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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU4.O-17.4

CROP CLASSIFICATION BASED ON IMAGE SEGMENTATION AND PHENOLOGICAL SIMILARITY USING SAR IMAGERY

Lin Chen, Gangqiang An, Minfeng Xin, Gengke Lai, University of Electronic Science and Technology of China, China
Session:
Crop Mapping and Monitoring using SAR I
Track:
Land Applications
Presentation Time:
Tue, 13 Jul, 15:25-15:40 (UTC)
Tue, 13 Jul, 17:25-17:40 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 23:25-23:40 China Standard Time (UTC +8)
Tue, 13 Jul, 11:25-11:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Michael Schlund, Faculty of Geo-information Science and Earth Observation (ITC) and Heather McNairn, Agriculture and Agri-Food Canada
Session Manager:
Vaibhav Rajan
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Session TU4.O-17
TU4.O-17.1: MULTI-FREQUENCY SAR TO MONITOR AGRICULTURE IN THE AMERICAS
Heather McNairn, Laura Dingle Robertson, Dole Tsan, Xianfeng Jiao, Andrew Davidson`, Agriculture and Agri-Food Canada, Canada
TU4.O-17.2: POTENTIAL OF SENTINEL-1 TIME SERIES DATA FOR THE ESTIMATION OF SEASON LENGTH IN WINTER WHEAT PHENOLOGY
Michael Schlund, Faculty of Geo-information Science and Earth Observation (ITC), Netherlands; Felix Lobert, Stefan Erasmi, Thünen-Institute of Farm Economics, Germany
TU4.O-17.3: MONITORING WHEAT CROP GROWTH USING A NEW VEGETATION INDEX FROM SENTINEL-1 GRD SAR DATA
Narayanarao Bhogapurapu, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, Rao Y. S., Indian Institute of Technology Bombay, India
TU4.O-17.4: CROP CLASSIFICATION BASED ON IMAGE SEGMENTATION AND PHENOLOGICAL SIMILARITY USING SAR IMAGERY
Lin Chen, Gangqiang An, Minfeng Xin, Gengke Lai, University of Electronic Science and Technology of China, China
TU4.O-17.5: ENSEMBLE LEARNING FOR CROP MONITORING FROM MULTITEMPORAL OPTICAL AND SYNTHETIC APERTURE RADAR EARTH OBSERVATIONS
Hazhir Bahrami, University of Tehran, Iran; Saeid Homayouni, Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, Canada; Masoud Mahdianpari, C-CORE and Memorial University of Newfoundland, Canada; Abdolreza Safari, University of Tehran, Iran
TU4.O-17.6: CROP CLASSIFICATION AND BIOMASS ESTIMATE USING COSMO-SKYMED AND SENTINEL-1 DATA IN AN AGRICULTURAL TEST AREA IN CENTRAL ITALY
Alessandro Lapini, Giacomo Fontanelli, Fabrizio Baroni, Simonetta Paloscia, Simone Pettinato, Simone Pilia, Giuliano Ramat, Emanuele Santi, Leonardo Santurri, CNR-IFAC, Italy; Francesca Cigna, Deodato Tapete, Italian Space Agency (ASI), Italy

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