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 WE2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification III
Presentation Mode Virtual
Session Time Wed, 30 Sep, 14:30 - 16:30 UTC
Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsPang-Wei Liu, NASA Goddard Space Flight Center and Dipankar Mandal, Indian Institute of Technology Bombay
WE2.R11.1: MAPPING RICE PLANTING AREA USING MULTI-TEMPORAL QUAD-POL RADARSAT-2 DATASETS AND RANDOM FOREST ALGORITHM
         Ze He; University of Electronic Science and Technology of China
         Shihua Li; University of Electronic Science and Technology of China
         Pengfei Zhai; University of Electronic Science and Technology of China
         Yuchuan Deng; University of Electronic Science and Technology of China
WE2.R11.2: SCOPE, EXTENT, AND CHALLENGES OF AN AUTOMATED GLOBAL CROP CLASSIFICATION MODEL
         Sukanya Randhawa; IBM Research India
         Manikandan Padmanaban; IBM Research India
         UmaMaheswari Devi; IBM Research India
WE2.R11.3: ASSESSMENT OF CLOUD COVER IN SENTINEL-2 DATA USING RANDOM FOREST CLASSIFIER
         Petteri Nevavuori; Mtech Digital Solutions Oy
         Tarmo Lipping; Tampere University
         Nathaniel Narra; Tampere University
         Petri Linna; Tampere University
WE2.R11.4: USE OF REMOTE SENSING SATELLITE IMAGES IN RICE AREA MONITORING SYSTEM OF BANGLADESH
         Kazi A Kalpoma; Ahsanullah University of Science and Technology
         Rumman Ali; Ahsanullah University of Science and Technology
         Ashiqur Rahman; Ahsanullah University of Science and Technology
         Ashraful Islam; Ahsanullah University of Science and Technology
WE2.R11.5: AUTUMN CROP MAPPING BASED ON DEEP LEARNING METHOD DRIVEN BY HISTORICAL LABELLED DATASET
         Shuang Zhu; Beijing Polytechnic College
         Jinshui Zhang; Beijing Normal University
         Guanyuan Shuai; Michigan State University
         Hongli Liu; Beijing Normal University
         Feng Zhang; Beijing Normal University
         Zheng Dong; Beijing Vocational Transportation College
WE2.R11.6: DEVELOP LARGE-AREA AUTUMN CROP TYPE PRODUCT USING A DEEP LEARNING STRATEGY
         Qing Xu; Beijing Normal University
         Jinshui Zhang; Beijing Normal University
         Feng Zhang; Beijing Normal University
         Shuang Zhu; Beijing Polytechnic College
WE2.R11.7: SOIL NUTRIENTS PREDICTION USING REMOTE SENSING DATA IN WESTERN INDIA: AN EVALUATION OF MACHINE LEARNING MODELS
         Gunkirat Kaur; Indian Institute of Information Technology Delhi
         Kamal Das; IBM Research India
         Jagabondhu Hazra; IBM Research India
WE2.R11.8: USE NIGHT TIME LIGHT REMOTE SENSING TO DISCOVER DRAGON FRUIT PLANTATIONS IN VIETNAM
         Ruirui Wang; Beijing Forestry University
         Wei Shi; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
         Huiping Jiang; Aerospace Information Research Institute, Chinese Academy of Sciences
WE2.R11.9: YIELD AND COMMERCIAL CANE SUGAR ESTIMATION FOR SUGARCANE IN THAILAND - A CASE STUDY
         Ranjini B Guruprasad; IBM Research India
         Kalyan Dasgupta; IBM Research India
         Klanarong Sriroth; Mitr Phol
         Panyawat Chattanrassamee; Mitr Phol
         Noppadon Khiripet; National Science and Technology Development Agency (NSTDA)
WE2.R11.10: JOINT ESTIMATION OF GRASSLAND LEAF AREA INDEX AND LEAF CHLOROPHYLL CONTENT FROM UNMANNED AERIAL VEHICLE HYPERSPECTRAL DATA
         Xiaohua Zhu; Aerospace Information Research Institute, Chinese Academy of Sciences
         Chuanrong Li; Aerospace Information Research Institute, Chinese Academy of Sciences
         Lingli Tang; Aerospace Information Research Institute, Chinese Academy of Sciences
         Qian Yang; Aerospace Information Research Institute, Chinese Academy of Sciences
         Yongguang Zhao; Aerospace Information Research Institute, Chinese Academy of Sciences