Assessing hypertemporal SENTINEL-1 COHERENCE maps for LAND COVER monitoring

C. Notarnicola (1) , A. Jacob (1) , R. Sonnenschein (1) , J.J. Mallorqui (2) , C. López-Martinez (3) , D. Ziolkowski , A. Hoscilo , K. Dabrowska-Zielinska , Z. Bochenek , E. Pottier (4) , M. Lavalle (5) , J.M. Lopez-Sanchez , M. Engdahl (6) , F. Vicente-Guijalba , J. Duro

1 European Academy-EURAC, Institute for Applied Remote Sensing
2 UPC - Universitat Politècnica de Catalunya [Barcelona]
3 LIST - Luxembourg Institute of Science and Technology
4 IETR - Institut d'Électronique et des Technologies du numéRique
5 JPL - Jet Propulsion Laboratory
6 Department ESA/ESRIN

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.

Keywords: Coherence; Land-cover; Sentinel-1; Vegetation

Domains: Computer Science [cs]; Networking and Internet Architecture [cs.NI]; Engineering Sciences [physics]; Electronics

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⟩