WebJul 16, 2024 · However, to delineate snow lines as we propose, a binary (snow/nonsnow) pixel classification is eventually inevitable, that is, to determine the snow cover outline. In this regard, for vegetation-free areas, NDSI, and spectral unmixing (using 50% fSCA threshold for snow/nonsnow pixel classification) yield similar results (Rittger et al., 2013 ). WebOverview. This data set provides maps of snow cover and sea ice for the Northern Hemisphere from February 1997 to the present from the United States National Ice …
Mapping snow cover in forests using optical remote sensing, …
WebJan 1, 2024 · MODIS fractional (FSC) and binary (BSC) snow-cover data are important for obtaining accurate spatiotemporal snow-cover information for the Tibetan Plateau (TP) … WebThe current VIIRS snow product is binary, therefore to produce MODIS binary snow maps, the MODIS snow cover fraction threshold value of 30% was determined by examining snow cover area at four different thresholds (20%, 30%, 40% and 50%) and comparing them with the VIIRS binary snow map. Overall VIIRS appears to map more fit to resume
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WebFeb 8, 2024 · High-spatial-resolution (3 m) snow depth data derived from airborne light detection and ranging (lidar) sensors, which can penetrate forest canopies, are used in this work to create snow cover maps to … WebFeb 26, 2024 · Binary Snow Cover Properties Identifies snow on the ground (yes/no) Operational from VIIRS SNPP, NOAA-20 Accuracy: > 90% Coverage: Global Gridded maps produced offline at ~ 1 km Limitations Gaps in the coverage due to clouds, polar night Critically dependent on the cloud mask accuracy Applications Snow analysis Models WebEnterprise Binary Snow Map Product. Version 1.0 . June 2024 _____ NOAA Satellite Products and Services Review Board ... TITLE: ALGORITHM THEORETICAL BASIS DOCUMENT: ENTERPRISE BINARY SNOW COVER PRODUCT . AUTHOR: Peter Romanov (NOAA-CREST, City University of New York) NOAA Satellite Products and … fit to rent