Publication Details
- Title:
- Forest canopy disturbance geospatial data for Lake Superior basin, USA, 1985-2008
- Author(s):
-
Housman, Ian W.; Nelson, Mark D.; Perry, Charles H.; Stueve, Kirk M.; Huang, Chengquan - Publication Year:
- 2014
- How to Cite:
-
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Housman, Ian W.; Nelson, Mark D.; Perry, Charles H.; Stueve, Kirk M.; Huang, Chengquan. 2014. Forest canopy disturbance geospatial data for Lake Superior basin, USA, 1985-2008. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0014
- Abstract:
- Recent and previous disturbance of forest canopy, persisting forest cover, persisting nonforest, and water were mapped within Lake Superior basin, USA, 1985-2008. Landsat Time Series Stacks and a regionally optimized vegetation change tracker algorithm were used for modeling a 30-meter spatial resolution dataset with a minimum mapping unit of 4 pixels (0.88 acres).
- Keywords:
- forest canopy disturbance; disturbance mapping; change detection; vegetation change tracker; VCTw; Landsat time series stack; map; biota; imageryBaseMapsEarthCover; Ecology, Ecosystems, & Environment; Geography; Michigan; Wisconsin; Indiana; Illinois; Great Lakes; Lake Superior; Canada; United States
- Related publications:
- Seilheimer, Titus S.; Zimmerman, Patrick L.; Stueve, Kirk M.; Perry, Charles H. 2013. Landscape-scale modeling of water quality in Lake Superior and Lake Michigan watersheds: How useful are forest-based indicators? . Journal of Great Lakes Research. 39(2): 211-223. https://doi.org/10.1016/j.jglr.2013.03.012 https://research.fs.usda.gov/treesearch/45141
- Housman, Ian W.; Nelson, Mark D.; Perry, Charles H.; Stueve, Kirk M.; Huang, Chengquan. 2014. Forest canopy disturbance geospatial data for Lake Michigan basin, USA, 1985-2008. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0013
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