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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-21.7

AUTOMATIC DETECTION OF ANOMALOUS TIME TRENDS FROM SATELLITE IMAGE SERIES TO SUPPORT AGRICULTURAL MONITORING

Corrado Avolio, Alessia Tricomi, Massimo Zavagli, Laura De Vendictis, Fabio Volpe, Mario Costantini, e-GEOS - an Italian Space Agency and Telespazio company, Italy
Session:
Agriculture+Machine Learning
Track:
Land Applications
Presentation Time:
Tue, 13 Jul, 11:30-11:35 (UTC)
Tue, 13 Jul, 13:30-13:35 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:30-19:35 China Standard Time (UTC +8)
Tue, 13 Jul, 07:30-07:35 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Sara Perez-Carabaza, University College Dublin and Corrado Avolio, e-GEOS - an Italian Space Agency and Telespazio company
Session Manager:
Petia Malasheva
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Session TU2.MM-21
TU2.MM-21.1: Crop Classification from Sentinel-2 Time Series with Temporal Convolutional Neural Networks
Sara Perez-Carabaza, University College Dublin, Ireland; Vasileios Syrris, Pieter Kempeneers, Pierre Soille, European Commission, Joint Research Centre, Italy
TU2.MM-21.2: SEGMENTATION AND CLASSIFICATION OF UAV-BASED ORTHOPHOTO OF WATERMELON FIELD USING SUPPORT VECTOR MACHINE TECHNIQUE
Zixun Lin, Nova Doyog, Shin-Fu Huang, Chinsu Lin, National Chiayi University, Taiwan
TU2.MM-21.3: PLANT COUNTS IN DENSE RED BEET CROPS: A COMPUTER VISION APPROACH
Amirhossein Hassanzadeh, Jan van Aardt, Rochester Institute of Technology, United States; Julie Kikkert, Cornell Cooperative Extension, United States; Sarah Pethybridge, Sean Murphy, Cornell University, United States; Daniel Cross, Love Beets Production LLC, United States
TU2.MM-21.4: COCONUT TREES DETECTION ON THE TENARUNGA USING HIGH-RESOLUTION SATELLITE IMAGES AND DEEP LEARNING
Juepeng Zheng, Tsinghua University, China; Wenzhao Wu, National Supercomputing Center in Wuxi, China; Le Yu, Haohuan Fu, Tsinghua University, China
TU2.MM-21.5: Palm Trees Crown Detection and Delineation From Very High Spatial Resolution Images Using Deep Neural Network (U-Net)
Rhinane Hassan, Hassan II University of Casablanca, Morocco; Bannari Abderazzak, Arabian Gulf University, Canada; Maanan Mehdi, Aderdour Nacer, Hassan II University of Casablanca, Morocco
TU2.MM-21.6: AUTOMATIC CLASSIFICATION OF AGRICULTURAL SUMMER CROPS IN URUGUAY
Adrián Cal, Instituto Nacional de Investigación Agropecuaria, Uruguay; Javier Preciozzi, Pablo Musé, Universidad de la República, Facultad de Ingeniería, Uruguay
TU2.MM-21.7: AUTOMATIC DETECTION OF ANOMALOUS TIME TRENDS FROM SATELLITE IMAGE SERIES TO SUPPORT AGRICULTURAL MONITORING
Corrado Avolio, Alessia Tricomi, Massimo Zavagli, Laura De Vendictis, Fabio Volpe, Mario Costantini, e-GEOS - an Italian Space Agency and Telespazio company, Italy
TU2.MM-21.8: STUDY ON SPATIAL AUTO-REGRESSION WITHIN SOIL PHYSICAL-CHEMICAL INDICATORS IN TYPICAL KARST DEMONSTRATION ZONE
Hui Yin, Jiasheng Chen, Huizhou University, China; Zhongcheng Jiang, Chinese Academy of Geological Sciences, China

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