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Publication Details

Title:
RxCADRE 2008, 2011, and 2012: Lidar data and derived raster products Data publication contains GIS data
Author(s):
Hudak, Andrew T.; Bright, Benjamin C.; Satterberg, Kevin L.
Publication Year:
2015
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:
Hudak, Andrew T.; Bright, Benjamin, C.; Satterberg, Kevin L. 2015. RxCADRE 2008, 2011, and 2012: Lidar data and derived raster products. Fort Collins, CO: Forest Service Research Data Archive. Updated 22 June 2022. https://doi.org/10.2737/RDS-2015-0010
Abstract:
This data package contains raw lidar data and derived raster products from the 2008, 2011, and 2012 Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE). Data include LAZ lidar files and derived rasters including terrain, canopy height, mean intensity surfaces, as well as percent canopy cover. Lidar acquisition areas are located in Eglin Air Force Base, northeast of Valparaiso, Florida in Okaloosa County and the Joseph Jones Ecological Research Center near Camilla, Georgia.

Keywords:
biota; environment; imageryBaseMapsEarthCover; Fire; Fire detection; Fire ecology; Fire effects on environment; Fire suppression, pre-suppression; Prescribed fire; Smoke; lidar; airborne lidar; canopy height model; digital surface model; digital terrain model; intensity; remote sensing; RxCADRE; LAStools; Joint Fire Science Program; JFSP; Florida; Georgia; Joseph Jones Ecological Research Center; Eglin Air Force Base
Related publications:
  • Silva, Carlos A.; Hudak, Andrew T.; Vierling, Lee A.; Loudermilk, E. Louise; O’Brien, Joseph J.; Hiers, J. Kevin; Jack, Steve B.; Gonzalez-Benecke, Carlos; Lee, Heezin; Falkowski, Michael J.; Khosravipour, Anahita. 2016. Imputation of individual longleaf pine (Pinus palustris Mill.) tree attributes from field and LiDAR data. Canadian journal of remote sensing. 42(5): 554-573. https://doi.org/10.1080/07038992.2016.1196582 https://research.fs.usda.gov/treesearch/52704
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