Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring

Abstract : This paper presents the main concepts and the initial analysis of the ESA SEOM project SInCohMap 'EXPLOITATION OF SENTINEL-1 INTERFEROMETRIC COHERENCE FOR LAND COVER AND VEGETATION MAPPING'. The project evaluates the performance of using the interferometric coherence of S-1 time series for land cover and vegetation mapping. One of the main objectives of the project is to quantify the impact in using S-1 InSAR (Interferometric Synthetic Aperture Radar) data relative to traditional land cover and vegetation mapping using optical data (especially Sentinel-2, hereafter named S-2) or SAR-based (Synthetic Aperture Radar) approaches. In this framework, a Round-Robin consultation is used to assess the performances of the different classification methodologies. © 2017 IEEE.
Type de document :
Communication dans un congrès
9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017, Jun 2017, Bruges, Belgium. 〈10.1109/Multi-Temp.2017.8035240〉
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01637410
Contributeur : Laurent Jonchère <>
Soumis le : vendredi 17 novembre 2017 - 15:24:35
Dernière modification le : vendredi 16 novembre 2018 - 01:27:27

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C. Notarnicola, A. Jacob, R. Sonnenschein, J.J. Mallorqui, C. López-Martinez, et al.. Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring. 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017, Jun 2017, Bruges, Belgium. 〈10.1109/Multi-Temp.2017.8035240〉. 〈hal-01637410〉

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