Evaluation of the potentiality of polarimetric C- and L-SAR time-series images for the identification of winter land-use

Denize Julien, Hubert-Moy Laurence, Corgne Samuel, Betbeder Julie, Pottier Eric. 2018. Evaluation of the potentiality of polarimetric C- and L-SAR time-series images for the identification of winter land-use. In : IGARSS 2018 "Observing, understanding,and forecasting the dynamics of our planet. IEEE. Valencia : IEEE, 4471-4474. ISBN 978-1-5386-7150-4 IGARSS 2018, Valencia, Espagne, 22 Juillet 2018/27 Juillet 2018.

Résumé : Land cover and land use monitoring, particularly during winter season, is still a major environmental challenge. Indeed, the presence of a vegetation cover, the dates of sowing, the length of the intercrop period, and land use types have an impact on pollutant transport to water bodies. The objective of this study was to evaluate the potentiality of polarimetric C- and L-SAR time-series to improve the identification and characterization of vegetation cover during winter season in a 130 km² area. Alos-2, Radarsat-2 and Sentinel-1 time-series were classified using RF algorithm. The best results were obtained from Radarsat-2 polarimetric images acquired between August 2016 and May 2017, with an overall accuracy of ~ 80%.

Auteurs et affiliations

• Denize Julien, Université de Rennes 2 (FRA)
• Hubert-Moy Laurence, Université de Haute-Bretagne (FRA)
• Corgne Samuel, Université de Rennes 2 (FRA)
• Betbeder Julie, CIRAD-ES-UPR BSef (FRA)
• Pottier Eric, Université de Rennes I (FRA)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/590366/)

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