Fairbanks, 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. The data is a geotiff...
| Main Authors: | , , , |
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| Format: | Dataset |
| Language: | English |
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NSF Arctic Data Center
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.18739/a28c9r563 https://arcticdata.io/catalog/view/doi:10.18739/A28C9R563 |
| 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. The data is a geotiff (30 meter resolution) with 16 land cover classes. The published paper with the methods can be found at: https://doi.org/10.3390/f14081577. This archive includes 1984, 1994, 2003, 2014 and predicted 2024, 2034, 2044, and 2054. The year 2003 was used because 2004 had a large fire from that year already in the landsat imagery. Most years the fires show up the next year in the imagery. 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 ... |
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