Start Date
14-2-2013 2:50 PM
Description
An accuracy assessment on a 2009 Vegetation Map of Mammoth Cave National Park produced by University of Georgia indicated inadequate reliability. As well, there were significant polygon boundary errors and unclassified polygons left blank on the map. With pressing need for a vegetation map to support the park’s Fire Management Plan (FMP), a derivative of the 2008 Landfire map was produced. Specifically, 24 categories were regrouped into 4 vegetation categories useful for the FMP. Barrens and Prairie Plantation categories were added as superimposed polygons, and the same approach was taken for both fire and storm-linked forest canopy gaps. Accuracy assessment data points were sampled on a random basis until the cumulative percent correct stabilized, indicating that the sample size was adequate. The final cumulative average for this map was 66% accurate, which will require enhanced field checking of prescribed fire plots. Funding will be sought for yet a new map.
Recommended Citation
Olson, Rick; Scoggins, Lillian; Toomey, Rick; and Burton, Jesse, "2011 Vegetation Map for Mammoth Cave National Park" (2013). Mammoth Cave Research Symposia. 4.
https://digitalcommons.wku.edu/mc_reserch_symp/10th_Research_Symposium_2013/Research_Posters/4
Included in
Animal Sciences Commons, Forest Sciences Commons, Geology Commons, Hydrology Commons, Other Earth Sciences Commons, Plant Sciences Commons
2011 Vegetation Map for Mammoth Cave National Park
An accuracy assessment on a 2009 Vegetation Map of Mammoth Cave National Park produced by University of Georgia indicated inadequate reliability. As well, there were significant polygon boundary errors and unclassified polygons left blank on the map. With pressing need for a vegetation map to support the park’s Fire Management Plan (FMP), a derivative of the 2008 Landfire map was produced. Specifically, 24 categories were regrouped into 4 vegetation categories useful for the FMP. Barrens and Prairie Plantation categories were added as superimposed polygons, and the same approach was taken for both fire and storm-linked forest canopy gaps. Accuracy assessment data points were sampled on a random basis until the cumulative percent correct stabilized, indicating that the sample size was adequate. The final cumulative average for this map was 66% accurate, which will require enhanced field checking of prescribed fire plots. Funding will be sought for yet a new map.