Millet, PaulineHuwald, HendrikWeijs, Steven Vincent2021-04-272021-04-272021-04-27201810.29007/93ghhttps://infoscience.epfl.ch/handle/20.500.14299/177668This study details a procedure to derive high resolution snow cover information using low-cost autonomous cameras. Images from time lapse photography of target areas are used to obtain temporally resolved binary snow-covered area information. Various image processing steps, such as distortion correction, alignment, projection using the Digital Elevation Model (DEM), and classification using clustering are described. Several innovations, such as matching the mountain silhouette with the DEM, and application of specific filters are described to make this terrestrial remote sensing method generally applicable to derive valuable snow information.Clusteringimage processingMappingsnow covered areaSnow monitoringtime lapse photostext::conference output::conference proceedings::conference paper