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Publication Details

Title:
RxCADRE 2012: Terrestrial laser scan (TLS) point cloud data for Eglin Air Force Base Data publication contains GIS data
Author(s):
Rowell, Eric M.; Seielstad, Carl A.
Publication Year:
2023
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:
Rowell, Eric M.; Seielstad, Carl A. 2023. RxCADRE 2012: Terrestrial laser scan (TLS) point cloud data for Eglin Air Force Base. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2023-0011
Abstract:
The RxCADRE project was a large integrated measurements experiment that involved 30 leading fire scientists across 6 fire disciplines to collaboratively collect various data on 7 large operational prescribed fires in 2008 and 2011 at the Eglin Air Force Base in Okaloosa County, Florida and the Joseph W. Jones Ecological Research Center in Georgia. In 2012 the project was extended by the Joint Fire Science Program (JFSP) to include 6 small replicate and 3 large operational prescribed burn blocks in longleaf pine ecosystems on Eglin Air Force Base. These data were collected in the L1G (grass dominated), L2G (grass/shrub dominated units) and the L2F (forested units) as part of the 2012 large operational prescribed fires. This data publication contains raw terrestrial laser scanning (TLS) data (provided in LAZ format) collected in 2012 at Eglin Air Force Base in Okaloosa County, Florida. The L2F unit was the last unit burned as part of the 2012 Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) funded by the Joint Fire Science Program. Data include UTM coordinates, normalized height, and raw intensity data that correspond to the 3 Highly Instrumented Plots (HIPS) from the 2012 RxCADRE burn.

Keywords:
biota; environment; imageryBaseMapsEarthCover; Fire; Fire detection; Fire ecology; Fire effects on environment; Fire suppression, pre-suppression; Prescribed fire; Smoke; lidar; terrestrial lidar; canopy height model; digital surface model; digital terrain model; intensity; remote sensing; RxCADRE; Joint Fire Science Program; JFSP; Florida; Eglin Air Force Base
Related publications:
  • Rowell, Eric M.; Seielstad, Carl A.; Ottmar, Roger D. 2016. Development and validation of fuel height models for terrestrial lidar – RxCADRE 2012. International Journal of Wildland Fire. 25: 38-47. http://dx.doi.org/10.1071/WF14170 https://research.fs.usda.gov/treesearch/50199
  • Rocha, Kleydson Diego; Silva, Carlos Alberto; Cosenza, Diogo N.; Mohan, Midhun; Klauberg, Carine; Schlickmann, Monique Bohora; Xia, Jinyi; Leite, Rodrigo V.; Almeida, Danilo; Atkins, Jeff W.; Cardil, Adrian; Rowell, Eric; Parsons, Russ; Sánchez-López, Nuria; Prichard, Susan J.; Hudak, Andrew T. 2023. Crown-level structure and fuel load characterization from airborne and terrestrial laser scanning in a longleaf pine (Pinus palustris Mill.) forest ecosystem. Remote Sensing. 15(4): 1002. https://doi.org/10.3390/rs15041002
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