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5 results for “Snow mask”
Snow-Cloud Validation Masks for Multispectral Satellite Data.
<p>Geotiffs of manually validated snow, cloud, & clear-sky snow free pixels for 13 Landsat 8 images. These acquisitions are of mid-latitude mountainous regions that contain both snow and cloud cover. Four spectral libraries of snow and cloud are also provided. These are the snow and cloud spectra extracted from both these 13 scenes and the 13 L8 SPARCS Cloud Validation Masks that contained both snow and cloud. 1&2.) Snow and cloud top-of-atmosphere reflectance for the eight Landsat 8 OLI 30 meter optical bands, aggregated from the 26 scenes. 3&4.) The top-of-atmosphere reflectance for the eight Landsat 8 OLI 30 meter optical bands of all snow misidentified as cloud and cloud misidentified as snow by CFMASK, the cloud mask that ships in the BQA file of Landsat 8 Collection 1.</p>
Data of LAI-L20C in Vegetation masking effect on future warming and snow albedo feedback in a boreal forest region of northern Eurasia according to MIROC-ESM
<p>Data of LAI-L20C experiment in the research paper: Vegetation masking effect on future warming and snow albedo feedback in a boreal forest region of northern Eurasia according to MIROC-ESM.</p> <p>The paper was submitted to JGR-Atmosphere.</p> <p>Variables are limited to those used in the paper.</p> <ul> <li>snow water equivalent (swe)</li> <li>snow cover fraction (snc)</li> <li>clear-sky downward shortwave radiation at surface (rsdscs)</li> <li>clear-sky upward shortwave radiation at surface (rsuscs)</li> <li>surface air temperature (tas)</li> </ul> <p>See the paper for the detail.</p>
Snow Mask Dataset
<p>Snow masks are black and white images of mountains, where the white pixeled areas denote snow and the black eras no-snow.</p> <p>The dataset contains:</p> <ul> <li>A set of snow mask images</li> <li>A CSV file containing the meta-data of the images, the meta-data includes latitude, longitude and date. </li> </ul> <p>THIS WORK IS SHARED UNDER THE FOLLOWING LICENSE CREATIVE COMMONS ATTRIBUTION-SHAREALIKE 4.0 INTERNATIONAL (CC BY-SA 4.0) <a href="https://creativecommons.org/licenses/by-sa/4.0/">https://creativecommons.org/licenses/by-sa/4.0/</a></p>
Viewable Snow Covered Area Validation Masks over Rugged and Forested Terrain
<p>These data are maps of viewable snow cover generated from panchromatically sharpened cloud-free WorldView-2 and -3 data within 2 days of a Landsat 8 OLI acquisition or near-nadir MODIS acquisition. The spatial resolution of these validation data ranges from 0.34 m to 0.55 m, depending on the view angle of WorldView. ValKey.csv shows the list of validation dates and the corresponding Landsat 8 OLI and MODIS imagery. Validation images from December to June were selected to account for variability in illumination conditions, snow cover, and snow albedo. The imagery spans diverse locations across California’s Sierra Nevada that represent the heavily forested western slope, higher elevation regions, and drier eastern slopes. The WorldView images range from well illuminated alpine scenes above the tree line in June to heavily shadowed scenes below the tree line in December. The snow-covered WorldView pixels are assumed to be pure endmembers of 100% snow, which are then coarsened to Landsat or MODIS spatial resolutions and provided here as geotiffs. Neither WorldView, Landsat, nor MODIS can see through thick tree canopies, so the data is comprised of snow that an optical sensor identifies. Complete methods used to generate the dataset are available in the companion publication: tbd</p> <p>Binary snow cover maps at the native worldview resolution are unsigned 8 bit integers with fill pixels set to zero, snow pixels set to one, and snow free pixels set to two.</p> <p>Fill Pixels [0]</p> <p>Snow Covered Pixels [1]</p> <p>Snow Free Pixels [2]</p> <p>Fractional snow covered area geotiffs in the projections and at the spatial resolution of Landsat 8 and MODIS products are signed 16-bit integers with a fill value of -32768. The divisor and offset are 1000 & 0 respectively.</p> <p>Fractional snow covered area [0-1000)] (divisor of 1000 and offset of 0 for measurement range of 0-1)</p> <p>Fill Pixels [-32768]</p>
Global Seasonal Mountain Snow Mask from MODIS MOD10A2
<p>Seasonal Mountain Snow (SMS) mask derived from MODIS MOD10A2 snow cover extent and GTOPO30 digital elevation model produced at 30 arcsecond spatial resolution.</p> <p>Three datasets are provided: the Seasonal Mountain Snow mask (MODIS_mtnsnow_classes), a seasonal snow cover classification (MODIS_snow_classes), and cool-season cloud percentages (MODIS_clouds). The classification systems are as follows:</p> <p>MODIS_snow_classes:</p> <ul> <li>0: Little-to-no snow</li> <li>1: Indeterminate due to clouds</li> <li>2: Ephemeral snow</li> <li>3: Seasonal snow</li> </ul> <p>MODIS_mtnsnow_classes:</p> <ul> <li>0: Mountains with little-to-no snow</li> <li>1: Indeterminate due to clouds</li> <li>2: Mountains with ephemeral snow</li> <li>3: Mountains with seasonal snow</li> </ul> <p>MODIS_clouds</p> <ul> <li>0: < 5% of clouds during the cool season (defined Oct.-Mar. for Northern Hemisphere and Apr.-Sep. for Southern Hemisphere)</li> <li>1: 5% cool-season days with cloud cover</li> <li>2: 10% cool-season days with cloud cover</li> <li>3: 20% cool-season days with cloud cover</li> <li>4: 30% cool-season days with cloud cover</li> <li>5: 40% cool-season days with cloud cover</li> <li>6: 50% cool-season days with cloud cover</li> </ul> <p> </p> <p>For manuscript "Characterizing biases in mountain snow accumulation from global datasets" submitted to WRR</p>
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