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

Note: Your custom schedule will not be saved unless you create a new account or login to an existing account.
  1. Create a login based on your email (takes less than one minute)
  2. Perform 'Paper Search'
  3. Select papers that you desire to save in your personalized schedule
  4. Click on 'My Schedule' to see the current list of selected papers
  5. Click on 'Printable Version' to create a separate window suitable for printing (the header and menu will appear, but will not actually print)

Session Detail

Session Title FR2.R11: Remote Sensing for Crop Parameters III
Presentation Mode Virtual
Session Time Fri, 02 Oct, 14:30 - 16:30 UTC
Fri, 02 Oct, 22:30 - 00:30 China Standard Time (UTC +8)
Fri, 02 Oct, 16:30 - 18:30 Central Europe Time (UTC +2)
Fri, 02 Oct, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsJuan Lopez-Sanchez, University of Alicante and Brian Hornbuckle, Iowa State University
FR2.R11.1: CALIBRATION OF A SVAT MODEL IN THE CENTRAL ZONE OF MEXICO WITH IN-SITU DATA OVER A CORN FIELD REGION
         Héctor Ernesto Huerta Batiz; Instituto Politécnico Nacional
         Daniel Enrique Constantino Recillas; Instituto Politécnico Nacional
         Alejandro Monsiváis Huertero; Instituto Politécnico Nacional
         Aura Citlalli Torres Gómez; Instituto de Geografía y Geomatica Ing. Jorge L. Tamayo
         Jasmeet Judge; Center of Remote Sensing Dep. of Agric. and Biol. Eng
FR2.R11.2: IMPROVING THE RICE YIELD ESTIMATION USING SMOS AND CYGNSS GNSS-R DATA
         Qian Zhan; China University of Geosciences (Beijing)
         Mercè Vall-llossera; Universitat Politècnica de Catalunya
         Miriam Pablos; Institute of Marine Sciences (ICM)
         Adriano Camps; Universitat Politècnica de Catalunya
         Gerard Portal; Universitat Politècnica de Catalunya
         David Chaparro; Universitat Politècnica de Catalunya
FR2.R11.3: EMPIRICAL COMBINATION OF LANDSAT 7 AND 8 IMAGERY TO DETECT THE PHENOLOGICAL CHANGES IN RAINFED CROPLAND VEGETATION
         Jianxiu Shen; Murdoch University
         Fiona H. Evans; Murdoch University
FR2.R11.4: WINTER WHEAT PHENOLOGY EXTRACTION BASED ON DENSE TIME SERIES OF SENYINEL-1A DATA
         Lin Qiu; China University of Petroleum (East China)
         Genyun Sun; China University of Petroleum (East China)
         Aizhu Zhang; China University of Petroleum (East China)
         Yanjuan Yao; Ministry of Environmental protection of China
FR2.R11.5: PREDICTION OF GRAIN PROTEIN CONTENT OF WINTER WHEAT USING UAV BASED HYPERSPECTRAL DATA
         Siqi Yang; Peking University
         Haobo Wu; Peking University
         Ling Hu; Peking University
         Wenjie Fan; Peking University
         Huazhong Ren; Peking University
FR2.R11.6: ESTIMATING CHLOROPHYLL CONTENT OF RICE BASED ON UAV-BASED HYPERSPECTRAL IMAGERY AND CONTINUOUS WAVELET TRANSFORM
         Gangqiang An; University of Electronic Science and Technology of China
         Minfeng Xing; University of Electronic Science and Technology of China
         Chunhua Liao; Western University
         Binbin He; University of Electronic Science and Technology of China
FR2.R11.7: SENTINEL-2 AND PLANETSCOPE DATA FUSION INTO DAILY 3 M IMAGES FOR LEAF AREA INDEX MONITORING
         Yuval Sadeh; Monash University
         Xuan Zhu; Monash University
         David Dunkerley; Monash University
         Jeffrey P. Walker; Monash University
         Yuxi Zhang; Monash University
         Offer Rozenstein; Volcani Center
         V.S. Manivasagam; Volcani Center
         Karine Chenu; University of Queensland
FR2.R11.8: TOWARD MATURITY ASSESSMENT OF SNAP BEAN CROPS: A BEST-CASE GREENHOUSE SCENARIO
         Amirhossein Hassanzadeh; Rochester Institute of Technology
         Sean Murphy; Cornell University
         Sarah Pethybridge; Cornell University
         Jan van Aardt; Rochester Institute of Technology
         Fei Zhang; Rochester Institute of Technology
FR2.R11.9: IMPROVED DROUGHT MONITORING METHOD BASED ON MULTISOURCE REMOTE SENSING DATA
         Zhengdong Wang; University of Chinese Academy of Sciences
         Peng Guo; Shandong Agricultural University
         Hong Wan; Shandong Agricultural University
FR2.R11.10: LEAF COUNTING IN RICE (ORYZA SATIVA L.) USING OBJECT DETECTION: A DEEP LEARNING APPROACH
         Mukesh Kumar Vishal; Indian Institute of Technology Bombay
         Biplab Banerjee; Indian Institute of Technology Bombay
         Rohit Saluja; Indian Institute of Technology Bombay
         Dhandapani Raju; ICAR-IARI
         Chinnusamy Viswanathan; ICAR-IARI
         Sudhir Kumar; ICAR-IARI
         Rabi Narayan Sahoo; ICAR-IARI
         Jagarlapudi Adinarayana; Indian Institute of Technology Bombay
FR2.R11.11: MARKOV CHAIN MONTE CARLO AND FOUR-DIMENSIONAL VARIATIONAL APPROACH BASED WINTER WHEAT YIELD ESTIMATION
         Hai Huang; China Agricultural University
         Jianxi Huang Huang; China Agricultural University
         Yantong Wu; University of Electronic Science and Technology of China