Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

USDA Logo U.S. Department of Agriculture

Publication Details

Title:
New Jersey fuel treatment effects: Leaf-off airborne LiDAR data Data publication contains GIS data
Author(s):
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
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:
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. 2018. 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
Abstract:
This data publication contains airborne Light Detection and Ranging (LiDAR) data collected as part of a 2012-2015 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 four temporally distinct, leaf-off, airborne laser scanner collections in the New Jersey Pinelands, specifically Burlington and Ocean Counties. The first acquisition, Phase 1, serves as a base-line dataset for over 700 square miles of the New Jersey Pinelands and was collected in the fall of 2012. Phase 2, was collected in the spring of 2013 and focuses only on smaller areas of interest within the boundaries of Phase I where there were new fuel treatment operations. Phase 3, collected in the spring, focuses on the re-measurement of 2013 treatments and new 2014 treatments. Phase 4, collected in the spring of 2015, focused on a single prescribed burn block, Ex1.

Keywords:
elevation; biota; location; Fire; Fire ecology; Prescribed fire; Natural Resource Management & Use; Landscape management; light detection and ranging; LiDAR; airborne laser scanner; forest canopy structure; canopy fuel; 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:
  • Clark, Kenneth L.; Skowronski, Nicholas S.; Gallagher, Michael R. 2015. Fire management and carbon sequestration in Pine Barren forests. Journal of Sustainable Forestry. 34: 125-146. https://doi.org/10.1080/10549811.2014.973607
  • Skowronski, Nicholas S.; Simeoni, Albert J.; Clark, Kenneth L.; Mell, William E.; Hadden, Rory M.; Kremens, Robert L.; Filkov, Alexander I.; Hadden, Rory M.; 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. JFSP Project Number: 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
  • More (7 total)
Metrics:
Visit count : 318
Download count: 79
More details
Data Access:

Need information about Using our Formats?

https://www.fs.usda.gov/rds/archive/catalog/RDS-2017-0059