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3 results for “fractional snow covered area”
Fractional Snow Covered Area at Ny-Ålesund (Svalbard, Norway)
<p>The gridded datasets is a ensembled product obtained since 2020 processing imagery acquired by different time-lapse cameras located at the Zeppelin Observatory, at the Gruvebadet Snow Research Site and at the Amundsen-Nobile Climate Change Tower. </p>
Fractional Snow Covered Area at Ny-Ålesund (Svalbard, Norway) 2015-2019
<p>The produced dataset (in netCDF v4 format) contains the estimation of the Factional Snow Cover (FSC) in different sites located in Svalbard islands. We considered areas that complete the already available datasets and we focused the attention to the Ny-Ålesund area (Svalbard - Norway) (78.917° N, 11.933° E) where different facilities are available for supporting the use of terrestrial photography. One asset is the Zeppelin observatory, located on a panoramic spot where cameras are operating since 2000, and one is the Climate Change Tower (CCT) where we deployed a camera in 2018 (Figure 1). While the Zeppelin camera, operated by the Norwegian Polar Institute, offers a long time-series coupled with a pan-tilt-zoom device (4 different views daily), the CCT device was installed in order to cover the hidden side of the coastal plain not visible from the observatory. Furthermore, the CCT camera provided highly spatial and time resolved (hourly) images that were also below the cloud layer.</p>
Land Cover Classification, Snow Cover, and Fractional Snow-Covered Area Maps from Maxar WorldView Satellite Images V001
This data set includes: (1) fine-scale snow and land cover maps from two mountainous study sites in the Western U.S., produced using machine-learning models trained to extract land cover data from WorldView-2 and WorldView-3 stereo panchromatic and multispectral images; (2) binary snow maps derived from the land cover maps; and (3) 30 m and 465 m fractional snow-covered area (fSCA) maps, produced via downsampling of the binary snow maps. The land cover classification maps feature between three and six classes common to mountainous regions and integral for accurate stereo snow depth mapping: illuminated snow, shaded snow, vegetation, exposed surfaces, surface water, and clouds. Also included are Landsat and MODSCAG fSCA map products. The source imagery for these data are the Maxar WorldView-2 and Maxar WorldView-3 Level-1B 8-band multispectral images, orthorectified and converted to top-of-atmosphere reflectance. These Level-1B images are available under the NGA NextView/EnhancedView license.
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