Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring
2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)(2017)
摘要
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.
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关键词
coherence,Sentinel-1,land-cover,vegetation
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