College of Agriculture,Food and Environment Sciences, Department of Environmental and Symbiotic Science
小川健太 オガワ ケンタ

Last Update :2020/11/13

Researcher Profile and Settings



Affiliation (Master)

College of Agriculture,Food and Environment Sciences, Department of Environmental and Symbiotic Science



Association Memberships


Research Activities

Research Areas

Environmental science/Agricultural science, Agricultural environmental and information engineering

Research Interests

Remote Sensing,

Published Papers

Automated Counting of Waterfowl on Water Surface Using UAV Imagery, Journal of The Remote Sensing Society of Japan, Journal of The Remote Sensing Society of Japan, Vol.39, No.5, 363, 370, 20191100, Refereed
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, Forestry an International Journal of Forest Research, 1, 8, 20190200, Refereed
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, The International Symposium on Remote Sensing (ISRS) 2017, 903, 906, 20170500
Changes in Agricultural Form and Regional Development In Tongliao, Inner Mongolia, China, KODA, Remi ZHAO, Mingyu MORI, Kaori OGAWA, Kenta HOTCHI, Kikuji KOITO, Kentaro HOSHINO, Buho KANEKO, Masami, Journal of Rakuno Gakuen University, Journal of Rakuno Gakuen University, 41, 1, 20161000, Refereed

Conference Activities & Talks

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,   2018 08 20 , 招待有り
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,   2016 01
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 01 01 , © 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 %.


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]

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
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.
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 ,
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 ,, 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.
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 ,, 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 ,, 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.
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 ,, 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, R. E. Dickinson, K. Ogawa, Y. Tian, M. Jin, T. Schmugge, E. Tsvetsinskaya, Geophysical Research Letters, 30,   2003 10 15 ,, This paper analyzes relations among MODIS surface albedos, ASTER broadband (3-14 μm) 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. © 2003 by the American Geophysical Union.
Estimation of land surface window (8-12 μm) emissivity from multi-spectral thermal infrared remote sensing - A case study in a part of Sahara Desert, Kenta Ogawa, Thomas Schmugge, Frederic Jacob, Andrew French, Geophysical Research Letters, 30,   2003 01 15 ,, Land surface window emissivity is an important parameter for estimating the longwave radiative budget. This study focuses on estimating the window (8-12 μm) 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.
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.
ASTER thermal infrared observations over New Mexico, Thomas Schmugge, Andrew French, Frederic Jacob, Kenta Ogawa, Jerry Ritchie, Mark Chopping, Albert Rango, Proceedings of SPIE - The International Society for Optical Engineering, 4879,   2002 12 01 , 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. MASTER, were obtained for the 5/12/01 and 5/15/02 scenes to provide high resolution (3 m) 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 Jornada 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, Andrew N. French, Thomas J. Schmugge, Frederic Jacob, Kenta Ogawa, Proceedings of SPIE - The International Society for Optical Engineering, 4879,   2002 12 01 , 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 emissivity 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.
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 ,
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,
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 ,


特願2004-090901, 特開2005-276004, 特許第4251101号
特願2000-126231, 特開2001-307106, 特許第3978979号
特願2004-090901, 特開2005-276004
特願2000-126231, 特開2001-307106
特願平9-314826, 特開平11-149548