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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU1.O-8.5

ANNUAL CROP CLASSIFICATION EXPERIMENTS IN PORTUGAL USING SENTINEL-2

Pedro Benevides, Hugo Costa, Francisco D. Moreira, Daniel Moraes, Mário Caetano, Direção-Geral do Território, Portugal
Session:
Crop Mapping and Monitoring using Optical Spaceborne Imagery
Track:
Land Applications
Presentation Time:
Tue, 13 Jul, 09:30-09:45 (UTC)
Tue, 13 Jul, 11:30-11:45 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 17:30-17:45 China Standard Time (UTC +8)
Tue, 13 Jul, 05:30-05:45 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Jochem Verrelst, University of Valencia and Ioannis Papoutsis, National Observatory of Athens
Session Manager:
Anna Mateo-Sanchis
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Session TU1.O-8
TU1.O-8.1: TOWARDS QUANTIFYING NON-PHOTOSYNTHETIC VEGETATION FOR AGRICULTURE USING SPACEBORNE IMAGING SPECTROSCOPY
Katja Berger, Ludwig-Maximilians-Universitaet Muenchen (LMU), Germany; Andrej Halabuk, Slovak Academy of Sciences, Slovakia; Jochem Verrelst, University of Valencia, Spain; Matej Mojses, Katarina Gerhátová, Slovak Academy of Sciences, Slovakia; Giulia Tagliabue, University of Milano - Bicocca, Italy; Matthias Wocher, Tobias Hank, Ludwig-Maximilians-Universitaet Muenchen (LMU), Germany
TU1.O-8.2: OLIVE TREE WATER STRESS DETECTION USING DAILY MULTISPECTRAL IMAGERY
James Brinkhoff, University of New England, Australia; Alex Schultz, NSW Department of Primary Industries, Australia; Luz Angelica Suarez, Andrew Robson, University of New England, Australia
TU1.O-8.3: SEN4AGRINET: A HARMONIZED MULTI-COUNTRY, MULTI-TEMPORAL BENCHMARK DATASET FOR AGRICULTURAL EARTH OBSERVATION MACHINE LEARNING APPLICATIONS
Dimitris Sykas, Ioannis Papoutsis, Dimitrios Zografakis, National Observatory of Athens, Greece
TU1.O-8.4: 3D FULLY CONVOLUTIONAL NEURAL NETWORKS WITH INTERSECTION OVER UNION LOSS FOR CROP MAPPING FROM MULTI-TEMPORAL SATELLITE IMAGES
Sina Mohammadi, Mariana Belgiu, Alfred Stein, University of Twente, Netherlands
TU1.O-8.5: ANNUAL CROP CLASSIFICATION EXPERIMENTS IN PORTUGAL USING SENTINEL-2
Pedro Benevides, Hugo Costa, Francisco D. Moreira, Daniel Moraes, Mário Caetano, Direção-Geral do Território, Portugal
TU1.O-8.6: PHENOLOGY-BASED CLASSIFICATION OF CROP FIELDS USING CROSS-CORRELATION: A CASE STUDY
Roberto Luciani, Giovanni Laneve, Riccardo Orsi, Sapienza University of Rome, Italy

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