Work

Mapping intra-annual integrated crop-livestock systems in Mato Grosso using deep learning and MODIS time series

Year: 2025

Type: conference-paper

DOI: 10.1117/12.3069719

Authors: Judith Nabec, Charlotte Pelletier, Patrick Küchler, Margareth Simoes, Agnès Bégué, Damien Arvor

Institutions: Centre National de la Recherche Scientifique, Littoral, Environnement, Télédétection, Géomatique, Université de Rennes, Université de Bretagne Sud, Institut de Recherche en Informatique et Systèmes Aléatoires, Universidade do Estado do Rio de Janeiro, Brazilian Agricultural Research Corporation, Centre de Coopération Internationale en Recherche Agronomique pour le Développement, Territoires, Environnement, Télédétection et Information Spatiale

Language: English

Topic: Remote Sensing in Agriculture

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Life on land, Zero hunger

Open Access status: closed

Funder: Agence Nationale de la Recherche

Awards: Integrating Earth Obsertation data in spatial data infrastructures, DECOL: DEep COntinual Learning from Satellite Image Time Series, Soil ecosystem services under sustainable intensi?cation of agriculture: looking for innovative mapping and monitoring at multiple scales

OpenAlex ID: W4415641028

FWCI: 6.974

Cites:

Cited by: 1

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