Title:

Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery

Author(s):

McNamara, Derek J.

Publication Year:

2018

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:

McNamara, Derek J. 2018. Camp Swift Fire Experiment 2014: Post-fire unmanned aerial vehicle (UAV) imagery. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0048

Abstract:

This data publication contains raw and georeferenced post-fire aerial imagery collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Post-fire aerial imagery was collected from a Canon©T3i mounted on a MLB Company SuperBat III unmanned aerial vehicle (UAV) after completion of the three burns. This data package contains five distinct georeferenced post-fire images and one mosaiced image of these five distinct images covering the three burn blocks.

Keywords:

environment; biota; imageryBaseMapsEarthCover; remote sensing; multispectral; aerial imagery; multispectral imagery; unmanned aerial vehicle; JFSP; Joint Fire Science Program; Camp Swift Fire Experiment 2014; UAS; UAV; fire behavior; remote sensing; pre-fire; wildland fire; wind; Fire effects on environment; Prescribed fire; Fire ecology; Ecology, Ecosystems, & Environment; Fire; Bastrop County; Texas; Camp Swift Army Base

Related publications:

• Derek McNamara, Geospatial Measurement Solutions, LLC, GIS Analyst; William Mell, United States Forest Service, Combustion Engineer. 2018. Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment. https://usfs.maps.arcgis.com/home/item.html?id=aa3726577d9549a2a26b7d000fb98512

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