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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

WE4.O-7.4

Identification of rice fields in the Lombardy region of Italy based on time series of Sentinel-1 data

David Marzi, Cristian Garau, Fabio Dell'Acqua, University of Pavia, Italy
Session:
Sentinel-1/2 Multi-Temporal Analysis and Change Detection
Track:
Invited Sessions
Presentation Time:
Wed, 14 Jul, 15:25-15:40 (UTC)
Wed, 14 Jul, 17:25-17:40 Central Europe Summer Time (UTC +2)
Wed, 14 Jul, 23:25-23:40 China Standard Time (UTC +8)
Wed, 14 Jul, 11:25-11:40 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Xavier Neyt, Royal Military Academy and Eric Hallot, Institut Scientifique de Service Public
Session Manager:
Shan Wei
Presentation
Discussion
Resources
Session WE4.O-7
WE4.O-7.1: URBAN SITES CHANGE DETECTION BY MEANS OF SENTINEL-1 AND SENTINEL-2 TIME SERIES
Mattia Stasolla, Royal Military Academy, Belgium; Sophie Petit, Coraline Wyard, Gérard Swinnen, Institut Scientifique de Service Public, Belgium; Xavier Neyt, Royal Military Academy, Belgium; Eric Hallot, Institut Scientifique de Service Public, Belgium
WE4.O-7.3: ASSIMILATION OF SENTINEL-1 CHANGE DETECTION IN THE AQUACROP MODEL: CASE OF SUGARCANE
Joost Wellens, University of Liège, Belgium; Mattia Stasolla, Royal Military Academy, Belgium; Mor Talla Sall, Compagnie Sucrière Sénégalaise, Senegal; Bernard Tychon, University of Liège, Belgium; Xavier Neyt, Royal Military Academy, Belgium
WE4.O-7.4: Identification of rice fields in the Lombardy region of Italy based on time series of Sentinel-1 data
David Marzi, Cristian Garau, Fabio Dell'Acqua, University of Pavia, Italy
WE4.O-7.5: Channel-based attention for land cover classification using Sentinel-2 time series
Hermann Courteille, Alexandre Benoit, Nicolas Méger, Université Savoie Mont Blanc, France; Dino Ienco, Université Montpellier INRAE, France; Abdourrahmane Atto, Université Savoie Mont Blanc, France
WE4.O-7.6: Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning
Emanuele Dalsasso, Inès Meraoumia, Télécom Paris, France; Loïc Denis, Université de Lyon, Université Jean-Monnet Saint-Etienne, France; Florence Tupin, Télécom Paris, France

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