2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

2020 IEEE International Geoscience and Remote Sensing Symposium

September 26 - October 2, 2020 • Virtual Symposium

My IGARSS 2020 Schedule

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Session Detail

Session Title FR1.R11: Remote Sensing for Crop Parameters II
Presentation Mode Virtual
Session Time Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsJasmeet Judge, University of Florida and Mauro Dalla mura, Univ. Grenoble Alpes
FR1.R11.1: ASSESSING CROP PRODUCTIVITY IN DECONTAMINATED FARMLAND IN FUKUSHIMA USING MICRO-SATELLITE VENµS AND HYPERSPECTRAL SENSING
         Yoshio Inoue; University of Tokyo
         Gerard Dedieu; Centre d'Etudes Spatiales de la Biosphère, CESBIO
         Naofumi Yoshida; Fukushima Agricultural Technology Center
         Takashi Saito; Fukushima Agricultural Technology Center
         Akira Iwasaki; University of Tokyo
         Eiji Sakaiya; Aomori Prefectural Industrial Technology Center
FR1.R11.2: CROP YIELD ESTIMATION USING MULTI-SOURCE SATELLITE IMAGE SERIES AND DEEP LEARNING
         Gohar Ghazaryan; University of Bonn
         Sergii Skakun; University of Maryland
         Simon König; University of Bonn
         Ehsan Eyshi Rezaei; University of Göttingen
         Stefan Siebert; University of Göttingen
         Olena Dubovyk; University of Bonn
FR1.R11.3: A SATELLITE-BASED METHODOLOGY FOR HARVEST DATE DETECTION AND YIELD PREDICTION IN SUGARCANE
         Yuri Shendryk; CSIRO
         Lecheng Pan; CSIRO
         Matthew Craigie; CSIRO
         Mattia Stasolla; Royal Military Academy
         Catherine Ticehurst; CSIRO
         Peter Thorburn; CSIRO
FR1.R11.4: PADDY FIELD MAPPING IN EASTERN PART OF ASIA USING SENTINEL-1 AND SENTINEL-2
         Shimpei Inoue; National Institute for Environmental Studies
         Akihiko Ito; National Institute for Environmental Studies
         Chinatsu Yonezawa; Tohoku University
FR1.R11.5: CROP EVAPOTRANSPIRATION ESTIMATES FOR SUGARCANE BASED ON REMOTE SENSING AND LAND SURFACE MODEL IN THAILAND
         Kamal Das; IBM Research India
         Noppadon Khiripet; National Science and Technology Development Agency (NSTDA)
         Panyawat Chattanrassamee; Mitr-Phol, Thailand
         Chalerm Kijkullert; Mitr-Phol, Thailand
         Vorraveerukorn Veerachit; Mitr-Phol, Thailand
FR1.R11.6: LANDSAT-BASED RECONSTRUCTION OF CORN AND SOYBEAN YIELD HISTORIES IN THE UNITED STATES SINCE 1999
         David Lobell; Stanford University
         Walter Dado; Stanford University
         Jillian Deines; Stanford University
         Stefania di Tommaso; Stanford University
         Sherrie Wang; Stanford University
FR1.R11.7: USING NDVI TIME SERIES CURVE CHANGE RATE TO ESTIMATE WINTER WHEAT YIELD
         Zhonglin Ji; Beijing Normal University
         Yaozhong Pan; Beijing Normal University
         Muyi Li; Beijing Normal University
FR1.R11.8: ASSESSING THE EFFECTS OF NUTRIENT STRESS ON THE RED TO FAR-RED RATIOS OF LIGHT TRANSMITTED BY UNIFACIAL PLANT LEAVES
         Gladimir Baranoski; University of Waterloo
FR1.R11.9: EXPLOITING THE TEXTURAL INDICES OF UAV MULTISPECTRAL IMAGERY TO PREDICT RICE GRAIN YIELD
         Hengbiao Zheng; Nanjing Agricultural University
         Yan Zhu; Nanjing Agricultural University
         Tao Cheng; Nanjing Agricultural University
FR1.R11.10: ESTIMATION OF LEAF ANGLE DISTRIBUTION BASED ON STATISTICAL PROPERTIES OF LEAF SHADING DISTRIBUTION
         Kuniaki Uto; Tokyo Institute of Technology
         Mauro Dalla Mura; Univ. Grenoble Alpes
         Yuka Sasaki; Yamagata University
         Koichi Shinoda; Tokyo Institute of Technology
FR1.R11.11: COMBINING UAS AND SENTINEL-2 DATA TO ESTIMATE CANOPY PARAMETERS OF A COTTON CROP USING MACHINE LEARNING
         Akash Ashapure; Purdue University
         Jinha Jung; Purdue University
         Sungchan Oh; Purdue University
         Anjin Chang; Texas A&M University Corpus Christi
         Nothabo Dube; Texas A&M AgriLife Research at Corpus Christi
         Juan Landivar; Texas A&M AgriLife Research at Corpus Christi