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 MO2.R11: Remote Sensing for Crop Monitoring, Mapping and Classification I
Presentation Mode Virtual
Session Time 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 Time (UTC +2)
Mon, 28 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsMehdi Hosseini, University of Maryland and Simone Pettinato, Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
MO2.R11.1: APPLICATION OF DEEP LEARNING TO OPTICAL AND SAR IMAGES FOR THE CLASSIFICATION OF AGRICULTURAL AREAS IN ITALY
         Alessandro Lapini; Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
         Giacomo Fontanelli; Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
         Simone Pettinato; Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
         Emanuele Santi; Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
         Simonetta Paloscia; Consiglio Nazionale delle Ricerche - Istituto di Fisica Applicata “Nello Carrara”
         Deodato Tapete; Italian Space Agency
         Francesca Cigna; Italian Space Agency
MO2.R11.2: EARLY-SEASON CROP CLASSIFICATION WITH RADARSAT-2 POLARIMETRIC SYNTHETIC APERTURE RADAR IMAGERY
         Weikai Tan; Unviersity of Waterloo
         Abhijit Sinha; A.U.G. Signals Ltd.
         Yifeng Li; A.U.G. Signals Ltd.
         Lingfei Ma; University of Waterloo
         Jonathan Li; University of Waterloo
MO2.R11.3: FINE CLASSIFICATION OF RICE IN NORTHEAST THAILAND USING C- AND L-BAND TIME-SERIES SAR IMAGES
         Lu Xu; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Hong Zhang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences
         Chao Wang; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences; University of Chinese Academy of Sciences
         Sisi Wei; Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences; University of Chinese Academy of Sciences
MO2.R11.4: CROP HARVEST MONITORING USING POLARIMETRIC SAR PARAMETERS
         Mehdi Hosseini; University of Maryland
         Inbal Becker-Reshef; University of Maryland
         Chris Justice; University of Maryland
MO2.R11.5: A SATELLITE AGNOSTIC APPROACH TO QUANTIFYING HAIL DAMAGE SWATHS ACROSS THE CENTRAL UNITED STATES AND OTHER AGRICULTURAL REGIONS
         Jordan Bell; NASA Marshall Space Flight Center
         Andrew Molthan; NASA Marshall Space Flight Center
         Christopher Hain; NASA Marshall Space Flight Center
         Franz Meyer; University of Alaska Fairbanks
         Christopher Schultz; NASA Marshall Space Flight Center
         Nicholas Elmer; NASA Marshall Space Flight Center
MO2.R11.6: WINTER WHEAT MAPPING FROM LANDSAT NDVI TIME SERIES DATA USING TIME-WEIGHTED DYNAMIC TIME WARPING AND PHENOLOGICAL RULES
         Chang Qu; Peking University
         Peijun Li; Peking University
MO2.R11.7: CROPNET: DEEP SPATIAL-TEMPORAL-SPECTRAL FEATURE LEARNING NETWORK FOR CROP CLASSIFICATION FROM TIME-SERIES MULTI-SPECTRAL IMAGES
         Chang Luo; Wuhan University
         Shiyao Meng; Wuhan University
         Xin Hu; Wuhan University
         Xinyu Wang; Wuhan University
         Yanfei Zhong; Wuhan University
MO2.R11.8: AN ADAPTIVE NEURO-FUZZY APPROACH FOR DECOMPOSITION OF MIXED PIXELS TO IMPROVE CROP AREA ESTIMATION USING SATELLITE IMAGES
         Arun Kant Dwivedi; Indian Institute of Technology Roorkee
         Sudip Roy; Indian Institute of Technology Roorkee
         Dharmendra Singh; Indian Institute of Technology Roorkee
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
         Abel Soares; University of Minho
         Luís Pádua; University of Trás-os-Montes e Alto Douro
         Nathalie Guimarães; University of Trás-os-Montes e Alto Douro
         Tatiana Pinho; University of Trás-os-Montes e Alto Douro
         Joaquim J. Sousa; University of Trás-os-Montes e Alto Douro
         Raul Morais; University of Trás-os-Montes e Alto Douro
         Emanuel Peres; University of Trás-os-Montes e Alto Douro
MO2.R11.10: WEED AND CROP DISCRIMINATION USING U-NET LEARNING
         Leila Hashemi-Beni; North Carolina A&T State University
         Asmamaw Gebrehiwot; North Carolina A&T State University
         Ali Karimoddini ; North Carolina A&T State University
         Abolghasem Shahbazi; North Carolina A&T State University
MO2.R11.11: RESEARCH OF METHANE EMISSIONS BASED ON BIOGEOCHEMICAL MODEL AND ACTIVE MICROWAVE MEASUREMENT
         Longfei Tan; University of Electronic Science and Technology of China
         Yuxia Li; University of Electronic Science and Technology of China
         Yang Zhang; North China Power Engineering Co., Ltd. of China
         Ting Yang; West China School of Public Health and West China Fourth Hospital, Sichuan University
         Fanghong Xiao; University of Electronic Science and Technology of China