Evaluation of using sentinel-1 and -2 time-series to identifywinter land use in agricultural landscapes

J. Denize 1 L. Hubert-Moy 2 J. Betbeder 3 S. Corgne 2 J. Baudry 4 E. Pottier 1
1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 LETG - Nantes - Littoral, Environnement, Télédétection, Géomatique
3 CIRAD - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
4 UMR BAGAP - Biodiversité agroécologie et aménagement du paysage
Keywords : Earth observing sensors Multi-temporal classification Optical and SAR time-series Agricultural monitoring Random Forest algorithm Support Vector Machine algorithm
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Journal articles
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-02042533
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, February 20, 2019 - 2:29:04 PM
Last modification on : Friday, October 25, 2019 - 11:40:03 AM

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UNIV-RENNES1 | IETR | UNIV-BREST | INRA | LETG-GEOLITTOMER | UNAM | CIRAD | PSL | UR1-UFR-ISTIC | UNIV-RENNES2 | UR2-HB | IETR-SHINE | COMUE-NORMANDIE | UNIV-NANTES | UNIV-RENNES | UNICAEN | LETG | INSA-GROUPE | EPHE

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J. Denize, L. Hubert-Moy, J. Betbeder, S. Corgne, J. Baudry, et al.. Evaluation of using sentinel-1 and -2 time-series to identifywinter land use in agricultural landscapes. Remote Sensing, 2019, 11 (1), pp.37. ⟨10.3390/rs11010037⟩. ⟨hal-02042533⟩

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