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

Abstract : 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 km (2) 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 similar to 80%.
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-02018922
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Submitted on : Thursday, February 14, 2019 - 11:26:07 AM
Last modification on : Thursday, June 20, 2019 - 3:25:33 PM

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Julien Denize, Laurence Hubert-Moy, Samuel Corgne, Julie Betbeder, E. Pottier. Evaluation of the potentiality of polarimetric C- and L-SAR timeseries images for the identification of winter land-use. 38th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2018, Valencia, Spain. ⟨10.1109/igarss.2018.8517904⟩. ⟨hal-02018922⟩

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