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...
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2023
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dataone:doi:10.18739/A28C9R563 2024-10-03T18:45:55+00:00 Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 Jennifer Schmidt Zeke Ziel Monika Calef Anna Varvak Fairbanks North Star Borough ENVELOPE(-148.0,-145.0,65.0,64.0) BEGINDATE: 1984-01-01T00:00:00Z ENDDATE: 2054-01-01T00:00:00Z 2023-09-30T00:00:00Z https://doi.org/10.18739/A28C9R563 unknown Arctic Data Center Fairbanks, Alaska Vegetation Land cover Landsat Dataset 2023 dataone:urn:node:ARCTIC https://doi.org/10.18739/A28C9R563 2024-10-03T18:20:06Z 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 aid of an existing burn model, FlamMap, and simple succession rules, we were able to predict future landcover at decadal steps until 2054. Our resulting land covers provide important information to communities in our study area on current and future wildfire risk and vegetation changes and could be developed in a similar fashion for other areas. These data will then be used to assess wildfire hazards and risk. Dataset Arctic Alaska Arctic Data Center (via DataONE) Arctic Fairbanks North Star ENVELOPE(-117.636,-117.636,56.850,56.850) ENVELOPE(-148.0,-145.0,65.0,64.0) |
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Open Polar |
collection |
Arctic Data Center (via DataONE) |
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dataone:urn:node:ARCTIC |
language |
unknown |
topic |
Fairbanks, Alaska Vegetation Land cover Landsat |
spellingShingle |
Fairbanks, Alaska Vegetation Land cover Landsat Jennifer Schmidt Zeke Ziel Monika Calef Anna Varvak Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 |
topic_facet |
Fairbanks, Alaska Vegetation Land cover Landsat |
description |
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 aid of an existing burn model, FlamMap, and simple succession rules, we were able to predict future landcover at decadal steps until 2054. Our resulting land covers provide important information to communities in our study area on current and future wildfire risk and vegetation changes and could be developed in a similar fashion for other areas. These data will then be used to assess wildfire hazards and risk. |
format |
Dataset |
author |
Jennifer Schmidt Zeke Ziel Monika Calef Anna Varvak |
author_facet |
Jennifer Schmidt Zeke Ziel Monika Calef Anna Varvak |
author_sort |
Jennifer Schmidt |
title |
Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 |
title_short |
Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 |
title_full |
Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 |
title_fullStr |
Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 |
title_full_unstemmed |
Fairbanks, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover 1984-2054 |
title_sort |
fairbanks, alaska modified above: landsat-derived annual dominant land cover 1984-2054 |
publisher |
Arctic Data Center |
publishDate |
2023 |
url |
https://doi.org/10.18739/A28C9R563 |
op_coverage |
Fairbanks North Star Borough ENVELOPE(-148.0,-145.0,65.0,64.0) BEGINDATE: 1984-01-01T00:00:00Z ENDDATE: 2054-01-01T00:00:00Z |
long_lat |
ENVELOPE(-117.636,-117.636,56.850,56.850) ENVELOPE(-148.0,-145.0,65.0,64.0) |
geographic |
Arctic Fairbanks North Star |
geographic_facet |
Arctic Fairbanks North Star |
genre |
Arctic Alaska |
genre_facet |
Arctic Alaska |
op_doi |
https://doi.org/10.18739/A28C9R563 |
_version_ |
1811922294823452672 |