S. Yamamoto; O. Kashimura; T. Tachikawa; K. Ogawa; A. Iwasaki; S. Tsuchida; N. Ohgi, 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 2011 12 01 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84879777852&origin=inward, Japanese future spaceborne hyperspectral mission, Hyperspectral Imager Suite (HISUI), will be launched in 2015 or later as one of mission instruments onboard JAXA's Advanced Land Observation Satellite 3 (ALOS-3). HISUI will consist of a hyperspectral imager and a multispectral imager with 30 m and 5 m spatial resolution and 30 km and 90 km swath, respectively. Although observation requests to HISUI from users in various application fields are expected to be so many, the instrument duty time and the allocation of downlink resources of ALOS-3 will limit actual observation of HISUI. Various plans of HISUI operation, which satisfy as much as possible within allocated resources, will be presented. プロジェクト研究の紹介 酪農学園大学農業環境情報サービスセンターの設立と地域連携, 金子 正美; 小川 健太, グリーンテクノ情報, 7, (2) 34 - 38, 2011 10 Operation Planning for Japanese Future Hyperspectral and Multispectral Senor: HISUI and Usage of Cloud Climate Data, Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Akira Iwasaki; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XV, 8176, 2011 , 10.1117/12.898590, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI's operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team has responsibility to make long term and short term strategy of the observation and sensor operation plan. The OMP is important for HISUI to archive both global mapping and monitoring of specific sites. Major factors of the HISUI operation limitations are downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The OMP plans to use detailed climate data generated from MODIS data for observation simulation. The workflow to deal cloud climate data is described in this paper. Simulation of Operation of Future Japanese Spaceborne Hyperspectral Imager: HISUI, Tsuneo Matsunaga; Satoru Yamamoto; Soushi Kato; Osamu Kashimura; Tetsushi Tachikawa; Kenta Ogawa; Akira Iwasaki; Satoshi Tsuchida; Nagamitsu Ohgi; Shuichi Rokugawa, EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS II, 8181, 2011 , 10.1117/12.898376, HISUI, a Japanese future spaceborne hyperspectral and multispectral imaging system, is currently being developed by Japanese Ministry of Economy, Trade, and Industry. Because of the narrow swath of the imager as well as the limits on the operation time and data downlink resource allocation, the operation strategy of HISUI should be examined thoroughly to fully utilize HISUI's earth observation capability. A software which simulates HISUI's operation is being developed for the detailed analysis of HISUI's long term operation plans. The simulation results indicate that 1) one-time priority area mapping will be completed within eight months with moderate data downlink allocation, 2) one-time global observation in a year will be possible if the allocated downlink capability is more than 250 GByte per day, 3) the nighttime volcano monitoring will not significantly affect the daytime observation if the cross track pointing only for nighttime observation is not allowed. 「農業環境情報サービスセンター」の設立構想と役割--環境と共生した循環型農業の実現に向けて (特集 酪農学園大学の新しい農業普及事業), 金子 正美; 小川 健太, 酪農ジャ-ナル, 63, (1) 32 - 35, 2010 01 Detecting land cover change at the Jornada Experimental Range, New Mexico with ASTER emissivities, A. N. French; T. J. Schmugge; J. C. Ritchie; A. Hsu; F. Jacob; K. Ogawa, REMOTE SENSING OF ENVIRONMENT, 112, (4) 1730 - 1748, 2008 04 , 10.1016/j.rse.2007.08.020, Multispectral thermal infrared remote sensing of surface emissivities can detect and monitor long term land vegetation cover changes over arid regions. The technique is based on the link between spectral emissivities within the 8.5-9.5 mu m interval and density of sparsely covered terrains. The link exists regardless of plant color, which means that it is often possible to distinguish bare soils from senescent and non-green vegetation. This capability is typically not feasible with vegetation indices. The method is demonstrated and verified using ASTER remote sensing observations between 2001 and 2003 over the Jornada Experimental Range, a semi-arid site in southern New Mexico, USA. A compilation of 27 nearly cloud-free, multispectral thermal infrared scenes revealed spatially coherent patterns of spectral emissivities decreasing at rates on the order of 3% per year with R-2 values of similar to 0.82. These patterns are interpreted as regions of decreased vegetation densities, a view supported by ground-based leaf area index transect data. The multi-year trend revealed by ASTER's 90-m resolution data are independently confirmed by 1-km data from Terra MODIS. Comparable NDVI images do not detect the long-term spatially coherent changes in vegetation. These results show that multispectral thermal infrared data, used in conjunction with visible and near infrared data, could be particularly valuable for monitoring land cover changes. (c) 2007 Elsevier Inc. All rights reserved. Estimating broadband emissivity of arid regions and its seasonal variations using thermal infrared remote sensing, Kenta Ogawa; Thomas Schmugge; Shuici Rokugawa, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 46, (2) 334 - 343, 2008 02 , 10.1109/TGRS.2007.913213, Surface emissivity in the thermal infrared region is an important parameter for determining the surface radiation budget in climate, weather, and hydrological models. This paper focuses on estimating the spatial and temporal variations of the surface emissivities using thermal infrared remotely sensed data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra satellite. We developed a regression approach to use the ASTER and MODIS data for estimating the broadband emissivity (BBE; 8-13.5 mu m). The regressions were calibrated using a library of spectral emissivity data for terrestrial materials. We applied these regressions to ASTER and MODIS data to obtain emissivity maps for several and regions of the Earth. In the 8-9-mu m band for sparsely or nonvegetated desert areas, emissivity values between 0.66 and 0.96 have been observed, which are due to the low emissivity of quartz-rich sands at these wavelengths. As a result, the range of BBE is between 0.86 and 0.96. The seasonal variation over a two-year period and the dependence on land cover/soil type were also investigated. Vegetation change detection using thermal band emissivities over Jornada, New Mexico, USA, Andrew N. French; Thomas J. Schmugge; Jerry C. Ritchie; Ann Hsu; Frederic Jacob; Kenta Ogawa, IAHS-AISH Publication, 2007 12 01 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=55749115454&origin=inward, Detecting land cover change over semi-arid rangeland is important for monitoring vegetation responses to drought, population expansion, and changing agricultural practices. Such change can be detected using vegetation indices, but these do not represent non-green vegetation and are dominated by seasonal changes. An alternative is to observe spatial changes in thermal emissivities, a measure that responds to soil surface composition and vegetation cover. Because soil emissivities are usually stable, temporal emissivity changes could be due to vegetation cover changes. Using ASTER thermal infrared observations, the technique is applied to observations over the Jornada Experimental Range in New Mexico between 2001 and 2003. The study showed spatially coherent regions where broadband emissivities decreased as much as 3%. These coherent regions may correspond to decreased vegetation densities, suggesting that the technique could be helpful for monitoring rangeland cover. Copyright © 2007 IAHS Press. Satellite observations of the land surface emissivity in the 8-12 μm window: Effect of soil moisture, Thomas Schmugge; Kenta Ogawa; Patricia De Rosnay, IAHS-AISH Publication, 2007 12 01 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=55749086056&origin=inward, Monthly and 8-day composites of thermal infrared (TIR) surface emissivity data from the MODerate resolution Imaging Spectrometer (MODIS) sensor on NASA's Terra satellite were analysed for temporal variations over North Africa. It was found that the emissivity of the 8.55 um band (MODIS band 29) increased by about 0.1 each July/August in the southwestern Sahara (19°N, 3°W). To understand this increase, the emissivity variation was compared with the normalized difference vegetation index (NDVI) also derived from MODIS, with soil moisture estimates from the Advanced Microwave Scanning Radiometer (AMSR-E) microwave sensor on NASA's Aqua satellite and with ground measures of soil moisture. No correspondence was found with NDVI in this area. However, the TIR emissivity increase was found to be qualitatively correlated with an increase in the AMSR derived soil moisture. This increase in TIR emissivity with soil moisture is in agreement with the laboratory measurements. Copyright © 2007 IAHS Press. Validation of Emissivity Estimates from ASTER and MODIS Data, Thomas Schmugge; Kenta Ogawa, 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006 , 10.1109/IGARSS.2006.71, Two distinctly different approaches are used to extract emissivity information from ASTER and MODIS data. ASTER uses an intuitive empirical relationship between the range of emissivities in the 5 ASTER bands and their minimum value. With its greater swath MODIS is able to uses the day / night pair of observations to obtain the emissivities. The combination of the two approaches should provide robust estimation of the land surface emissivity. Estimating thermal infrared broadband emissivity of arid region using remote sensing, K Ogawa; T Schmugge; S Rokugawa, MULTISPECTRAL AND HYPERSPECTRAL REMOTE SENSING INSTRUMENTS AND APPLICATIONS II, 5655, 2005 , 10.1117/12.583186, Surface emissivity in the thermal infrared region is an important parameter for the studies of energy budget and surface energy balance. This paper focuses on estimating broadband emissivity using two sensors on NASA's Earth Observing System (EOS) Terra satellite, Advanced Spaceborne Thermal Emission and reflection Radiometer (ASTER) and MODerate resolution Imaging Spectrometer (MODIS). We developed a regression approach to generate infrared broadband emissivity maps from ASTER or MODIS data. The regressions are to relate the broadband emissivity to the emissivities for the ASTER or MODIS channels. The both regressions were calibrated using libraries of spectral emissivities.
We applied this approach for ASTER and MODIS data acquired over the North Africa and Australia. The range of the broadband emissivity was found to be between 0.86 and 0.96 for the desert area. The root mean difference between the emissivities from these two sensors is smaller than 0.015. Such emissivity map could be used as an input of climate model and could contribute for improving the simulated surface and air temperature up to 1.1 and 0.8 degrees C respectively. The method can be applied to any and regions of the world. Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors, F Jacob; F Petitcolin; T Schmugge; E Vermote; A French; K Ogawa, REMOTE SENSING OF ENVIRONMENT, 90, (2) 137 - 152, 2004 03 , 10.1016/j.rse.2003.11.015, This study compared surface emissivity and radiometric temperature retrievals derived from data collected with the MODerate resolution Imaging Spectroradiometer (MODIS) and Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) sensors, onboard the NASA's Earth Observation System (EOS)-TERRA satellite. Two study sites were selected: a semi-arid area located in northern Chihuahuan desert, USA, and a Savannah landscape located in central Africa. Atmospheric corrections were performed using the MODTRAN 4 atmospheric radiative transfer code along with atmospheric profiles generated by the National Center for Environmental Predictions (NCEP). Atmospheric radiative properties were derived from MODTRAN 4 calculations according to the sensor swaths, which yielded different strategies from one sensor to the other. The MODIS estimates were then computed using a designed Temperature-Independent Spectral Indices of Emissivity (TISIE) method. The ASTER estimates were derived using the Temperature Emissivity Separation (TES) algorithm. The MODIS and ASTER radiometric temperature retrievals were in good agreement when the atmospheric corrections were similar, with differences lower than 0.9 K. The emissivity estimates were compared for MODIS/ASTER matching bands at 8.5 and 11 mum. It was shown that the retrievals agreed well, with RMSD ranging from 0.005 to 0.015, and biases ranging from -0.01 to 0.005. At 8.5 mum, the ranges of emissivities from both sensors were very similar. At 11 mum, however, the ranges of MODIS values were broader than those of the ASTER estimates. The larger MODIS values were ascribed to the gray body problem of the TES algorithm, whereas the lower MODIS values were not consistent with field references. Finally, we assessed the combined effects of spatial variability and sensor resolution. It was shown that for the study areas we considered, these effects were not critical. (C) 2004 Elsevier Inc. All rights reserved. A sensitivity study of climate and energy balance simulations with use of satellite-derived emissivity data over Northern Africa and the Arabian Peninsula, L. Zhou; R. E. Dickinson; Y. Tian; M. Jin; K. Ogawa; H. Yu; T. Schmugge, Journal of Geophysical Research D: Atmospheres, 108, 2003 12 27 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=1642317905&origin=inward, This paper analyzes the sensitivity of simulated climate and energy balance to changes in soil emissivity over Northern Africa and the Arabian Peninsula and considers how this information may be used to improve emissivity parameterizations in climate models. Analysis of satellite observations suggests that the soil emissivity in current models is too high over this region. Sensitivity tests based on the recently developed Community Land Model indicate that this bias could produce significant errors in the model simulated ground and air temperature, net and upward longwave radiation, and sensible heat flux. There is a linear relationship between changes in emissivity and changes in these variables. Statistical results show that, on average for the study region, a decrease of soil emissivity by 0.1 will increase ground and air temperature by about 1.1°C and 0.8°C and decrease net and upward longwave radiation by about 6.6 Wm-2 and 8.1 Wm-2, respectively, at the ground surface. The decreased net longwave radiation (less emission) is mainly balanced by an increase of sensible heat flux of about 5.9 Wm-2. These relations vary seasonally and diurnally. The temperature increases are slightly higher in winter than in summer and twice as large during nighttime as during daytime, while the sensible heat flux and longwave radiation show more change in summer/daytime than in winter/ nighttime. Our experimental results are consistent with our theoretical energy balance analyses. When a more realistic emissivity value is used, the model cold bias over the Sahara in comparison with land surface air temperature observations could be partially reduced. These results indicate that the simple representations of the land surface emissivity in climate models, especially for bare soil, need improvements based on satellite and in situ observations. Copyright 2003 by the American Geophysical Union. Relations between albedos and emissivities from MODIS and ASTER data over North African desert, L Zhou; RE Dickinson; K Ogawa; Y Tian; M Jin; T Schmugge; E Tsvetsinskaya, GEOPHYSICAL RESEARCH LETTERS, 30, 2003 10 , 10.1029/2003GL018069, [1] This paper analyzes relations among MODIS surface albedos, ASTER broadband ( 3 - 14 mum) emissivities, and a soil taxonomy map over the arid areas of Algeria, Libya, and Tunisia in North Africa at 30 second ( about 1 km) and 2 minute ( about 4 km) spatial resolutions. The MODIS albedo data are from 7 spectral bands and 3 broadbands during dust-free seasons and the emissivity data are derived from a linear combination of the waveband emissivities of the ASTER five thermal infrared channels. Both albedo and emissivity data in the study region show similar considerable spatial variability, larger than assumed by most climate models, and such variability is related to the surface types ( sands, rock, and soil orders). Emissivity over bare soils exhibits statistically significant correlations with albedos at both broadbands and most of spectral bands and decreases linearly with albedos. Albedo and emissivity are more strongly correlated with each other than either is to the surface types, apparently because of their higher resolution either spatially or in surface mineralogy. This paper provides guidance for the possible inclusion of such correlation to specify albedo and emissivity in climate models. ASTER thermal infrared observations over New Mexico, T Schmugge; A French; F Jacob; K Ogawa; J Ritchie; M Chopping; A Rango, REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY IV, 4879, 2003 , 10.1117/12.462464, The Advanced Spaceborne Thermal Emission Reflectance Radiometer (ASTER) has acquired more than a dozen clear sky scenes over the Jornada Experimental Range in New Mexico since the launch of NASA's Terra satellite in December, 1999. To support the ASTER overpasses there were simultaneous field campaigns for the 5/09/00, 5/12/01, 9/17/01 and 5/15/02 scenes. Also, data from an airborne simulator, MASTEF, were obtained for the 5/12/01 and 5/15/02 scenes to provide high resolution (3 in) data roughly coincident with ASTER. The Jornada Experimental Range is a long term ecological reserve (LTER) site located at the northern end of the Chihuahuan desert. The site is typical of a desert grassland where the main vegetation components are grass and shrubs. The White Sands National Monument is also within several of the scenes. ASTER has 5 channels in the 8 to 12 micrometer wave band with 90 meter resolution and thus is able to provide information on both the surface temperature and emissivity. The Temperature Emissivity Separation (TES) algorithm was used to extract emissivity values from the ASTER data for 5 sites on the Jornada and for the gypsum sand at White Sands. The results are in good agreement with values calculated from the lab spectra for gypsum and with each other. The results for sites in the Jomada show reasonable agreement with the lab results when the mixed pixel problem is taken into account. These results indicate ASTER and TES are working very well. The surface brightness temperatures from ASTER were in reasonable agreement with measurements made on the ground during the field campaigns. Two surface temperature retrieval methods compared over agricultural lands, AN French; TJ Schmugge; F Jacob; K Ogawa, REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY IV, 4879, 2003 , 10.1117/12.462452, Accurate, spatially distributed surface temperatures are required for modeling evapotranspiration (ET) over agricultural fields under wide ranging conditions, including stressed and unstressed vegetation. Modeling approaches that use surface temperature observations, however, have the burden of estimating surface emissivities. Emissivity estimation, the subject of much recent research, is facilitated by observations in multiple thermal infrared bands. But it is nevertheless a difficult task. Using observations from multiband thermal sensors, ASTER and MASTER, estimated surface emissivities and temperatures are retrieved in two different ways: the temperature emtissivity separation approach (TES), and the normalized emissivity approach (NEM). Both rely upon empirical relationships, but the assumed relationships are different. TES relies upon a relationship between the minimum spectral emissivity and the range of observed emissivities. NEM relies upon an assumption that at least one thermal band has a predetermined emissivity (close to 1.0). Experiments comparing TES and NEM were performed using simulated observations from spectral library data, and with actual data from two different landscapes- one in central Oklahoma, USA, and another in southern New Mexico, USA. The simulation results suggest that TES's empirical relationship is more realistic than NEM's assumed maximum emissivity, and therefore TES temperature estimates are more accurate than NEM estimates. But when using remote sensing data, TES estimates of maximum emissivities are lower than expected, thus causing overestimated temperatures. Work in progress will determine the significance of this overestimation by comparing ground level measurements against the remote sensing observations. Validation of emissivity estimates from ASTER data, T Schmugge; K Ogawa; F Jacob; A French; A Hsu; J Ritchie, IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS, 3, 2003 , The multispectral thermal infrared data obtained from the Advanced Spaceborne Thermal Emission and Reflection (ASTER) radiometer have been shown to be of good quality. ASTER is on NASA's Terra satellite. It has 5 bands in the 8 to 12 micrometer waveband with 90 to spatial resolution, when the data are combined with the Temperature Emissivity Separation (TES) algorithm the surface emissivity over this wavelength region can be determined. This paper will present some quantitative emissivity results obtained over test sites in southern New Mexico, USA; the Jornada Experimental Range and the White Sands National Monument which are compared with ground measurements. The Jornada site is typical of a desert grassland where the main vegetation components are grass and shrubs with a large fraction of exposed soil. While the White Sands site is mainly dunes of gypsum sand which provides relatively good homogenous emissivity target. More than a dozen ASTER scenes over these New Mexico test sites have been acquired since the launch of Terra in December 1999. There were simultaneous field campaigns in May of 2000, 2001 and 2002 and September/October 2001 and 2002. Also, simultaneous MASTER (MODIS-ASTER airborne simulator) coverage was obtained for several of the dates. In spite of the 90 m resolution, the results appear to be in good quantitative agreement with laboratory measurements of the emissivity for the quartz rich soils of the Jornada with values < 0.85 for the 8 - 9 micrometer channels. For the longest wavelength channels little spatial variation of the emissivity was observed with values of 0.96 +/- 0.005 over large areas. Emissivity values derived from several ASTER scenes for the gypsum at White Sands were in good agreement with field measurements and values calculated from the lab spectra for gypsum and with each other. Gypsum has a strong emissivity minimum centered on the ASTER 8.63 micrometer band, and the satellite results for this band agree within 0.01 of the value calculated from the laboratory spectra. Mapping land surface window (8-12 mu m) emissivity from ASTER thermal data, K Ogawa; T Schmugge; F Jacob; A French, IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS, 5, 2003 , Land surface window (8-12 mum) emissivity is an important parameter for estimating the longwave radiation budget in the study of earth-atmosphere system. This paper focuses on estimation and validation of the window emissivity using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Using this sensor, it is possible to estimate surface spectral emissivity for five channels in thermal infrared region. An example is presented for a desert region in North Africa. In this paper, a multiple regression was used to relate the five ASTER emissivities to the window emissivity. This regression was developed using laboratory spectral measurement data. We validated this approach using a field radiometer that has a window channel and five spectral channels similar to ASTER's wavelengths. The predicted window emissivities agreed within 0.01 RMSE of measured window emissivity. We applied this regression to emissivities extracted from ASTER data acquired in 2001 and 2002 over a 400 km by 1200 km area in the Sahara Desert. The derived emissivity map showed that the value widely ranges between 0.82 and 0.96 in desert region. These results show that ASTER data is useful for mapping the spatial variations of surface window emissivity over large area in the deserts of the world. Estimation of land surface window (8-12 mu m) emissivity from multispectral thermal infrared remote sensing - A case study in a part of Sahara Desert, K Ogawa; T Schmugge; F Jacob; A French, GEOPHYSICAL RESEARCH LETTERS, 30, (2) 39 - 1, 2003 01 , 10.1029/2002GL016354, [1] Land surface window emissivity is an important parameter for estimating the longwave radiative budget. This study focuses on estimating the window (8-12 mum) emissivity from the waveband emissivities of the five thermal infrared channels of the Advanced Spaceborne Thermal Emission and Reflection Radiometer ( ASTER). ASTER data along with the Temperature-Emissivity Separation (TES) algorithm allows us to estimate surface channel emissivities with 90 m spatial resolution globally. Multiple regression was used to relate window emissivity to the five ASTER emissivities. This regression was developed using spectral libraries. Its residual error was less than 0.005 (RMSE) for values ranging between 0.81 and 1.00. We applied this regression to ASTER emissivities extracted from data acquired in 2001 and 2002 over a 240 x 1200 km area in a desert of North Africa. A comparison against a classification based emissivity map showed significant differences ranging between -0.08 and + 0.06. 学位論文をまとめるに当たって : 第2弾(Part 1), 小川 健太, 水文・水資源学会誌, 15, (4) 440 - 440, 2002 07 05 アメリカ合衆国農務省における熱赤外リモートセンシングと地表面熱収支に関する研究, 小川 健太, 水文・水資源学会誌, 15, (4) 439 - 439, 2002 07 05 Estimation of broadband land surface emissivity from multi-spectral thermal infrared remote sensing, Kenta Ogawa; Thomas Schmugge; Frédéric Jacob; Andrew French, Agronomie, 22, 2002 01 01 Estimation of broadband emissivity from satellite multi-channel thermal infrared data using spectral libraries, K Ogawa; T Schmugge; F Jacob; A French, IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS, 6, 2002 , Surface broadband thermal infrared emissivity is an important parameter for estimating the longwave surface energy balance. This study focuses on estimating the broadband emissivity from the emissivities of the five channels on the Advanced Spaceborne Thermal Emission and Reflection Radiometer / Thermal Infrared Radiometer (ASTER/TIR). ASTER is a sensor onboard the Earth Observing System (EOS) Terra satellite launched in 1999, and has five channels in the thermal infrared region (8-12 mum). Using this sensor, it is possible to estimate surface spectral emissivity for each channel at a spatial resolution of 90 m.
Broadband emissivities (3-14 mum) were calculated using two spectral libraries, John Hopkins University Spectral Library (JHU Library) and MODIS UCSB (University of California, Santa Barbara) Emissivity Library (UCSB Library). They ranged from 0.89 to 0.99 for natural surfaces, such as, rocks, soils, vegetation, water, ice, and snow. Then, we assumed that the broadband emissivity can be expressed as a linear combination emissivities for the five ASTER/TIR channels. The linear regression was calibrated using JHU Library and validated with the UCSB Library. The absolute error on the estimated broadband emissivity was less than 0.01 for 93 % of all samples and RMSE was 0.0051 over an emissivity range from 0.91 to 0.99 in validation.
Finally, this calibrated regression was applied to emissivities computed from the data acquired with ASTER/TIR over the Jornada Experimental Range in New Mexico to produce a map of broadband emissivity for this area. リモートセンシングの普及に関する課題と将来, 小川 健太, 日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan, 21, (1) 110 - 111, 2001 03 31 Evaluation of Thickness of Desert Varnish on the Rock Surface Using Thermal Infrared Multispectral Remote Sensing Data, OGAWA Kenta; ROKUGAWA Shuichi; MATSUNAGA Tsuneo; NINOMIYA Yoshiki, Journal of the Remote Sensing Society of Japan, 19, (1) 45 - 58, 1999 03 31 , 10.11440/rssj1981.19.45 A comparison of thermal infrared emissivity spectra measured in situ, in the laboratory, and derived from thermal infrared multispectral scanner (TIMS) data in Cuprite, Nevada, U.S.A, Y. Ninomiya; T. Matsunaga; Y. Yamaguchi; K. Ogawa; S. Rokugawa; K. Uchida; H. Muraoka; M. Kaku, International Journal of Remote Sensing, 18, (7) 1571 - 1581, 1997 , 10.1080/014311697218287, In order to obtain ground truth data for multispectral thermal infrared sensors such as TIMS and ASTER, in situ spectral emissivity measurements were made during field surveys. These spectral emissivity measurements and laboratory spectral reflectance measurements of field samples were compared to emissivity spectra extracted from TIMS data at the surveyed points. The results indicate that emissivity spectra derived from the TIMS data agree well in shape with the spectra measured in situ or in the laboratory. © 1997, Taylor &
Francis Group, LLC. All rights reserved. Evaluation of Rock Weathering Process Using Thermal Infrared Remote Sensing Data, OGAWA Kenta; ROKUGAWA Shuichi; MATSUNAGA Tsuneo; NINOMIYA Yoshiki, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 19, 1995 11 01 A method of TIR spectral emissivity measurements with a calibration using emissions from dual temperature blackbodies, and its error factors, NINOMIYA Y; MATSUNAGA T; OGAWA K; SASANO H; ROKUGAWA S, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 18, 1995 05 01 Laboratory Measurement of Thermal Infrared Spectral Emissivity with Environmental Radiance Reduction, MATSUNAGA T; NINOMIYA Y; YOSHIKAWA H; YAMAGUCHI Y; OGAWA K, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 18, 1995 05 01 Evaluation of Rock Weathering Process Using Spectral Characteristics in the Thermal Infrared Region, OGAWA Kenta; ROKUGAWA Shuichi; MATSUNAGA Tsuneo; NINOMIYA Yoshiki, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 18, 1995 05 01
Patents
画像情報処理システム, 石丸 伸裕, 岩村 一昭, 田中 紀夫, 室 啓朗, 小川 健太, 特願2004-090901, 特開2005-276004, 特許第4251101号 目標物検出方法及び目標物検出装置, 石丸 伸裕, 小川 祐紀雄, 小川 健太, 岩村 一昭, 野本 安栄, 特願2000-126231, 特開2001-307106, 特許第3978979号 画像情報処理システム, 石丸 伸裕, 岩村 一昭, 田中 紀夫, 室 啓朗, 小川 健太, 特願2004-090901, 特開2005-276004 目標物抽出・表示方法、及び、目標物抽出・表示装置, 石丸 伸裕, 小川 祐紀雄, 小川 健太, 岩村 一昭, 野本 安栄, 特願2000-126231, 特開2001-307106 画像処理システム, 小川 健太, 田中 紀夫, 野本 安栄, 特願平9-314826, 特開平11-149548
Awards & Honors
2023 07 , ESRI User Conference 2023, ESRI User Conference 2023 Map Gallery Analytic Methods and Results, First place, Goose123: Automated Counts of Goose on UAV Image Using Deep Learning 2023 03 , 日本写真測量学会北海道支部, 優秀論文発表賞, 襟裳岬における UAV 空撮画像を用いたゼニガタアザラシの自動カウント 2021 05 , 日本リモートセンシング学会, 日本リモートセンシング学会 論文賞, UAV画像を用いた水面の水鳥の自動カウント
Research Grants & Projects
Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Drone Photography and Image Object Detection by AI for Automatic Bird Counting, 20220401, 20250331, 小川 健太 農水省, 革新的技術開発・緊急展開事業（先導プロジェクト）ICT,ロボット技術等を活用した牧草生産の省力的技術体系の確立, 無人航空機（UAV）とロボットトラクタを活用した省力的牧草生産技術体系の確立, 2016, 2018, 小川 健太 総務省, 消防防災科学技術研究推進制度, 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上, 2016, 2018, 金子 正美 環境省, 環境研究総合推進費, フィールド調査とロボット・センサ･通信技術をシームレスに連結する水域生態系モニタリングシステムの開発, 2016, 2018, 小川 健太 Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Senario to withdraw from Satoyama forest and plantation based on the risk assessment of abandonment, 20120401, 20170331, MORIMOTO Junko, We conducted the research for 1) Elucidating the actual situation of risks caused by abandonment of satoyama forests and artificial forests, 2) modeling risks and extracting high-risk areas, and 3) drawing a scenario of withdrawal from satoyama forest and artificial forest. As a result, 1) the windthow risk in artificial forests rises more greatly in places with high risk even in natural forests, 2) big male bear with large body sizes appear on low popularity agricultural land adjacent to the forest and use corn. 3) as a means to reduce both risks of artificial forests and satoyama forests, there is the conversion of artificial forests into mixed forest. Conversion of the old stands into mixed forests which is located on the protrusions on the slope is the most effective for reducing windthrow risks. We proposed other management methods for effective risk mitigation. 公益財団法人北海道農業公社, 受託研究, GIS、リモートセンシング（以下R/S)、ICTを用いた農用地開発整備業務の効率化手法の開発, 2016, 2017, 金子 正美 経済産業省, 次世代地球観測衛星利用基盤技術の研究開発, ハイパースペクトルセンサ・データの高度利用等に係る研究開発(再委託), 2015, 2017, 小川 健太 Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Risk assessment of conflicts between human and wild animals toward the reconstruction of Satoyama region, 2009, 2011, MORIMOTO Junko; OGAWA Kenta, After analyzing spatial features that conflicts between human and Ursus actors, it was found that differences on the land cover and land use in a landscape triggers the differences on the spatial features that conflicts occurs. Validation analyses on existing control policies of agricultural damage by Cervus nippon yesoensis revealed that today's level of capturing does not have advantageous effects, and deer fence that protect over 25% of agricultural lands have effects for the first time.
社会貢献活動情報
Social Contribution
2022 11 03 , 鳥類研究のための空飛ぶドローン講座, 日本鳥学会, 日本鳥学会2022年度大会# 2021 08 10 - 2021 12 16 , 由仁町スマート農業加速化研究会, 由仁町スマート農業加速化事業 受託者 株式会社チュプチニカ, 由仁町スマート農業加速化研究会# 2020 01 28 , ドローンや衛星画像技術の農業分野での利活用について, 本別町営農指導対策協議会, 本別町農業塾# 2019 11 11 , ドローンや衛星画像技術の農業分野での利活用について, 青森県上北地域県民局 地域農林水産部農業普及振興室, 青森県「現場ニーズ対応企画研修（スマート農業の普及）」# 2018 11 08 - 2018 11 09 , ビジネスEXPO「ＡＩ／ＩｏＴ等先端技術に 関する道内大学の取組事例」, ノーステック財団, 32nd 北海道最大級のビジネスイベント ビジネスEXPO#
教員総覧
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Last Update :2025/04/13
Researcher Profile and Settings
Name
| OGAWA Kenta |
Affiliation (Master)
| College of Agriculture,Food and Environment Sciences, Department of Environmental and Symbiotic Science |
Association Memberships
| 公益社団法人 日本測量協会 |
| JAPAN SOCIETY OF PHOTOGRAMMETRY AND REMOTE SENSING |
| THE REMOTE SENSING SOCIETY OF JAPAN |
| 日本草地学会 |
| 日本写真測量学会北海道支部 |
| 特定非営利活動法人 Digital北海道研究会 |
Research Activities
Research Areas
| Environmental science/Agricultural science, Agricultural environmental and information engineering |
Research Interests
| UAV, |
| Remote Sensing, |
| リモートセンシングによる地球観測, |
| deep learning, |
Published Papers
| Seasonal Dynamics of the Land-Surface Characteristics in Arid Regions Retrieved by Optical and Microwave Satellite Data, Ying Tian; Kurt Ackermann; Christopher McCarthy; Troy Sternberg; Myagmartseren Purevtseren; Che Limuge; Katsuro Hagiwara; Kenta Ogawa; Satoru Hobara; Buho Hoshino, Remote Sensing, MDPI AG, 16, (17) 3143 - 3143, 2024 08 26 |
| Automated Counting of Waterfowl on Water Surface Using UAV Imagery, Kenta OGAWA; Katsumi USHIYAMA; Fumiya KONERI, The Remote Sensing Society of Japan, 42 巻, (Supplement 号) S1 - S8, 2022 03 |
| Automated Counting Wild Birds on UAV Image Using Deep Learning, Kenta Ogawa; Yuting Lin; Hiroshi Takeda; Kanji Hashimoto; Yukiko Konno; Kaori Mori, Proceedings of International Geoscience and Remote Sensing Symposium, No. 1995, 2021, 2021 07 |
| UAV空撮画像を用いたIδ指数による放牧草地の養分分布における不均一性の評価, 三枝俊哉; 奥井達也; 塚崎顕太郎; 八木隆徳; 小玉哲大; 小川健太, 酪農学園大学紀要別刷, 2021 03 |
| UAV空撮画像を用いたトウモロコシ圃場における植被率系時変化の推定, 小川健太; 義平大樹; 三枝俊哉; 金子正美; 鎌形哲稔, 酪農学園大学紀要別刷, 第45, (1) , 2021 03 |
| Automated Counting of Waterfowl on Water Surface Using UAV Imagery, 小川健太、牛山克巳、小練文弥, Journal of The Remote Sensing Society of Japan, Vol.39, (No.5) 363 - 370, 2019 11 |
| Comparison of vulnerability to catastrophic wind between Abies plantation forests and natural mixed forests in northern Japan, Junko Morimoto; Kosuke Nakagawa; Kohei T. Takano; Masahiro Aiba; Michio Oguro; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Rui Ito; Tetsuya Takemi; Futoshi Nakamura; Chris J. Peterson, Forestry an International Journal of Forest Research, 1 - 8, 2019 02 |
| UAV画像による水鳥の自動検出の試み（SEMI-AUTOMATED COUNTING OF ROOSTING WATERFOWL USING UAV IMAGERY）, 小川健太; 松田亜希子; 鈴木透; 丸山樹; 三品未和; 藤若燈, 一社)日本リモートセンシング学会第63回（平成29年度秋季）学術講演会論文集, 7 - 8, 2017 11 |
| INITIAL TRIALS TO SEMI-AUTOMATED COUNTING WILD BIRDS ON WATER SURFACE USING UAV, Kenta OGAWA; Yutaka KAIZU; Hiroyuki YAMADA; Toru SUZUKI; Tetsuo SHIMADA; Katsumi USHIYAMA; Kazuo KOYAMA, The International Symposium on Remote Sensing (ISRS) 2017, 903 - 906, 2017 05 |
| Observation planning algorithm of a Japanese space-borne sensor: Hyperspectral Imager SUIte (HISUI) onboard International Space Station (ISS) as platform, Kenta Ogawa; Yukiko Konno; Satoru Yamamoto; Tsuneo Matsunaga; Tetsushi Tachikawa; Mako Komoda, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XXI, SPIE-INT SOC OPTICAL ENGINEERING, 10423, 2017 |
| Habitat use of Sika deer in swamp forests in Kushiro marsh, Hino Takafumi; Yoshida Ryouto; Igarashi Mamaru; Satou Atuski; Murai Takunari; Tachiki Yasuyuki; Akamatsu Rika; Hashimoto Kanji; Ogawa Kenta; Kaneko Masami; Yoshida Tsuyoshi, The Japanese Forest Society Congress, THE JAPANESE FORESTRY SOCIETY, 127, 748 - 748, 2016 03 |
| 管理来歴が育成牛放牧草地における養分分布の不均一性におよぼす影響, 三枝俊哉; 塚崎顕太郎; 加藤祐太; 熊谷宇; 小川健太; 八木隆徳, 日本草地学会石川大会, 2016 03 |
| 北海道における森林の風倒評価:2004年台風18号による影響, 中川考介; 森本淳子; 古川泰人; 髙野(竹中; 宏平; 饗庭正寛; 小黒芳生; 三島啓雄; 小川健太; 伊東瑠衣; 竹見哲也, 台風研究会「複合系台風災害のメカニズムに関する研究集会」, 24 - 28, 2016 03 |
| 北海道における森林の風倒予測：2004 年18 号台風の21 世紀末擬似温暖化実験, 髙野(竹中)宏平; 饗庭正寛; 小黒芳生; 中川孝介; 森本淳子; 古川泰人; 三島啓雄; 小川健太; 伊東瑠衣; 竹見哲也, 台風研究会「複合系台風災害のメカニズムに関する研究集会」, 29 - 32, 2016 03 |
| Effects of twin row cultivation on yield in Maize for grain and the factor of grain yield increase on the basis of growth analysis, Song Liang; Yoshihira Taiki; Satou Chihiro; Ogawa Kenta, Abstracts of Meeting of the CSSJ, CROP SCIENCE SOCIETY OF JAPAN, 241, 50 - 50, 2016 |
| 千鳥播、狭畦、狭畦千鳥栽培が子実用トウモロコシの収量に及ぼす影響, 宋粮; 義平大樹; 一関悠太; 佐藤智宏; 小川健太; 渡邊悠, 草地学会, 62, (別) , 2016 |
| 千鳥播、狭畦栽培が子実用トウモロコシの収量に及ぼす影響―長沼町における機械播種による実規模試験―, 義平大樹; 宋粮; 土屋恭平; 佐藤智宏; 小川健太; 柳原孝二; 照井英樹, 草地学会, 62, (別) , 2016 |
| Projection of impacts of climate change on windthrows and evaluation of potential adaptation measures in forest management: A case study from empirical modelling of windthrows in Hokkaido, Japan, by Typhoon Songda (2004), Kohei T. Takano; Kosuke Nakagawa; Masahiro Aiba; Michio Oguro; Junko Morimoto; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Rui Ito; Tetsuya Takemi, Hydrological Research Letters, 10, (4) 132 - 138, 2016 |
| CASE STUDIES FOR OBSERVATION PLANNING ALGORITHM OF A JAPANESE SPACEBORNE SENSOR: HYPERSPECTRAL IMAGER SUITE (HISUI), Kenta Ogawa; Yukiko Konno; Satoru Yamamoto; Tsuneo Matsunaga; Tetsushi Tachikawa; Mako Komoda; Osamu Kashimura; Shuichi Rokugawa, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XX, SPIE-INT SOC OPTICAL ENGINEERING, 10000, 2016 |
| Effects of twin row cultivation on yield on Maize for grain : Effects of planting density on yield increase, Sugawara H; Yoshihira T; Satou C; Yoshimura N; Mori T; Ogawa K, Report of the Hokkaido Branch, the Japanese Society of Breeding and Hokkaido Branch, the Crop Science Society of Japan, The Crop Science Society of Japan, (55) 35 - 36, 2014 12 |
| EFFECTIVE OBSERVATION PLANNING AND ITS SIMULATION OF A JAPANESE SPACEBORNE SENSOR: HYPERSPECTRAL IMAGER SUITE (HISUI), Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, 2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 1979 - 1982, 2014 |
| Modeling and inversion in thermal infrared remote sensing over vegetated land surfaces, Frederic Jacob; Thomas Schmugge; Albert Olioso; Andrew French; Dominique Courault; Kenta Ogawa; Francois Petitcolin; Ghani Chehbouni; Ana Pinheiro; Jeffrey Privette, ADVANCES IN LAND REMOTE SENSING: SYSTEM, MODELING, INVERSION AND APPLICATION, SPRINGER, 245 - +, 2008 |
| Mapping Surface Broadband Emissivity of the Sahara Desert Using ASTER and MODIS Data, Kenta Ogawa, EARTH INTERACTIONS, AMER METEOROLOGICAL SOC, 8, 2004 |
| A sensitivity study of climate and energy balance simulations with use of satellite-derived emissivity data over Northern Africa and the Arabian Peninsula, L Zhou; RE Dickinson; Y Tian; M Jin; K Ogawa; H Yu; T Schmugge, JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, AMER GEOPHYSICAL UNION, 108, (D24) , 2003 12 |
Books etc
| 物理探査ハンドブック 第三版, 公益社団法人物理探査学会, 6.2 光学センサデータ処理, 公益社団法人物理探査学会, 2024 07 , 9784938493196 |
| 宮島沼LOVE！, 宮島沼水鳥; 湿地センター編著, 第2章宮島沼と鳥たち、水鳥をドローンで数えよう, 北海道新聞社, 2024 07 , 9784867211366 |
Conference Activities & Talks
| 空から地球や地域を見てみよう, 小川健太, 市立札幌啓北商業高等学校（酪農学園大学出張セミナー） |
| How Many Seals in this Area? Count with Drone and Deep Learning, Kenta Ogawa; Yukiko Konno; Fumie Kumagai, ESRI User Conference Map Gallery |
| 北海道襟裳岬におけるドローン空撮画像を用いた ゼニガタアザラシの自動カウント実用化に向けて, 小川健太, 日本写真測量学会 令和６年度年次学術講演会 |
| UAVを用いた宮城県伊豆沼・内沼の水鳥（マガン）の個体数カウント, 米山和希; 小川健太, 第21回GISコミュニティフォーラム |
| 動物モニタリングのおけるドローン利活用の事例紹介, 小川健太, 大動物臨床研究会特別セミナー |
| 襟裳岬に生息するゼニガタアザラシのUAV空撮画像を用いた深層学習による個体数自動カウントと飛行計画の最適化, 岡村 航平; 小川 健太, 日本写真測量学会北海道支部令和5年度 第42回学術講演会 |
| UAVを用いた冬季てん菜貯蔵施設における温度モニタリング精度の向上について, 伊藤 颯馬; 小川 健太, 日本写真測量学会北海道支部令和5年度 第42回学術講演会 |
| UAV空撮による水鳥カウント精度向上のためのカメラの設定と比較に関する研究, 飯嶌 陽斗; 小川 健太; 野沢 麦; 米山 和希, 日本写真測量学会北海道支部令和5年度 第42回学術講演会 |
| ドローンや衛星画像〜空からの情報をどのように活かすか, 小川健太, 札幌大通倫理法人会モーニングセミナー |
| ドローンや衛星画像を使って、空から地球を理解しよう, 小川健太, 市立札幌開成中等教育学校、先端科学特論 |
| ドローンや衛星画像を使って、空から見る江別、北海道、世界, 小川健太, 酪農学園大学市民公開講座 |
| Deep Learningを用いたドローン空撮画像上の物体検出・カウント, 小川健太, GIS Day in 北海道2023 |
| ドローン空撮画像を用いた野生生物の検出・カウントについて, 小川健太, 動物の行動と管理学会2023年度大会公開シンポジウム |
| Seals123: Automated Counts of Seals on UAV Image Using Deep Leaning, Kenta Ogawa; Yukiko Konno; Rakuno; Gakuen University; Shingo Yamashita; Fumie Kumagai, ESRI User Conference |
| Goose123: Automated Counts of Goose on UAV Image Using Deep Leaning, Kenta Ogawa; Yukiko Konno, ESRI User Conference |
| UAVの農業・環境分野での利用について, 小川健太, DPA認定校フォーラム2023 |
| 北海道襟裳岬におけるドローン空撮画像を用いた ゼニガタアザラシの自動カウントに関する初期的結果について, 小川健太; 紺野裕紀子; 堀江晶大; 上出真輝; 岡村航平; 林 雨亭; 山下慎吾; 熊谷文絵, 日本写真測量学会令和5年度年次学術講演会 |
| 襟裳岬における UAV 空撮画像を用いたゼニガタアザラシの自動カウント, 堀江晶大; 上出真輝; 紺野裕紀子; 小川健太, 日本写真測量学会北海道支部第41回学術講演会 |
| ドローンの画像解析とディープラーニングの組み合わせの応用の紹介と本技術を活用した社会課題の解決について, 小川健太, SEA Forum Hokkaido |
| 鳥類研究のための空飛ぶドローン講座, 小川健太, 日本鳥学会2022年度大会 |
| Automated Counting of Goose from UAV Image Using Deep Leaning, Kenta Ogawa; Yukiko Konno; Kaori Mori, ESRI User Conference |
| UAV空撮画像を用いたマガンの個体群密度推定及び個体数推定, 野村隼平; 根本なぎさ; 小川健太, 日本写真測量学会北海道支部令和3年度 第40回学術講演会 |
| UAVを用いた水鳥（マガン）の撮影と機械学習＆Deep Learningを用いた自動カウント, 小川 健太, 北海道ドローン協会会員限定ドローンセミナー |
| Automated Counting Wild Birds on UAV Image Using Deep Learning, Kenta Ogawa; Yuting Lin; Hiroshi Takeda; Kanji Hashimoto; Yukiko Konno; Kaori Mori, International Geoscience and Remote Sensing Symposium |
| 論文「UAV画像を用いた水面の水鳥の自動カウント」の紹介およびその後について, 小川 健太, 「リモセン虎の穴」 |
| 最近のドローンを使った活動紹介等, 小川 健太, 第4回北海道ドローン協会・会員交流会、情報交換会 |
| ドローン画像を⽤いた機械学習によるマガンの⾃動カウント, 小川健太; 酪農学園大学環境空間情報学研究室学生一同; 宮島沼水鳥; 湿地センター牛山克, 北海道湿地フォーラム2020「シッチスイッチ」 |
| 災害対応に向けた衛星・ドローン・GIS活用について～状況認識の共有にむけて～, 小川 健太, 大規模災害に耐えうる災害支援システムに関するオンライン・セミナー |
| ドローンや衛星画像技術の農業分野での利活用について, 小川 健太, JA新しのつ・新篠津村ICT農業研究会「ドローン学習会」 |
| Automated Counting of Goose from UAV Image Using Machine Leaning, Kenta Ogawa; Yukiko Konno, ESRI User Conference |
| UAVと圃場データベースの活用による牧草の乾物収穫量予測, 三枝俊哉; 小川健太; 森公象; 小玉哲大, 日本草地学会全国大会静岡大会 |
| UAV画像から作成した3次元モデルによる牧草地の草量推定, 小川健太; 三枝俊哉; 森公象; 小玉哲大, 日本草地学会全国大会静岡大会 |
| 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性の向上, 小川健太、梅津尚幸, 消防庁特殊災害室林野火災対策説明会 |
| 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性の向上, 小川健太、梅津尚幸, 消防庁特殊災害室林野火災対策説明会 |
| ドローンや衛星画像技術の農業分野での利活用について, 小川健太, 青森県「現場ニーズ対応企画研修（スマート農業の普及）」 |
| UAVを用いた水鳥の撮影と機械学習を用いた自動カウント, 小川健太、大川文也, 日本写真測量学会令和元年度秋季学術講演会 |
| ドローンを用いたセンシングに基づく圃場管理支援, 小川健太, 第4回スマート農業セミナー |
| 戦略的イノベーション創造プログラム（SIP）における被災状況把握技術開発について, 六川修一、中村貴子、小川健太、鈴木誠, 公益社団法人物理探査学会第141回学術講演会 |
| 戦略的イノベーション創造プログラム（SIP）における被災状況把握技術の検証例について, 中村貴子、六川修一、小川健太、鈴木誠, 公益社団法人物理探査学会第141回学術講演会 |
| ドローン画像＆機械学習による水鳥の自動カウント～北海道美唄市宮島沼にて, 小川健太、牛山克己, 日本鳥学会津戸シンポジウム「新技術をもちいた鳥類モニタリングと生態系管理」 |
| 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上～状況認識の共有を目指して, 金子正美、小川健太、鈴木透、小野貴司、森本淳子、梅林利弘、森洋久, 危機管理産業展2019 |
| 平成30年北海道胆振東部地震におけるEMT活動について, 小野貴司、金子正美、小川健太, 日本写真測量学会北海道支部春季特別講演会 |
| ドローン画像＆機械学習による水鳥の自動カウント～北海道美唄市宮島沼にて, 小川健太、環境空間情報学研究室一同、牛山克己, 第15回GISコミュニティフォーラムマップギャラリー |
| 農業ビックデータの伝送に最適な無線システム, 小川健太, 北海道農業ICT/Iot懇談会成果発表セミナー |
| 人工林の風倒リスク推定に基づく森林計画─現在気候下での風倒モデリング─, 森本淳子; 高野宏平; 中川考介; Flavio Furukawa; 饗庭正寛; 小黒芳生; 吉村暢彦; 古川泰人; 三島啓雄; 小川健太; 伊東 瑠衣; Sridhara Nayak; 佐々井崇博; 竹見哲也; 柴田英昭, 第130回日本森林学会大会 |
| 機械学習を用いたUAV画像からのマガン係数精度の向上, 小練文弥; 小川健太; 牛山克己, 日本写真測量学会北海道支部第37回学術講演会 |
| ドローンを用いた空中からの生物相モニタリング（「フィールド調査とロボット・センサ・通信技術をシームレスに連結する水域生態系モニタリングシステムの開発」サブテーマ2）, 小川健太; 鈴木透; 小練史弥, 第13回伊豆沼・内沼研究集会 |
| 林野火災におけるドローンおよびGIS活用について～状況認識の共有に向け, 小川健太, 消防庁特殊災害室林野火災対策説明会 |
| 林野火災におけるドローンおよびGIS活用について～状況認識の共有に向けて, 小川 健太, 林野火災対策説明会 |
| スマート酪農の展開～ドローンや衛星画像技術の農地管理へ利活用について, 小川 健太, 第55回酪農公開講座 |
| ドローンによる野鳥のカウント, 小川 健太, 宮島沼カントリーフェス2018 |
| Semi-automated counting wild birds on water surface using UAV:An application of machine learning, Kenta Ogawa, 2018 International Conference on Unmanned Aerial Vehicles in Environment |
| ドローンの各種分野での利活用について～酪農学園大学での取り組みを中心に, 小川 健太, 北方海域技術研究委員会「平成30年度講演会」 |
| 台風に伴う風倒かく乱後の倒木搬出が山火事発生リスクに与える影響, 梅林 利弘; 森本 淳子; 鈴木透; 小野貴司; 小川 健太, 日本生態学会大会 |
| 薄暗い条件でのドローン撮影：マガン検知に必要な露出時間とISO感度は？, 松田亜希子; 鈴木透; 小川健太, 日本生態学会大会 |
| 農業・環境・防災分野でのUAVの利活用に関する研究活動, 小川 健太, 日本リモートセンシング学会第63回（平成29年度秋季）学術講演会、特別講演 |
| ドローンの農業、環境、防災分野の利活用について, 小川 健太, 野波健蔵氏特別講演会 |
| ドローンを用いた水鳥のモニタリング手法の検討, 松田亜希子; 鈴木透; 小川健太, 日本鳥学会2017年度大会、自由集会「ロボットやネットワークカメラ、ドローンを活用した湿地生態系の監視・管理システムの構築」 |
| 水鳥モニタリングにおけるドローンの利用可能性, 鈴木透; 松田亜希子; 小川健太, ELR2017名古屋・ICLEE8、日本緑化工学会、日本景観生態学会、応用生態工学会、研究集会 |
| 育成牛放牧草地の養分分布における不均一性の指標-Iδ指数の有効性-, 奥井達也; 山下慈一; 宇垣亮佑; 塚崎顕太郎; 加藤祐太; 熊谷宇; 小川健太; 八木隆徳; 三枝俊哉, 日本土壌肥料学会2017年度仙台大会 |
| 農業分野を中心としたUAV（ドローン）の活用について, 小川 健太, ホクレン清水製糖工場区域視察研修 |
| ドローンを用いた空中からの生物相モニタリング, 鈴木 透; 小川健太, 第11回伊豆沼・内沼研究集会 |
| 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上～現場で必要とされる情報について～, 小野貴史; 金子正美; 小川健太, 日本写真測量学会北海道支部大5回学術講演会 |
| 農業・環境分野等におけるUAVの活用状況, 小川 健太, 国土地理院北海道地方測量部第14回北海道測量技術講演会 |
| UAVの環境・農業分野への活用と撮影画像解析の今後, 小川 健太, 一般社団法人日本環境アセスメント協会平成28年度第1回技術セミナー |
| 管理来歴が育成牛放牧草地における養分分布の不均一性におよぼす影響, 三枝俊哉; 塚崎顕太郎; 加藤祐太; 熊谷宇; 小川健太; 八木隆徳, 日本草地学会石川大会 |
| 釧路湿原におけるエゾシカよる湿地林の生息地利用, 日野 貴文; 吉田 遼人; 五十嵐 守; 佐藤 温貴; 村井 拓成; 立木 靖之; 赤松 里香; 橋本 寛治; 小川 健太; 金子 正美; 吉田 剛司, 日本森林学会第127回大会 |
| 台風被害前後の空中写真から作成したDSMの差分による森林風倒地の推定, 玉利直樹; 小川健太; 森本淳子; 中川考介; 三島啓雄, 日本写真測量学会北海道支部第34回学術講演会 |
| UAV空撮画像を用いたトウモロコシ圃場における植被率の系時変化の推定, 渡邊悠; フラビオ古川; 小川健太; 吉村暢彦; 義平大樹; 片山雄太, 日本写真測量学会北海道支部第34回学術講演会 |
| Case studies for observation planning algorithm of a Japanese spaceborne sensor: Hyperspectral Imager Suite (HISUI), Kenta Ogawa; Yukiko Konno; Satoru Yamamoto; Tsuneo Matsunaga; Tetsushi Tachikawa; Mako Komoda; Osamu Kashimura; Shuichi Rokugawa, SPIE The International Society for Optical Engineering 2016 |
| Effective observation planning and its simulation of a Japanese spaceborne sensor: Hyperspectral imager suite (HISUI), Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, International Geoscience and Remote Sensing Symposium (IGARSS), © 2014 IEEE.Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2017 or later. In HISUI project, observation strategy is important especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Using observation coverage simulation program and we estimate progress of observation coverage of image with days after launch. We found that HISUI can make 4 times repeated observations for protected area (20 million km2 in the world). And about 70 % of land surface can be observed over 5 years. We also found that the developed rules to avoid cloudy are will improve the area coverage up to 2.4 %. |
Misc
| 酪農畜産におけるドローンの現状と展望～動物モニタリングにおけるドローン利活用の事例紹介, 小川健太, 大動物臨床研究会特別セミナー, 2024 05 |
| 北海道襟裳岬におけるドローン空撮画像を用いたゼニガタアザラシの自動カウント実用化に向けて, 小川健太; 紺野裕紀子; 岡村航平; 林 雨亭, 日本写真測量学会令和6年度年次学術講演会, 2024 05 |
| 襟裳岬に生息するゼニガタアザラシのUAV 空撮画像を用いた深層学習による個体数自動カウントと飛行計画の最適化, 岡村 航平; 小川 健太, 日本写真測量学会北海道支部学術講演会, 2024 03 |
| UAVを用いた冬季てん菜貯蔵施設における温度モニタリング精度の向上について, 伊藤 颯馬; 小川 健太, 日本写真測量学会北海道支部学術講演会, 2024 03 |
| UAV空撮による水鳥カウント精度向上のためのカメラの設定と比較に関する研究, 飯嶌 陽斗; 小川 健太; 野沢 麦; 米山 和希, 日本写真測量学会北海道支部学術講演会, 2024 03 |
| ドローンや衛星画像 〜空からの情報をどのように活かすか, 小川健太, 札幌大通倫理法人会モーニングセミナー, 2024 01 |
| ドローン空撮画像を用いた野生生物の検出・カウントについて, 小川健太, 動物の行動と管理学会2023年度大会公開シンポジウム, 2023 09 |
| 北海道襟裳岬におけるドローン空撮画像を用いた ゼニガタアザラシの自動カウントに関する初期的結果について, 小川健太; 紺野裕紀子; 堀江晶大; 上出真輝; 岡村航平; 林 雨亭; 山下慎吾; 熊谷文絵, 日本写真測量学会令和5年度年次学術講演会, 2023 05 |
| 襟裳岬における UAV 空撮画像を用いたゼニガタアザラシの自動カウント, 堀江晶大; 上出真輝; 紺野裕紀子; 小川健太, 日本写真測量学会北海道支部令和4年度 第41回学術講演会, 2023 03 |
| 飛躍を遂げるドローン, 小川健太; 小野貴司; 小林伸行, ニューカントリー, 827, 2023 02 |
| UAV画像を用いた水面の水鳥の自動カウント, 小川健太; 牛山克巳; 小練史弥, THE JOURNAL OF SURCEY（月刊 測量）, 2022 03 |
| UAV空撮画像を用いたマガンの個体群密度推定及び個体数推定, 野村隼平; 根本なぎさ; 小川健太, 日本写真測量学会北海道支部令和3年度 第40回学術講演会, 2022 03 |
| 「画像解析を社会実装する」, 小川 健太, 月刊ISM2020年9号, (9) 38 - 39, 2020 09 |
| 官学一体の研究と実証がドローン実運用化を加速する, 小川健太、小野貴司, 自治体ドローン活用情報EDAC会報, Vol.4, 2020 03 |
| UAVと圃場データベースの活用による牧草の乾物収穫量予測, 三枝俊哉、小川健太、森公象、小玉哲大, 日本草地学会誌, 66, 2020 03 |
| UAV画像から作成した3次元モデルによる牧草地の草量推定, 小川健太、三枝俊哉、森公象、小玉哲大, 日本草地学会誌, 66, (別) 12 - 12, 2020 03 |
| ドローンや衛星画像技術の農業分野での利活用について, 小川健太, 農家の友, 第72巻, (第2号) 26 - 28, 2020 02 |
| ドローンの活用、衛星画像による生育診断、スマート農業について, 小川 健太, 本別町農業塾, 2020 01 |
| ドローンや衛星画像技術の農業分野での利活用について, 小川健太, 青森県「現場ニーズ対応企画研修（スマート農業の普及）」, 2019 11 |
| UAVを用いた水鳥の撮影と機械学習を用いた自動カウント, 小川 健太、大川 文也, 日本写真測量学会令和元年度秋季学術講演会, 2019 11 |
| ドローンを用いたセンシングに基づく圃場管理支援, 小川 健太, 第4回スマート農業セミナー, 2019 10 |
| ドローン画像＆機械学習による水鳥の自動カウント～北海道美唄市宮島沼にて, 小川 健太、; 牛山克己, 日本鳥学会津戸シンポジウム「新技術をもちいた鳥類モニタリングと生態系管理」要旨集, 2019 10 |
| 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上, 金子 正美; 小川 健太, 消防防災科学技術研究推進制度 平成30年度終了研究課題 成果報告会, 2019 07 |
| 平成30年北海道胆振東部地震におけるEMT活動について, 小野貴司、金子正美、小川健太, 日本写真測量学会北海道支部春季特別講演会, 2019 06 |
| ドローンを活用したガンカモ類調査ガイドライン, ガイドライン編集員会(小川健太、鈴木透、高橋祐亮、神山和夫、牛山克己、嶋田哲郎), ドローンを活用したガンカモ類調査ガイドライン, 2019 03 |
| 機械学習を用いたUAV画像からのマガン係数精度の向上, 小練文弥; 小川健太; 牛山克己, 日本写真測量学会北海道支部第37回学術講演会 講演予稿集, 2019 03 |
| 農業ビックデータの伝送に最適な無線システム, 小川 健太, 北海道農業ICT/Iot懇談会成果発表セミナー, 2019 03 |
| ドローンを用いた空中からの生物相モニタリング（「フィールド調査とロボット・センサ・通信技術をシームレスに連結する水域生態系モニタリングシステムの開発」サブテーマ2）, 小川健太; 鈴木透; 小練史弥, 第13回伊豆沼・内沼研究集会要旨集, 2019 02 |
| Forest planning based on the risk assessment of windthrow of plantation under the current climate, Morimoto Junko; Ogawa Kenta; Ito Rui; Sasai Takahiro; Takemi Tetsuya; Shibata Hideaki; Takano Kohei; Nakagawa Kosuke; Furukawa Flavio; Aiba Masahiro; Yoshimura Nobuhiko; Oguro Michio; Furukara Yasuto; Mishima Yoshio, The Japanese Forest Society Congress, 130, (0) 697 - 697, 2019 , 10.11519/jfsc.130.0_697, [in Japanese] |
| スマート酪農の展開～ドローンや衛星画像技術の農地管理への利活用について, 小川 健太, 北海道命名150記念・第55回酪農公開講座「北海道酪農の歴史と未来」, 2018 10 |
| Comparison of susceptibility of artificial forests and natural forests to strong winds in Hokkaido, Junko Morimoto; Kosuke Nakagawa; Kohei T. Takano; Masahiro Aiba; Michio Oguro; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Rui Ito; Tetsuya Takemi, 8th International Conference on Wind and Trees, National Center for Atmospheric Research, Boulder, CO, USA, 17 July - 20 July 2017., 2017 07 |
| ドローンの農業利用の可能性と実践例, 小川健太, 酪農ジャーナル, 69, (12月号) 26 - 28, 2016 12 |
| 空間計測技術を活用した作物の生育管理, 金子正美; 小川健太; 鎌形哲稔, 土木技術、特集「土木と食」, 71, (10) 52 - 57, 2016 10 |
| 農業分野へのマルチプラットフォームセンシングの適用, 鎌形哲稔; 前田桂子; 福島あゆみ; 小川健太, 農業農村工学会誌「水土の知」小特集「圃場モニタリングのためのリモートセンシング技術の最前線-4」, 84, 2016 09 |
| Case Study of High-temporal Monitoring of Green Coverage in a Dent Corn Field Using a Drone, 吉村暢彦; 古川フラビオ; 渡辺悠; 宋粮; 大原譽丈; 小川健太; 義平大樹, 農業農村工学会誌「水土の知」小特集「圃場モニタリングのためのリモートセンシング技術の最前線-7」, 84, (9) 773 - 776, 2016 09 |
| Designing and implementing a technical training course on forest remote sensing to promote REDD+ A case study at Rakuno Gakuen University, YOSHIMURA Nobuhiko; Hino TAKAFUMI; KANEKO Masami; HOSHINO Buho; OGAWA Kenta, Journal of the College of Dairying. Natural science, 40, (1) 35 - 45, 2015 10 |
| Developing windthrow risk model for plantation management strategy under climate change, Kosuke Nakagawa; Junko Morimoto; Yasuto Furukawa; Yoshio Mishima; Kenta Ogawa; Tetsuya Takemi; Kohei Takano; Masahiro Aiba; Michio Oguro, The 9th International Association of Landscape Ecology World Congress, Hilton Portland & Executive Tower, Portland, Oregon, 5-10 July 2015, 2015 07 |
| 気候変動下における人工林の最適配置へ向けた風倒リスク評価モデルの構築, 中川考介; 森本淳子; 三島啓雄; 小川健太; 竹見哲也, 日本生態学会大会講演要旨(Web), 62nd, 2015 |
| 強風かく乱に対する人工林のレジリエンス―天然林との比較―, 森本淳子; 大竹口久美子; 三島啓雄; 古川泰人; 小川健太, 日本生態学会大会講演要旨(Web), 61st, 2014 |
| 人工林化に伴う風倒撹乱への影響の解明―天然林との比較研究, 中川考介; 森本淳子; 三島啓雄; 古川泰人; 小川健太, 日本生態学会大会講演要旨(Web), 61st, 2014 |
| Fire risk assessment in a secondary forest with a floor dominated by ferns in the dry granite region of Japan, MORIMOTO Junko; HAMAMOTO Nao; KOMINAMI Ryo; MISHIMA Yoshio; OGAWA Kenta, The Japanese Association of The Revegetaion Technology, 40, (1) 120 - 123, 2014 , 10.7211/jjsrt.40.120, The cause of fire ignition and spread, the surface fuel load on the forest floor, should be evaluated for forest fire risk assessment. Fire risk assessment was conducted via unit and total surface fuel in a forest dominated by Dicranopteris linearis in secondary forests in a dry and warm climate region in Japan. Forests with no fire history were ranked with the highest risk of fire via the assessment of unit and total surface fuel. However, the risk assessment results of forests with fire history were completely different. The risk by unit of surface fuel increased across forest age, but the risk by total surface fuel was higher in younger forests that had regenerated after recent fire due to their larger areas. The importance of landscape structure on fire risk assessment was suggested. |
| Observation Planning Algorithm of a Japanese Spaceborne Sensor: Hyperspectral Imager Suite (HISUI), Kenta Ogawa; Kayo Nishiwaki; Yukiko Konno; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Jun Tanii, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XVIII, 9241, 2014 , 10.1117/12.2066810, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2017 or later. In HISUI project, observation strategy is important especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. We have developed concept of multiple algorithms approach. The concept is to use two (or more) algorithm models (Long Strip Model and Score Downfall Model) to select observing scenes from complex data acquisition requests with satisfactory of sensor constrains. We have tested the algorithm, and found that the performance of two models depends on remaining data acquisitions, i.e. distribution score along with orbit. We conclude that the multiple algorithms approach will be make better collection plans for HISUI comparing with single fixed approach. |
| OBSERVATION PLANNING AND ITS COVERAGE SIMULATION OF A JAPANESE SPACEBORNE SENSOR: HYPERSPECTRAL IMAGER SUITE (HISUI), Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, 2013 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2013 , 10.1109/IGARSS.2013.6723813, As mentioned above, the simulation program is useful to investigate observation-planning strategy and rules for improving efficiency of observations. © 2013 IEEE. |
| A study on Cooperation of Gathering and Sharing the Disaster Information Using Map Information : An Validation of Methods of Gathering Disaster Information and Formulation of the EMT in Ebetsu City, 目黒 茂樹; 小川 健太; 鄭 炳表, 消防研究所報告, (112) 1 - 12,図巻頭1p, 2012 03 |
| Observation Planning Strategy of a Japanese Spaceborne Sensor: Hyperspectral Imager Suite (HISUI), Kenta Ogawa; Makoto Takenaka; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL REMOTE SENSING TECHNOLOGY, TECHNIQUES AND APPLICATIONS IV, 8527, 2012 , 10.1117/12.977316, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument [1][2] being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI's operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team will make long-and short-term observation strategy of the sensor. OMP is important for HISUI especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Major factors of the limitations are the combinations of downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The achievements of global mapping or regional monitoring need to be simulated precisely before launch [3]. We have prepared daily global high resolution (30 second in latitude and longitude) climate data for the simulation. |
| USAGE OF CLOUD CLIMATE DATA IN OPERATION MISSON PLAN SIMULATION FOR JAPANESE FUTURE HYPERSPECTRAL AND MULTISPECTRAL SENOR: HISUI, Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, 2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012 , 10.1109/IGARSS.2012.6352335, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument [1][2] being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI's operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team will make long term and short term strategy of the observation and sensor operation plan. OMP is important for HISUI especially for hyperspectral sensor, and relationship between the limitations of sensor operation and the planned observation scenarios have to be studied. Major factors of the limitations are the combinations of downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The achievements of global mapping or repeated observations of specific site need to be simulated precisely before launch [3]. We have prepared daily global high resolution (30 second in latitude and longitude) climate data for the simulation. © 2012 IEEE. |
| Operation plan study for Japanese future hyperspectral mission: HISUI, T. Matsunaga; S. Yamamoto; O. Kashimura; T. Tachikawa; K. Ogawa; A. Iwasaki; S. Tsuchida; N. Ohgi, 34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring, 2011 12 01 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84879777852&origin=inward, Japanese future spaceborne hyperspectral mission, Hyperspectral Imager Suite (HISUI), will be launched in 2015 or later as one of mission instruments onboard JAXA's Advanced Land Observation Satellite 3 (ALOS-3). HISUI will consist of a hyperspectral imager and a multispectral imager with 30 m and 5 m spatial resolution and 30 km and 90 km swath, respectively. Although observation requests to HISUI from users in various application fields are expected to be so many, the instrument duty time and the allocation of downlink resources of ALOS-3 will limit actual observation of HISUI. Various plans of HISUI operation, which satisfy as much as possible within allocated resources, will be presented. |
| プロジェクト研究の紹介 酪農学園大学農業環境情報サービスセンターの設立と地域連携, 金子 正美; 小川 健太, グリーンテクノ情報, 7, (2) 34 - 38, 2011 10 |
| Operation Planning for Japanese Future Hyperspectral and Multispectral Senor: HISUI and Usage of Cloud Climate Data, Kenta Ogawa; Tsuneo Matsunaga; Satoru Yamamoto; Osamu Kashimura; Tetsushi Tachikawa; Akira Iwasaki; Satoshi Tsuchida; Jun Tanii; Shuichi Rokugawa, SENSORS, SYSTEMS, AND NEXT-GENERATION SATELLITES XV, 8176, 2011 , 10.1117/12.898590, Hyperspectral Imager Suite (HISUI) is a Japanese future spaceborne hyperspectral instrument being developed by Ministry of Economy, Trade, and Industry (METI) and will be launched in 2015 or later. HISUI's operation strategic study is described in this paper. In HISUI project, Operation Mission Planning (OMP) team has responsibility to make long term and short term strategy of the observation and sensor operation plan. The OMP is important for HISUI to archive both global mapping and monitoring of specific sites. Major factors of the HISUI operation limitations are downlink rate, observation time (15 minutes per orbit) and the swath of the sensor (30 km). The OMP plans to use detailed climate data generated from MODIS data for observation simulation. The workflow to deal cloud climate data is described in this paper. |
| Simulation of Operation of Future Japanese Spaceborne Hyperspectral Imager: HISUI, Tsuneo Matsunaga; Satoru Yamamoto; Soushi Kato; Osamu Kashimura; Tetsushi Tachikawa; Kenta Ogawa; Akira Iwasaki; Satoshi Tsuchida; Nagamitsu Ohgi; Shuichi Rokugawa, EARTH RESOURCES AND ENVIRONMENTAL REMOTE SENSING/GIS APPLICATIONS II, 8181, 2011 , 10.1117/12.898376, HISUI, a Japanese future spaceborne hyperspectral and multispectral imaging system, is currently being developed by Japanese Ministry of Economy, Trade, and Industry. Because of the narrow swath of the imager as well as the limits on the operation time and data downlink resource allocation, the operation strategy of HISUI should be examined thoroughly to fully utilize HISUI's earth observation capability. A software which simulates HISUI's operation is being developed for the detailed analysis of HISUI's long term operation plans. The simulation results indicate that 1) one-time priority area mapping will be completed within eight months with moderate data downlink allocation, 2) one-time global observation in a year will be possible if the allocated downlink capability is more than 250 GByte per day, 3) the nighttime volcano monitoring will not significantly affect the daytime observation if the cross track pointing only for nighttime observation is not allowed. |
| 「農業環境情報サービスセンター」の設立構想と役割--環境と共生した循環型農業の実現に向けて (特集 酪農学園大学の新しい農業普及事業), 金子 正美; 小川 健太, 酪農ジャ-ナル, 63, (1) 32 - 35, 2010 01 |
| Detecting land cover change at the Jornada Experimental Range, New Mexico with ASTER emissivities, A. N. French; T. J. Schmugge; J. C. Ritchie; A. Hsu; F. Jacob; K. Ogawa, REMOTE SENSING OF ENVIRONMENT, 112, (4) 1730 - 1748, 2008 04 , 10.1016/j.rse.2007.08.020, Multispectral thermal infrared remote sensing of surface emissivities can detect and monitor long term land vegetation cover changes over arid regions. The technique is based on the link between spectral emissivities within the 8.5-9.5 mu m interval and density of sparsely covered terrains. The link exists regardless of plant color, which means that it is often possible to distinguish bare soils from senescent and non-green vegetation. This capability is typically not feasible with vegetation indices. The method is demonstrated and verified using ASTER remote sensing observations between 2001 and 2003 over the Jornada Experimental Range, a semi-arid site in southern New Mexico, USA. A compilation of 27 nearly cloud-free, multispectral thermal infrared scenes revealed spatially coherent patterns of spectral emissivities decreasing at rates on the order of 3% per year with R-2 values of similar to 0.82. These patterns are interpreted as regions of decreased vegetation densities, a view supported by ground-based leaf area index transect data. The multi-year trend revealed by ASTER's 90-m resolution data are independently confirmed by 1-km data from Terra MODIS. Comparable NDVI images do not detect the long-term spatially coherent changes in vegetation. These results show that multispectral thermal infrared data, used in conjunction with visible and near infrared data, could be particularly valuable for monitoring land cover changes. (c) 2007 Elsevier Inc. All rights reserved. |
| Estimating broadband emissivity of arid regions and its seasonal variations using thermal infrared remote sensing, Kenta Ogawa; Thomas Schmugge; Shuici Rokugawa, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 46, (2) 334 - 343, 2008 02 , 10.1109/TGRS.2007.913213, Surface emissivity in the thermal infrared region is an important parameter for determining the surface radiation budget in climate, weather, and hydrological models. This paper focuses on estimating the spatial and temporal variations of the surface emissivities using thermal infrared remotely sensed data from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard NASA's Terra satellite. We developed a regression approach to use the ASTER and MODIS data for estimating the broadband emissivity (BBE; 8-13.5 mu m). The regressions were calibrated using a library of spectral emissivity data for terrestrial materials. We applied these regressions to ASTER and MODIS data to obtain emissivity maps for several and regions of the Earth. In the 8-9-mu m band for sparsely or nonvegetated desert areas, emissivity values between 0.66 and 0.96 have been observed, which are due to the low emissivity of quartz-rich sands at these wavelengths. As a result, the range of BBE is between 0.86 and 0.96. The seasonal variation over a two-year period and the dependence on land cover/soil type were also investigated. |
| Vegetation change detection using thermal band emissivities over Jornada, New Mexico, USA, Andrew N. French; Thomas J. Schmugge; Jerry C. Ritchie; Ann Hsu; Frederic Jacob; Kenta Ogawa, IAHS-AISH Publication, 2007 12 01 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=55749115454&origin=inward, Detecting land cover change over semi-arid rangeland is important for monitoring vegetation responses to drought, population expansion, and changing agricultural practices. Such change can be detected using vegetation indices, but these do not represent non-green vegetation and are dominated by seasonal changes. An alternative is to observe spatial changes in thermal emissivities, a measure that responds to soil surface composition and vegetation cover. Because soil emissivities are usually stable, temporal emissivity changes could be due to vegetation cover changes. Using ASTER thermal infrared observations, the technique is applied to observations over the Jornada Experimental Range in New Mexico between 2001 and 2003. The study showed spatially coherent regions where broadband emissivities decreased as much as 3%. These coherent regions may correspond to decreased vegetation densities, suggesting that the technique could be helpful for monitoring rangeland cover. Copyright © 2007 IAHS Press. |
| Satellite observations of the land surface emissivity in the 8-12 μm window: Effect of soil moisture, Thomas Schmugge; Kenta Ogawa; Patricia De Rosnay, IAHS-AISH Publication, 2007 12 01 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=55749086056&origin=inward, Monthly and 8-day composites of thermal infrared (TIR) surface emissivity data from the MODerate resolution Imaging Spectrometer (MODIS) sensor on NASA's Terra satellite were analysed for temporal variations over North Africa. It was found that the emissivity of the 8.55 um band (MODIS band 29) increased by about 0.1 each July/August in the southwestern Sahara (19°N, 3°W). To understand this increase, the emissivity variation was compared with the normalized difference vegetation index (NDVI) also derived from MODIS, with soil moisture estimates from the Advanced Microwave Scanning Radiometer (AMSR-E) microwave sensor on NASA's Aqua satellite and with ground measures of soil moisture. No correspondence was found with NDVI in this area. However, the TIR emissivity increase was found to be qualitatively correlated with an increase in the AMSR derived soil moisture. This increase in TIR emissivity with soil moisture is in agreement with the laboratory measurements. Copyright © 2007 IAHS Press. |
| Validation of Emissivity Estimates from ASTER and MODIS Data, Thomas Schmugge; Kenta Ogawa, 2006 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-8, 2006 , 10.1109/IGARSS.2006.71, Two distinctly different approaches are used to extract emissivity information from ASTER and MODIS data. ASTER uses an intuitive empirical relationship between the range of emissivities in the 5 ASTER bands and their minimum value. With its greater swath MODIS is able to uses the day / night pair of observations to obtain the emissivities. The combination of the two approaches should provide robust estimation of the land surface emissivity. |
| Estimating thermal infrared broadband emissivity of arid region using remote sensing, K Ogawa; T Schmugge; S Rokugawa, MULTISPECTRAL AND HYPERSPECTRAL REMOTE SENSING INSTRUMENTS AND APPLICATIONS II, 5655, 2005 , 10.1117/12.583186, Surface emissivity in the thermal infrared region is an important parameter for the studies of energy budget and surface energy balance. This paper focuses on estimating broadband emissivity using two sensors on NASA's Earth Observing System (EOS) Terra satellite, Advanced Spaceborne Thermal Emission and reflection Radiometer (ASTER) and MODerate resolution Imaging Spectrometer (MODIS). We developed a regression approach to generate infrared broadband emissivity maps from ASTER or MODIS data. The regressions are to relate the broadband emissivity to the emissivities for the ASTER or MODIS channels. The both regressions were calibrated using libraries of spectral emissivities. We applied this approach for ASTER and MODIS data acquired over the North Africa and Australia. The range of the broadband emissivity was found to be between 0.86 and 0.96 for the desert area. The root mean difference between the emissivities from these two sensors is smaller than 0.015. Such emissivity map could be used as an input of climate model and could contribute for improving the simulated surface and air temperature up to 1.1 and 0.8 degrees C respectively. The method can be applied to any and regions of the world. |
| Comparison of land surface emissivity and radiometric temperature derived from MODIS and ASTER sensors, F Jacob; F Petitcolin; T Schmugge; E Vermote; A French; K Ogawa, REMOTE SENSING OF ENVIRONMENT, 90, (2) 137 - 152, 2004 03 , 10.1016/j.rse.2003.11.015, This study compared surface emissivity and radiometric temperature retrievals derived from data collected with the MODerate resolution Imaging Spectroradiometer (MODIS) and Advanced Spaceborne Thermal Emission Reflection Radiometer (ASTER) sensors, onboard the NASA's Earth Observation System (EOS)-TERRA satellite. Two study sites were selected: a semi-arid area located in northern Chihuahuan desert, USA, and a Savannah landscape located in central Africa. Atmospheric corrections were performed using the MODTRAN 4 atmospheric radiative transfer code along with atmospheric profiles generated by the National Center for Environmental Predictions (NCEP). Atmospheric radiative properties were derived from MODTRAN 4 calculations according to the sensor swaths, which yielded different strategies from one sensor to the other. The MODIS estimates were then computed using a designed Temperature-Independent Spectral Indices of Emissivity (TISIE) method. The ASTER estimates were derived using the Temperature Emissivity Separation (TES) algorithm. The MODIS and ASTER radiometric temperature retrievals were in good agreement when the atmospheric corrections were similar, with differences lower than 0.9 K. The emissivity estimates were compared for MODIS/ASTER matching bands at 8.5 and 11 mum. It was shown that the retrievals agreed well, with RMSD ranging from 0.005 to 0.015, and biases ranging from -0.01 to 0.005. At 8.5 mum, the ranges of emissivities from both sensors were very similar. At 11 mum, however, the ranges of MODIS values were broader than those of the ASTER estimates. The larger MODIS values were ascribed to the gray body problem of the TES algorithm, whereas the lower MODIS values were not consistent with field references. Finally, we assessed the combined effects of spatial variability and sensor resolution. It was shown that for the study areas we considered, these effects were not critical. (C) 2004 Elsevier Inc. All rights reserved. |
| A sensitivity study of climate and energy balance simulations with use of satellite-derived emissivity data over Northern Africa and the Arabian Peninsula, L. Zhou; R. E. Dickinson; Y. Tian; M. Jin; K. Ogawa; H. Yu; T. Schmugge, Journal of Geophysical Research D: Atmospheres, 108, 2003 12 27 , https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=1642317905&origin=inward, This paper analyzes the sensitivity of simulated climate and energy balance to changes in soil emissivity over Northern Africa and the Arabian Peninsula and considers how this information may be used to improve emissivity parameterizations in climate models. Analysis of satellite observations suggests that the soil emissivity in current models is too high over this region. Sensitivity tests based on the recently developed Community Land Model indicate that this bias could produce significant errors in the model simulated ground and air temperature, net and upward longwave radiation, and sensible heat flux. There is a linear relationship between changes in emissivity and changes in these variables. Statistical results show that, on average for the study region, a decrease of soil emissivity by 0.1 will increase ground and air temperature by about 1.1°C and 0.8°C and decrease net and upward longwave radiation by about 6.6 Wm-2 and 8.1 Wm-2, respectively, at the ground surface. The decreased net longwave radiation (less emission) is mainly balanced by an increase of sensible heat flux of about 5.9 Wm-2. These relations vary seasonally and diurnally. The temperature increases are slightly higher in winter than in summer and twice as large during nighttime as during daytime, while the sensible heat flux and longwave radiation show more change in summer/daytime than in winter/ nighttime. Our experimental results are consistent with our theoretical energy balance analyses. When a more realistic emissivity value is used, the model cold bias over the Sahara in comparison with land surface air temperature observations could be partially reduced. These results indicate that the simple representations of the land surface emissivity in climate models, especially for bare soil, need improvements based on satellite and in situ observations. Copyright 2003 by the American Geophysical Union. |
| Relations between albedos and emissivities from MODIS and ASTER data over North African desert, L Zhou; RE Dickinson; K Ogawa; Y Tian; M Jin; T Schmugge; E Tsvetsinskaya, GEOPHYSICAL RESEARCH LETTERS, 30, 2003 10 , 10.1029/2003GL018069, [1] This paper analyzes relations among MODIS surface albedos, ASTER broadband ( 3 - 14 mum) emissivities, and a soil taxonomy map over the arid areas of Algeria, Libya, and Tunisia in North Africa at 30 second ( about 1 km) and 2 minute ( about 4 km) spatial resolutions. The MODIS albedo data are from 7 spectral bands and 3 broadbands during dust-free seasons and the emissivity data are derived from a linear combination of the waveband emissivities of the ASTER five thermal infrared channels. Both albedo and emissivity data in the study region show similar considerable spatial variability, larger than assumed by most climate models, and such variability is related to the surface types ( sands, rock, and soil orders). Emissivity over bare soils exhibits statistically significant correlations with albedos at both broadbands and most of spectral bands and decreases linearly with albedos. Albedo and emissivity are more strongly correlated with each other than either is to the surface types, apparently because of their higher resolution either spatially or in surface mineralogy. This paper provides guidance for the possible inclusion of such correlation to specify albedo and emissivity in climate models. |
| ASTER thermal infrared observations over New Mexico, T Schmugge; A French; F Jacob; K Ogawa; J Ritchie; M Chopping; A Rango, REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY IV, 4879, 2003 , 10.1117/12.462464, The Advanced Spaceborne Thermal Emission Reflectance Radiometer (ASTER) has acquired more than a dozen clear sky scenes over the Jornada Experimental Range in New Mexico since the launch of NASA's Terra satellite in December, 1999. To support the ASTER overpasses there were simultaneous field campaigns for the 5/09/00, 5/12/01, 9/17/01 and 5/15/02 scenes. Also, data from an airborne simulator, MASTEF, were obtained for the 5/12/01 and 5/15/02 scenes to provide high resolution (3 in) data roughly coincident with ASTER. The Jornada Experimental Range is a long term ecological reserve (LTER) site located at the northern end of the Chihuahuan desert. The site is typical of a desert grassland where the main vegetation components are grass and shrubs. The White Sands National Monument is also within several of the scenes. ASTER has 5 channels in the 8 to 12 micrometer wave band with 90 meter resolution and thus is able to provide information on both the surface temperature and emissivity. The Temperature Emissivity Separation (TES) algorithm was used to extract emissivity values from the ASTER data for 5 sites on the Jornada and for the gypsum sand at White Sands. The results are in good agreement with values calculated from the lab spectra for gypsum and with each other. The results for sites in the Jomada show reasonable agreement with the lab results when the mixed pixel problem is taken into account. These results indicate ASTER and TES are working very well. The surface brightness temperatures from ASTER were in reasonable agreement with measurements made on the ground during the field campaigns. |
| Two surface temperature retrieval methods compared over agricultural lands, AN French; TJ Schmugge; F Jacob; K Ogawa, REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY IV, 4879, 2003 , 10.1117/12.462452, Accurate, spatially distributed surface temperatures are required for modeling evapotranspiration (ET) over agricultural fields under wide ranging conditions, including stressed and unstressed vegetation. Modeling approaches that use surface temperature observations, however, have the burden of estimating surface emissivities. Emissivity estimation, the subject of much recent research, is facilitated by observations in multiple thermal infrared bands. But it is nevertheless a difficult task. Using observations from multiband thermal sensors, ASTER and MASTER, estimated surface emissivities and temperatures are retrieved in two different ways: the temperature emtissivity separation approach (TES), and the normalized emissivity approach (NEM). Both rely upon empirical relationships, but the assumed relationships are different. TES relies upon a relationship between the minimum spectral emissivity and the range of observed emissivities. NEM relies upon an assumption that at least one thermal band has a predetermined emissivity (close to 1.0). Experiments comparing TES and NEM were performed using simulated observations from spectral library data, and with actual data from two different landscapes- one in central Oklahoma, USA, and another in southern New Mexico, USA. The simulation results suggest that TES's empirical relationship is more realistic than NEM's assumed maximum emissivity, and therefore TES temperature estimates are more accurate than NEM estimates. But when using remote sensing data, TES estimates of maximum emissivities are lower than expected, thus causing overestimated temperatures. Work in progress will determine the significance of this overestimation by comparing ground level measurements against the remote sensing observations. |
| Validation of emissivity estimates from ASTER data, T Schmugge; K Ogawa; F Jacob; A French; A Hsu; J Ritchie, IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS, 3, 2003 , The multispectral thermal infrared data obtained from the Advanced Spaceborne Thermal Emission and Reflection (ASTER) radiometer have been shown to be of good quality. ASTER is on NASA's Terra satellite. It has 5 bands in the 8 to 12 micrometer waveband with 90 to spatial resolution, when the data are combined with the Temperature Emissivity Separation (TES) algorithm the surface emissivity over this wavelength region can be determined. This paper will present some quantitative emissivity results obtained over test sites in southern New Mexico, USA; the Jornada Experimental Range and the White Sands National Monument which are compared with ground measurements. The Jornada site is typical of a desert grassland where the main vegetation components are grass and shrubs with a large fraction of exposed soil. While the White Sands site is mainly dunes of gypsum sand which provides relatively good homogenous emissivity target. More than a dozen ASTER scenes over these New Mexico test sites have been acquired since the launch of Terra in December 1999. There were simultaneous field campaigns in May of 2000, 2001 and 2002 and September/October 2001 and 2002. Also, simultaneous MASTER (MODIS-ASTER airborne simulator) coverage was obtained for several of the dates. In spite of the 90 m resolution, the results appear to be in good quantitative agreement with laboratory measurements of the emissivity for the quartz rich soils of the Jornada with values < 0.85 for the 8 - 9 micrometer channels. For the longest wavelength channels little spatial variation of the emissivity was observed with values of 0.96 +/- 0.005 over large areas. Emissivity values derived from several ASTER scenes for the gypsum at White Sands were in good agreement with field measurements and values calculated from the lab spectra for gypsum and with each other. Gypsum has a strong emissivity minimum centered on the ASTER 8.63 micrometer band, and the satellite results for this band agree within 0.01 of the value calculated from the laboratory spectra. |
| Mapping land surface window (8-12 mu m) emissivity from ASTER thermal data, K Ogawa; T Schmugge; F Jacob; A French, IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS, 5, 2003 , Land surface window (8-12 mum) emissivity is an important parameter for estimating the longwave radiation budget in the study of earth-atmosphere system. This paper focuses on estimation and validation of the window emissivity using the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data. Using this sensor, it is possible to estimate surface spectral emissivity for five channels in thermal infrared region. An example is presented for a desert region in North Africa. In this paper, a multiple regression was used to relate the five ASTER emissivities to the window emissivity. This regression was developed using laboratory spectral measurement data. We validated this approach using a field radiometer that has a window channel and five spectral channels similar to ASTER's wavelengths. The predicted window emissivities agreed within 0.01 RMSE of measured window emissivity. We applied this regression to emissivities extracted from ASTER data acquired in 2001 and 2002 over a 400 km by 1200 km area in the Sahara Desert. The derived emissivity map showed that the value widely ranges between 0.82 and 0.96 in desert region. These results show that ASTER data is useful for mapping the spatial variations of surface window emissivity over large area in the deserts of the world. |
| Estimation of land surface window (8-12 mu m) emissivity from multispectral thermal infrared remote sensing - A case study in a part of Sahara Desert, K Ogawa; T Schmugge; F Jacob; A French, GEOPHYSICAL RESEARCH LETTERS, 30, (2) 39 - 1, 2003 01 , 10.1029/2002GL016354, [1] Land surface window emissivity is an important parameter for estimating the longwave radiative budget. This study focuses on estimating the window (8-12 mum) emissivity from the waveband emissivities of the five thermal infrared channels of the Advanced Spaceborne Thermal Emission and Reflection Radiometer ( ASTER). ASTER data along with the Temperature-Emissivity Separation (TES) algorithm allows us to estimate surface channel emissivities with 90 m spatial resolution globally. Multiple regression was used to relate window emissivity to the five ASTER emissivities. This regression was developed using spectral libraries. Its residual error was less than 0.005 (RMSE) for values ranging between 0.81 and 1.00. We applied this regression to ASTER emissivities extracted from data acquired in 2001 and 2002 over a 240 x 1200 km area in a desert of North Africa. A comparison against a classification based emissivity map showed significant differences ranging between -0.08 and + 0.06. |
| 学位論文をまとめるに当たって : 第2弾(Part 1), 小川 健太, 水文・水資源学会誌, 15, (4) 440 - 440, 2002 07 05 |
| アメリカ合衆国農務省における熱赤外リモートセンシングと地表面熱収支に関する研究, 小川 健太, 水文・水資源学会誌, 15, (4) 439 - 439, 2002 07 05 |
| Estimation of broadband land surface emissivity from multi-spectral thermal infrared remote sensing, Kenta Ogawa; Thomas Schmugge; Frédéric Jacob; Andrew French, Agronomie, 22, 2002 01 01 |
| Estimation of broadband emissivity from satellite multi-channel thermal infrared data using spectral libraries, K Ogawa; T Schmugge; F Jacob; A French, IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS, 6, 2002 , Surface broadband thermal infrared emissivity is an important parameter for estimating the longwave surface energy balance. This study focuses on estimating the broadband emissivity from the emissivities of the five channels on the Advanced Spaceborne Thermal Emission and Reflection Radiometer / Thermal Infrared Radiometer (ASTER/TIR). ASTER is a sensor onboard the Earth Observing System (EOS) Terra satellite launched in 1999, and has five channels in the thermal infrared region (8-12 mum). Using this sensor, it is possible to estimate surface spectral emissivity for each channel at a spatial resolution of 90 m. Broadband emissivities (3-14 mum) were calculated using two spectral libraries, John Hopkins University Spectral Library (JHU Library) and MODIS UCSB (University of California, Santa Barbara) Emissivity Library (UCSB Library). They ranged from 0.89 to 0.99 for natural surfaces, such as, rocks, soils, vegetation, water, ice, and snow. Then, we assumed that the broadband emissivity can be expressed as a linear combination emissivities for the five ASTER/TIR channels. The linear regression was calibrated using JHU Library and validated with the UCSB Library. The absolute error on the estimated broadband emissivity was less than 0.01 for 93 % of all samples and RMSE was 0.0051 over an emissivity range from 0.91 to 0.99 in validation. Finally, this calibrated regression was applied to emissivities computed from the data acquired with ASTER/TIR over the Jornada Experimental Range in New Mexico to produce a map of broadband emissivity for this area. |
| リモートセンシングの普及に関する課題と将来, 小川 健太, 日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan, 21, (1) 110 - 111, 2001 03 31 |
| Evaluation of Thickness of Desert Varnish on the Rock Surface Using Thermal Infrared Multispectral Remote Sensing Data, OGAWA Kenta; ROKUGAWA Shuichi; MATSUNAGA Tsuneo; NINOMIYA Yoshiki, Journal of the Remote Sensing Society of Japan, 19, (1) 45 - 58, 1999 03 31 , 10.11440/rssj1981.19.45 |
| A comparison of thermal infrared emissivity spectra measured in situ, in the laboratory, and derived from thermal infrared multispectral scanner (TIMS) data in Cuprite, Nevada, U.S.A, Y. Ninomiya; T. Matsunaga; Y. Yamaguchi; K. Ogawa; S. Rokugawa; K. Uchida; H. Muraoka; M. Kaku, International Journal of Remote Sensing, 18, (7) 1571 - 1581, 1997 , 10.1080/014311697218287, In order to obtain ground truth data for multispectral thermal infrared sensors such as TIMS and ASTER, in situ spectral emissivity measurements were made during field surveys. These spectral emissivity measurements and laboratory spectral reflectance measurements of field samples were compared to emissivity spectra extracted from TIMS data at the surveyed points. The results indicate that emissivity spectra derived from the TIMS data agree well in shape with the spectra measured in situ or in the laboratory. © 1997, Taylor & Francis Group, LLC. All rights reserved. |
| Evaluation of Rock Weathering Process Using Thermal Infrared Remote Sensing Data, OGAWA Kenta; ROKUGAWA Shuichi; MATSUNAGA Tsuneo; NINOMIYA Yoshiki, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 19, 1995 11 01 |
| A method of TIR spectral emissivity measurements with a calibration using emissions from dual temperature blackbodies, and its error factors, NINOMIYA Y; MATSUNAGA T; OGAWA K; SASANO H; ROKUGAWA S, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 18, 1995 05 01 |
| Laboratory Measurement of Thermal Infrared Spectral Emissivity with Environmental Radiance Reduction, MATSUNAGA T; NINOMIYA Y; YOSHIKAWA H; YAMAGUCHI Y; OGAWA K, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 18, 1995 05 01 |
| Evaluation of Rock Weathering Process Using Spectral Characteristics in the Thermal Infrared Region, OGAWA Kenta; ROKUGAWA Shuichi; MATSUNAGA Tsuneo; NINOMIYA Yoshiki, 学術講演会論文集 = Proceedings of the ... Japanese Conference on Remote Sensing, 18, 1995 05 01 |
Patents
| 画像情報処理システム, 石丸 伸裕, 岩村 一昭, 田中 紀夫, 室 啓朗, 小川 健太, 特願2004-090901, 特開2005-276004, 特許第4251101号 |
| 目標物検出方法及び目標物検出装置, 石丸 伸裕, 小川 祐紀雄, 小川 健太, 岩村 一昭, 野本 安栄, 特願2000-126231, 特開2001-307106, 特許第3978979号 |
| 画像情報処理システム, 石丸 伸裕, 岩村 一昭, 田中 紀夫, 室 啓朗, 小川 健太, 特願2004-090901, 特開2005-276004 |
| 目標物抽出・表示方法、及び、目標物抽出・表示装置, 石丸 伸裕, 小川 祐紀雄, 小川 健太, 岩村 一昭, 野本 安栄, 特願2000-126231, 特開2001-307106 |
| 画像処理システム, 小川 健太, 田中 紀夫, 野本 安栄, 特願平9-314826, 特開平11-149548 |
Awards & Honors
| 2023 07 , ESRI User Conference 2023, ESRI User Conference 2023 Map Gallery Analytic Methods and Results, First place, Goose123: Automated Counts of Goose on UAV Image Using Deep Learning |
| 2023 03 , 日本写真測量学会北海道支部, 優秀論文発表賞, 襟裳岬における UAV 空撮画像を用いたゼニガタアザラシの自動カウント |
| 2021 05 , 日本リモートセンシング学会, 日本リモートセンシング学会 論文賞, UAV画像を用いた水面の水鳥の自動カウント |
Research Grants & Projects
| Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Drone Photography and Image Object Detection by AI for Automatic Bird Counting, 20220401, 20250331, 小川 健太 |
| 農水省, 革新的技術開発・緊急展開事業（先導プロジェクト）ICT,ロボット技術等を活用した牧草生産の省力的技術体系の確立, 無人航空機（UAV）とロボットトラクタを活用した省力的牧草生産技術体系の確立, 2016, 2018, 小川 健太 |
| 総務省, 消防防災科学技術研究推進制度, 大規模林野火災におけるドローンとリアルタイムGIS活用による対応の効率化と安全性向上, 2016, 2018, 金子 正美 |
| 環境省, 環境研究総合推進費, フィールド調査とロボット・センサ･通信技術をシームレスに連結する水域生態系モニタリングシステムの開発, 2016, 2018, 小川 健太 |
| Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Senario to withdraw from Satoyama forest and plantation based on the risk assessment of abandonment, 20120401, 20170331, MORIMOTO Junko, We conducted the research for 1) Elucidating the actual situation of risks caused by abandonment of satoyama forests and artificial forests, 2) modeling risks and extracting high-risk areas, and 3) drawing a scenario of withdrawal from satoyama forest and artificial forest. As a result, 1) the windthow risk in artificial forests rises more greatly in places with high risk even in natural forests, 2) big male bear with large body sizes appear on low popularity agricultural land adjacent to the forest and use corn. 3) as a means to reduce both risks of artificial forests and satoyama forests, there is the conversion of artificial forests into mixed forest. Conversion of the old stands into mixed forests which is located on the protrusions on the slope is the most effective for reducing windthrow risks. We proposed other management methods for effective risk mitigation. |
| 公益財団法人北海道農業公社, 受託研究, GIS、リモートセンシング（以下R/S)、ICTを用いた農用地開発整備業務の効率化手法の開発, 2016, 2017, 金子 正美 |
| 経済産業省, 次世代地球観測衛星利用基盤技術の研究開発, ハイパースペクトルセンサ・データの高度利用等に係る研究開発(再委託), 2015, 2017, 小川 健太 |
| Japan Society for the Promotion of Science, Grants-in-Aid for Scientific Research, Risk assessment of conflicts between human and wild animals toward the reconstruction of Satoyama region, 2009, 2011, MORIMOTO Junko; OGAWA Kenta, After analyzing spatial features that conflicts between human and Ursus actors, it was found that differences on the land cover and land use in a landscape triggers the differences on the spatial features that conflicts occurs. Validation analyses on existing control policies of agricultural damage by Cervus nippon yesoensis revealed that today's level of capturing does not have advantageous effects, and deer fence that protect over 25% of agricultural lands have effects for the first time. |
社会貢献活動情報
Social Contribution
| 2022 11 03 , 鳥類研究のための空飛ぶドローン講座, 日本鳥学会, 日本鳥学会2022年度大会# |
| 2021 08 10 - 2021 12 16 , 由仁町スマート農業加速化研究会, 由仁町スマート農業加速化事業 受託者 株式会社チュプチニカ, 由仁町スマート農業加速化研究会# |
| 2020 01 28 , ドローンや衛星画像技術の農業分野での利活用について, 本別町営農指導対策協議会, 本別町農業塾# |
| 2019 11 11 , ドローンや衛星画像技術の農業分野での利活用について, 青森県上北地域県民局 地域農林水産部農業普及振興室, 青森県「現場ニーズ対応企画研修（スマート農業の普及）」# |
| 2018 11 08 - 2018 11 09 , ビジネスEXPO「ＡＩ／ＩｏＴ等先端技術に 関する道内大学の取組事例」, ノーステック財団, 32nd 北海道最大級のビジネスイベント ビジネスEXPO# |
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