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Publication Details

Title:
New Jersey fuel treatment effects: Wildfire Airborne Sensor Program - orthorectified long-wave infrared and visible data images Data publication contains GIS data
Author(s):
Kremens, Robert L.; Skowronski, Nicholas S.; Simeoni, Albert J.; Clark, Kenneth L.; Mell, William E.; Hadden, Rory M.; Gallagher, Michael R.; Mueller, Eric V.; El Houssami, Mohamad; Filkov, Alexander I.; Thomas, Jan Christian
Publication Year:
2017
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:
Kremens, Robert L.; Skowronski, Nicholas S.; Simeoni, Albert J.; Clark, Kenneth L.; Mell, William E.; Hadden, Rory M.; Gallagher, Michael R.; Mueller, Eric V.; El Houssami, Mohamad; Filkov, Alexander I.; Thomas, Jan Christian. 2017. New Jersey fuel treatment effects: Wildfire Airborne Sensor Program - orthorectified long-wave infrared and visible data images. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2017-0063
Abstract:
This data publication contains infrared and visible data collected as part of a Joint Fire Science Program project designed to collect landscape-scale fuels data before and after prescribed fires to quantify consumption, collect data for the parameterization and evaluation of computational flow-dynamics models for simulating fire behavior, and synthesize data for the evaluation of fuels treatment effectiveness. The data include orthorectified in-fire long-wave infrared (LWIR) and visible (VNIR) images collected via a fixed wing aircraft with the Rochester Institute of Technology (RIT) Wildfire Airborne Sensor Program (WASP) instrument during three separate fire experiments in the New Jersey Pinelands, specifically in Ocean and Burlington Counties. Fire experiments Ex1, Ex2 and Ex3 were performed on 3/5/2013, 3/4/2014 and 3/19/2015, respectively. Ex3 includes only LWIR infrared data. A series of images were taken of the entire fire experiment approximately every three seconds for each fire.

Keywords:
imageryBaseMapsEarthCover; Ecology, Ecosystems, & Environment; Ecology; Landscape ecology; Fire; Fire detection; Fire ecology; Fire effects on environment; Prescribed fire; fire intensity; thermal infrared imagery; visible data; remote sensing; Rochester Institute of Technology; RIT; Wildfire Airborne Sensor Program; WASP; Joint Fire Science Program; JFSP; New Jersey; Burlington County; Ocean County; Pinelands National Reserve; PNR; pine barrens; New Jersey Pine Barrens; NJPB; pine lands
Related publications:
  • Skowronski, Nicholas S.; Simeoni, Albert J.; Clark, Kenneth L.; Mell, William E.; Hadden, Rory M.; Kremens, Robert L.; Filkov, Alexander I.; Edwards, William; Dusha, James; Evans-House, Ashley; Mueller, Eric V.; Gallagher, Michael R.; Thomas, Jan Christian; El Houssami, Mohamad; Santamaria, Simon. 20160631. Evaluation and optimization of fuel treatment effectiveness with an integrated experimental/modeling approach. Final Project Report. 12-1-03-11. (Also available in this data publication: \Supplements\12-1-03-11_final_report.pdf). https://www.firescience.gov/projects/12-1-03-11/project/12-1-03-11_final_report.pdf
  • Mueller, Eric V.; Skowronski, Nicholas S.; Clark, Kenneth L.; Gallagher, Michael R.; Kremens, Robert L.; Thomas, Jan Christian; El Houssami, Mohamad; Filkov, Alexander I.; Hadden, Rory M.; Mell, William E.; Simeoni, Albert J. 2017. Utilization of remote sensing techniques for the quantification of fire behavior in two pine stands. Fire Safety Journal. 91: 845-854 . https://doi.org/10.1016/j.firesaf.2017.03.076
  • Skowronski, Nicholas S.; Simeoni, Albert J.; Clark, Kenneth L.; Mell, William E.; Hadden, Rory M.; Gallagher, Michael R.; Mueller, Eric V.; Kremens, Robert L.; El Houssami, Mohamad; Filkov, Alexander I.; Thomas, Jan Christian. 2017. New Jersey fuel treatment effects: Leaf-off airborne LiDAR data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2017-0059
  • More (6 total)
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