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

MO2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification I

Mon, 28 Sep, 14:30 - 16:30 (UTC)
Mon, 28 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Mon, 28 Sep, 16:30 - 18:30 Central Europe Summer Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Mehdi Hosseini, University of Maryland and Simone Pettinato, Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
Session Managers: Mirnayani M and George Worrall
Track: Land Applications
14:30-14:40 (UTC)
22:30-22:40 (UTC +8)
16:30-16:40 (UTC +2)
07:30-07:40 (UTC -7)

MO2.R11.1: APPLICATION OF DEEP LEARNING TO OPTICAL AND SAR IMAGES FOR THE CLASSIFICATION OF AGRICULTURAL AREAS IN ITALY
Alessandro Lapini, Giacomo Fontanelli, Simone Pettinato, Emanuele Santi, Simonetta Paloscia, Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”, Italy; Deodato Tapete, Francesca Cigna, Italian Space Agency, Italy
14:40-14:50 (UTC)
22:40-22:50 (UTC +8)
16:40-16:50 (UTC +2)
07:40-07:50 (UTC -7)

MO2.R11.2: EARLY-SEASON CROP CLASSIFICATION WITH RADARSAT-2 POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY
Weikai Tan, Unviersity of Waterloo, Canada; Abhijit Sinha, Yifeng Li, A.U.G. Signals Ltd., Canada; Lingfei Ma, Jonathan Li, University of Waterloo, Canada
14:50-15:00 (UTC)
22:50-23:00 (UTC +8)
16:50-17:00 (UTC +2)
07:50-08:00 (UTC -7)

MO2.R11.3: FINE CLASSIFICATION OF RICE IN NORTHEAST THAILAND USING C- AND L-BAND TIME-SERIES SAR IMAGES
Lu Xu, Hong Zhang, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, China; Chao Wang, Sisi Wei, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences; University of Chinese Academy of Sciences, China
15:00-15:10 (UTC)
23:00-23:10 (UTC +8)
17:00-17:10 (UTC +2)
08:00-08:10 (UTC -7)

MO2.R11.4: CROP HARVEST MONITORING USING POLARIMETRIC SAR PARAMETERS
Mehdi Hosseini, Inbal Becker-Reshef, Chris Justice, University of Maryland, United States
15:10-15:20 (UTC)
23:10-23:20 (UTC +8)
17:10-17:20 (UTC +2)
08:10-08:20 (UTC -7)

MO2.R11.5: A SATELLITE AGNOSTIC APPROACH TO QUANTIFYING HAIL DAMAGE SWATHS ACROSS THE CENTRAL UNITED STATES AND OTHER AGRICULTURAL REGIONS
Jordan Bell, Andrew Molthan, Christopher Hain, NASA Marshall Space Flight Center, United States; Franz Meyer, University of Alaska Fairbanks, United States; Christopher Schultz, Nicholas Elmer, NASA Marshall Space Flight Center, United States
15:20-15:30 (UTC)
23:20-23:30 (UTC +8)
17:20-17:30 (UTC +2)
08:20-08:30 (UTC -7)

MO2.R11.6: WINTER WHEAT MAPPING FROM LANDSAT NDVI TIME SERIES DATA USING TIME-WEIGHTED DYNAMIC TIME WARPING AND PHENOLOGICAL RULES
Chang Qu, Peijun Li, Peking University, China
15:30-15:40 (UTC)
23:30-23:40 (UTC +8)
17:30-17:40 (UTC +2)
08:30-08:40 (UTC -7)

MO2.R11.7: CropNet: Deep Spatial-Temporal-Spectral Feature Learning Network for Crop Classification from Time-Series Multi-Spectral Images
Chang Luo, Shiyao Meng, Xin Hu, Xinyu Wang, Yanfei Zhong, Wuhan University, China
15:40-15:50 (UTC)
23:40-23:50 (UTC +8)
17:40-17:50 (UTC +2)
08:40-08:50 (UTC -7)

MO2.R11.8: AN ADAPTIVE NEURO-FUZZY APPROACH FOR DECOMPOSITION OF MIXED PIXELS TO IMPROVE CROP AREA ESTIMATION USING SATELLITE IMAGES
Arun Kant Dwivedi, Sudip Roy, Dharmendra Singh, Indian Institute of Technology Roorkee, India
15:50-16:00 (UTC)
23:50-00:00 (UTC +8)
17:50-18:00 (UTC +2)
08:50-09:00 (UTC -7)

MO2.R11.9: MYSENSE-WEBGIS: A GRAPHICAL MAP LAYERING-BASED DECISION SUPPORT TOOL FOR AGRICULTURE
Telmo Adão, University of Trás-os-Montes e Alto Douro, Portugal; Abel Soares, University of Minho, Portugal; Luís Pádua, Nathalie Guimarães, Tatiana Pinho, Joaquim J. Sousa, Raul Morais, Emanuel Peres, University of Trás-os-Montes e Alto Douro, Portugal
16:00-16:10 (UTC)
00:00-00:10 (UTC +8)
18:00-18:10 (UTC +2)
09:00-09:10 (UTC -7)

MO2.R11.10: WEED AND CROP DISCRIMINATION USING U-NET LEARNING
Leila Hashemi-Beni, Asmamaw Gebrehiwot, Ali Karimoddini , Abolghasem Shahbazi, North Carolina A&T State University, United States
16:10-16:20 (UTC)
00:10-00:20 (UTC +8)
18:10-18:20 (UTC +2)
09:10-09:20 (UTC -7)

MO2.R11.11: RESEARCH OF METHANE EMISSIONS BASED ON BIOGEOCHEMICAL MODEL AND ACTIVE MICROWAVE MEASUREMENT
Longfei Tan, Yuxia Li, University of Electronic Science and Technology of China, China; Yang Zhang, North China Power Engineering Co., Ltd. of China, China; Ting Yang, West China School of Public Health and West China Fourth Hospital, Sichuan University, China; Fanghong Xiao, University of Electronic Science and Technology of China, China