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FR2.L5: Computational Techniques for Crop Monitoring and Classification

Session Type: Oral

Time: Friday, July 15, 10:30 - 12:10

Location: Room 301A+B

Session Chairs: Esra Erten, Istanbul Technical University and Ramses Molijin, Delft University of Technology

FR2.L5.1: COMBINING CROP PROPORTION PHENOLOGY INDEX MODELS WITH MACHINE LEARNING ALGORITHMS FOR ESTIMATING WINTER WHEAT AREAS

Le Li; Beijing Normal University

Yaozhong Pan; Beijing Normal University

Qinchuan Xin; Sun Yat-sen University

FR2.L5.2: SUGARCANE GROWTH MONITORING THROUGH SPATIAL CLUSTER AND TEMPORAL TREND ANALYSIS OF RADAR AND OPTICAL REMOTE SENSING IMAGES

Ramses Molijn; Delft University of Technology

Lorenzo Iannini; Delft University of Technology

Ramon Hanssen; Delft University of Technology

Jansle Vieira Rocha; UniCamp

FR2.L5.3: ALONG THE SEASON CROP CLASSIFICATION IN UKRAINE BASED ON TIME SERIES OF OPTICAL AND SAR IMAGES USING ENSEMBLE OF NEURAL NETWORK CLASSIFIERS

Nataliia Kussul; Space Research Institute NASU-SSAU

Mykola Lavreniuk; Space Research Institute NASU-SSAU

Andrii Shelestov; Space Research Institute NASU-SSAU

Bohdan Yailymov; Space Research Institute NASU-SSAU

FR2.L5.4: INTEGRATION OF REMOTE SENSING DERIVED PARAMETERS IN A CROP MODEL: CASE OF HAY

Mohammad El Hajj; Irstea (National Research Institute of Science and Technology for Environment and Agriculture)

Nicolas Baghdadi; Irstea (National Research Institute of Science and Technology for Environment and Agriculture)

Bruno Cheviron; Irstea (National Research Institute of Science and Technology for Environment and Agriculture)

Gilles Belaud; SupAgro

Mehrez Zribi; CNRS, CESBIO (Centre National d'Etude Spatiale,Centre d'Etudes Spatiales de la BIOsphère)

FR2.L5.5: CHARACTERIZATION OF THE PERIODIC SURFACE IN AGRICUTURE BY THE USE OF POLARIMETRIC SIGNATURES

Lingli Zhao; Wuhan University

Jie Yang; Wuhan University

Pingxiang Li; Wuhan University

Jinqi Zhao; Wuhan University

Jing Zhang; 92857