Forage Biomass Estimation Using Sentinel-2 Imagery at High Latitudes

• Published in: Remote Sensing
• Main Authors: Peng, Junxiang, Zeiner, Niklas, Parsons, David, Féret, Jean-Baptiste, Söderström, Mats, Morel, Julien
• Other Authors: Swedish University of Agricultural Sciences (SLU), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2023
• Subjects: Forage; Dry matter yield; Machine learning regression; Sentinel-2; High latitudes; [SDE]Environmental Sciences; Nash; Sutcliffe; Northern Sweden
• Online Access: https://hal.inrae.fr/hal-04118354; https://hal.inrae.fr/hal-04118354/document; https://hal.inrae.fr/hal-04118354/file/Peng%20J-2023.pdf; https://doi.org/10.3390/rs15092350

International audience Forages are the most important kind of crops at high latitudes and are the main feeding source for ruminant-based dairy industries. Maximizing the economic and ecological performances of farms and, to some extent, of the meat and dairy sectors require adequate and timely suppo...