Binary snow cover
WebJun 15, 2024 · In this study, binary snow cover using RF model (RF-BSC, 0 indicating “snow-free” and 1 indicating “snow-covered”) are derived from input variables composed of MODIS surface reflectance bands 1–7 and ground BSC, taking into account both topography and forest cover (Liang et al., 2024; Liu et al., 2024). A set of Mtry values … WebApr 11, 2024 · The NDSI variation depends on illuminating-viewing geometry and snow physical properties, including equivalent grain size (EGS), snow depth (SD) and impurity concentration, as well as fractional snow cover (FSC) within a mixed pixel; however, it is still not fully understood.
Binary snow cover
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WebApr 19, 2024 · The pixels of cloud mask were identified by the MODIS and VIIRS cloud-masking algorithms, and labeled in the snow cover products with the value of 250, and … WebBinary snow maps and fractional snow cover data are provided routinely from MODIS (Moderate Resolution Imaging Spectroradiometer). This paper investigates how the wide observation angles of MODIS influence the current snow mapping algorithm in forested areas. Theoretical modeling results indicate that large view zenith angles (VZA) can lead …
WebMar 26, 2024 · Very-high-resolution (VHR) optical imaging satellites can offer precise, accurate, and direct measurements of snow-covered areas (SCA) with sub-meter to meter-scale resolution in regions of complex land cover and terrain. We explore the potential of Maxar WorldView-2 and WorldView-3 in-track stereo images (WV) for land and snow … WebJan 12, 2024 · The snow products from AMSR2 include binary snow cover (presence/absence of snow), snow depth, and snow water equivalent. AMSR2 sea ice products are sea ice concentration (SIC), multi-year ice …
WebThis global Level-3 (L3) data set provides the maximum snow cover extent observed over an eight-day period within 10° x 10° MODIS sinusoidal grid tiles. Tiles are generated by compositing 500 m observations from the 'MODIS/Terra Snow Cover Daily L3 Global 500m Grid' data set (DOI:10.5067/MODIS/MOD10A1.061). WebBinary Snow Cover product only. The binary snow map is generated with reflectances and brightness temperatures observed in VIIRS bands I1, I2, I3 and I5. The algorithm to identify snow cover in VIIRS pixels closely follows the technique implemented for mapping snow cover with MODIS data. Snow cover is identified by
WebSep 8, 2024 · Binary classification of snow cover. The unique and spectrally varying reflectance of snow relative to other common earth surface materials forms the basis for …
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 … earth origins women\u0027s shantel sandalWebJan 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) … earth origins women\\u0027s berri casual sandalsWebThe VIIRS Binary Snow Cover algorithm provides discrimination between snow-covered and snow-free land scenes. To derive information on the snow cover it uses VIIRS … ctl 10 clsWebJul 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 ). earth origins women\u0027s slippersWebThis data set contains daily, gridded snow cover and albedo derived from radiance data acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) on board the Terra satellite. ctl1025 batteryWebApr 7, 2024 · Join Binary Lunar on Patreon to get access to this post and more benefits. Skip navigation. Log in . Create on Patreon ... Become a patron. Unlock this post by … ctl-1100xkWebFeb 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 ctl1025f