Tepee Fire Fuel and Fuel Consumption

Data Overview

Mapped attributes:

  • Fuel consumption derived from ALS data
  • Post-fire fuel load derived from ALS data
  • Pre-fire fuel load derived from ALS data
  • Fuel consumption derived from FCCS data
  • Post-fire fuel load derived from FCCS data
  • Pre-fire fuel load derived from FCCS data

Supplements:

  • ALS data extent
  • Tepee fire perimeter
  • Prior forest fuel treatments

Description

Landscape scale estimates of pre-fire fuel load and fuel consumption are valuable resources for land managers and scientists. We used multitemporal airborne laser scanning (ALS), combined with field data, to empirically model these variables at fine scales (5 m resolution). We acquired Fuel Characteristic Classification System (FCCS) estimates of fuel load through LANDFIRE (30 m resolution) and estimated fuel consumption using CONSUME in the software program Fuel and Fire Tools (FFT). This data publication contains pre/post fire fuel load and fuel consumption for the 2018 Tepee Fire (Oregon, USA) using each of the ALS and FCCS approaches. We used these data to compare the approaches and to examine the effect of differing spatial resolution. The data may also be used for studying fire behavior, fire effects, and smoke emissions at these fires. Further detail on these data can be found in McCarley et al. 2022.

Units

The units for all fuel estimates are megagrams per hectare. Negative consumption estimates in the ALS data correspond to vegetation growth.

Coordinate Reference System

Data is projected in WGS84 UTM Zone 10N (EPSG 32610).

Credit

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 either the data citation or the journal article citation:

McCarley, T. Ryan; Hudak, Andrew T.; Restaino, Joseph C.; Billmire, Michael; French, Nancy H. F.; Ottmar, Roger D.; Hass, Bridget; Zarzana, Kyle; Goulden, Tristan; Volkamer, Rainer. 2022. Tepee Fire Fuel and Fuel Consumption. WIFIRE. https://doi.org/10.48792/W2WC72

McCarley, T.R., A.T. Hudak, J.C. Restaino, N.H. French, M. Billmire, R.D. Ottmar, B. Haas, T. Goulden and R. Volkamer. (2022) A comparison of multitemporal airborne laser scanning data and the Fuel Characteristics Classification System for estimating fuel load and consumption. Journal of Geophysical Research – Biogeosciences 127, e2021JG006733. https://doi.org/10.1029/2021JG006733.

Data and Resources

Field Value
doi https://doi.org/10.48792/W2WC72
encoding utf8
spatial {"type": "Polygon", "coordinates":[[[-121.125455, 43.86061], [-121.024003, 43.86061], [-121.024003, 43.828404], [-121.125455, 43.828404], [-121.125455, 43.86061]]]}
Groups
  • NSF
  • United States
Tags
  • Inland northwest USA
  • NSF
  • United States
  • airborne lidar
  • forest fuel
  • fuel characteristics classification system
  • fuel consumption
  • rangeland fuel
  • wildfire
author T. Ryan McCarley
author_email tmccarley@uidaho.edu
isopen False
license_id CC-BY-4.0
license_title CC-BY-4.0
metadata_created 2026-10-30T17:20:16.736542
metadata_modified 2026-10-30T17:20:16.736546
notes ## Data Overview ### Mapped attributes: * Fuel consumption derived from ALS data * Post-fire fuel load derived from ALS data * Pre-fire fuel load derived from ALS data * Fuel consumption derived from FCCS data * Post-fire fuel load derived from FCCS data * Pre-fire fuel load derived from FCCS data ### Supplements: * ALS data extent * Tepee fire perimeter * Prior forest fuel treatments ### Description Landscape scale estimates of pre-fire fuel load and fuel consumption are valuable resources for land managers and scientists. We used multitemporal airborne laser scanning (ALS), combined with field data, to empirically model these variables at fine scales (5 m resolution). We acquired Fuel Characteristic Classification System (FCCS) estimates of fuel load through LANDFIRE (30 m resolution) and estimated fuel consumption using CONSUME in the software program Fuel and Fire Tools (FFT). This data publication contains pre/post fire fuel load and fuel consumption for the 2018 Tepee Fire (Oregon, USA) using each of the ALS and FCCS approaches. We used these data to compare the approaches and to examine the effect of differing spatial resolution. The data may also be used for studying fire behavior, fire effects, and smoke emissions at these fires. Further detail on these data can be found in McCarley et al. 2022. ### Units The units for all fuel estimates are megagrams per hectare. Negative consumption estimates in the ALS data correspond to vegetation growth. ### Coordinate Reference System Data is projected in WGS84 UTM Zone 10N (EPSG 32610). ### Credit 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 either the data citation or the journal article citation: McCarley, T. Ryan; Hudak, Andrew T.; Restaino, Joseph C.; Billmire, Michael; French, Nancy H. F.; Ottmar, Roger D.; Hass, Bridget; Zarzana, Kyle; Goulden, Tristan; Volkamer, Rainer. 2022. Tepee Fire Fuel and Fuel Consumption. WIFIRE. https://doi.org/10.48792/W2WC72 McCarley, T.R., A.T. Hudak, J.C. Restaino, N.H. French, M. Billmire, R.D. Ottmar, B. Haas, T. Goulden and R. Volkamer. (2022) A comparison of multitemporal airborne laser scanning data and the Fuel Characteristics Classification System for estimating fuel load and consumption. Journal of Geophysical Research – Biogeosciences 127, e2021JG006733. https://doi.org/10.1029/2021JG006733.
num_resources 1
num_tags 9
title Tepee Fire Fuel and Fuel Consumption