Anchorage, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover, 1984-2054 ...
We developed a compound modeling approach that enabled us to refine the available evergreen forest category in the original Arctic Boreal Vulnerability Experiment (ABoVE) dataset (https://daac.ornl.gov/ABOVE/guides/Annual_Landcover_ABoVE.html) to include black and white spruce and hemlock. The data...
| Main Authors: | , , , |
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| Format: | Dataset |
| Language: | English |
| Published: |
NSF Arctic Data Center
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.18739/a2d50g00d https://arcticdata.io/catalog/view/doi:10.18739/A2D50G00D |
| Summary: | We developed a compound modeling approach that enabled us to refine the available evergreen forest category in the original Arctic Boreal Vulnerability Experiment (ABoVE) dataset (https://daac.ornl.gov/ABOVE/guides/Annual_Landcover_ABoVE.html) to include black and white spruce and hemlock. The data is a geotiff (30 meter resolution) with 17 land cover classes. The published paper with the methods can be found at: https://doi.org/10.3390/f14081577. This archive includes 1984, 1994, 2004, 2014 and predicted 2024, 2034, 2044, and 2054. Because medium resolution landcover data that include species detail are lacking, we developed a compound modeling approach that enabled us to refine the available evergreen forest category into highly flammable species and less flammable species. We then expanded our refined landcover at decadal time steps from 1984 to 2014. With the aid of an existing burn model, FlamMap, and simple succession rules, we were able to predict future landcover at decadal steps until 2054. Our ... |
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