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We mosaicked twelve LandSat-8 OLI satellite images taken during the summer of 2014, which were used in an object based image analysis (OBIA) to classify the landscape. We mapped seventeen of the most dominant geomorphic land cover classes on the Alaskan Coastal Plain (ACP): **value** | **class name** 1 | Coastal saline waters 2 | Large lakes 3 | Medium lakes 4 | Small lakes 5 | Ponds 6 | Rivers 7 | Nonpatterned Drained Thaw Lake Basins 8 | Coalescent low-center polygons 9 | Low-center polygons 10 | Flat-center polygons 11 | High-center polygons 12 | Drained slope 13 | Sandy barrens 14 | Sand dunes 15 | Riparian corridors 16 | Ice 17 | Urban (i.e. towns and roads)
Categories: Data;
Tags: Alaska CASC,
Data Visualization & Tools,
IEM,
IEM-Input,
Science Tools for Managers,
Normalized difference vegetation index (NDVI) trend map was computed for the Alaskan Arctic Coastal Plain between 1999 and 2014. The decadal trend of each pixel was computed using 40-110 individual Landsat (TM, ETM+, OLI) satellite images acquired during July or August.
This elevation data was obtained from the PRISM climate group, distributed by Climate Source. From personal communication with Wayne Gibson, it was "based off of GTOPO30 data, and then Barnes filtered to the desired resolution" Wayne Gibson PRISM Group Northwest Alliance for Computational Science & Engineering (NACSE) 2000 Kelley Engineering Center Oregon State University Corvallis, Oregon, 97331-5501 Oregon State University Voice: (541) 737-2531 http://www.prism.oregonstate.edu/ http://www.climatesource.com/ http://www1.gsi.go.jp/geowww/globalmap-gsi/gtopo30/gtopo30.html SNAP resampled the 2km product to the 1km model resolution through bilinear interpolation. Spatial resolution 1000 meters Credits The following...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: IEM,
IEM-Output,
annual,
climate,
climatologyMeteorologyAtmosphere,
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