Improved subpixel monitoring of seasonal snow cover: a case study in the AlpsReport as inadecuate




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1 GIPSA-CICS - CICS GIPSA-DIS - Département Images et Signal 2 GIPSA-SIGMAPHY - SIGMAPHY GIPSA-DIS - Département Images et Signal 3 Météorologie de Montagne et Avalanches CNRM - Centre national de recherches météorologiques 4 LTHE - Laboratoire d-étude des transferts en hydrologie et environnement 5 University of Iceland Reykjavik

Abstract : The snow coverage area SCA is one of the most important parameters for cryospheric studies. The use of remote sensing imagery can complement field measurements by providing means to derive SCA with a high temporal frequency and covering large areas. Images acquired by the Moderate Resolution Imaging Spectroradiometer MODIS are perhaps the most widely used data to retrieve SCA maps. Some MODIS derived algorithms are available for subpixel SCA estimation, as MODSCAG and MODImLab. Both algorithms make use of spectral unmixing techniques using a fixed set of snow, rocks and other materials spectra endmembers. We aim to improve the performance of a modified version of MODIm-Lab algorithm by exploring advanced spectral unmixing techniques. Furthermore, we make use of endmember induction algorithms to obtain the endmembers from the data itself instead of using a fixed spectral library. We validate the proposed approach on a case study in the mountainous region of the Alps.

Keywords : Snow coverage area SCA Alps MODIS spectral unmixing





Author: Miguel Angel Veganzones - Mauro Dalla Mura - Marie Dumont - Isabella Zin - Jocelyn Chanussot -

Source: https://hal.archives-ouvertes.fr/



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