Ag Data Commons
Browse
- No file added yet -

Plot-level ladder fuel estimation from a suite of remote sensing and field methods

dataset
posted on 2024-09-12, 20:11 authored by Brieanne K. Forbes, Sean P. Reilly, Matthew L. Clark, Ryan M. Ferrell, Allison C. Kelly, Paris D. Krause, Corbin D. Matley, Michael W. O’Neil, Michelle T. Villasenor, Mathias I. Disney, Phil Wilkes, Lisa P. Bentley
This data publication includes data collected to evaluate the use of a suite of remote sensing approaches and field measurements to quantify plot-scale ladder fuels in oak woodlands and mixed forests in the same region and relate measurements of ladder fuels to wildfire burn severity. Remote sensing techniques included a terrestrial laser scanner (TLS), a handheld-mobile laser scanner (HMLS), an unoccupied aerial system (UAS) with multispectral camera and Structure from Motion (SfM) processing (UAS-SfM), and an airborne laser scanner (ALS). Field measurements include canopy base height (CBH) and the use of a photo banner and wildfire burn severity estimated via the Relativized delta Normalized Burn Ratio (RdNBR). Additionally, the coordinates for plot center locations and a map of the study are included.
While fire is an important ecological process in the western United States, wildfire size and severity have increased over recent decades as a result of climate change, historical fire suppression, and lack of adequate fuels management. Due to the urgency to build ecosystem resilience and reduce risk to life and property in light of future wildfire events, land managers are implementing fuel management programs. Technology used to quantify forest ladder fuels, which bridge the gap between the surface and the canopy and lead to more severe canopy fires, can help inform management treatments to reduce future wildfire risk.
For more information about this study and these data see Forbes et al. (2022). These data were published on 12/09/2021. On 04/11/2022 the metadata was updated to include reference to newly published article.

Funding

USDA-FS

History

Data contact name

Brieanne Forbes

Data contact email

brieanne.k.forbes@gmail.com

Publisher

Forest Service Research Data Archive

Use limitations

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: Forbes, Brieanne K.; Reilly, Sean P.; Clark, Matthew L.; Ferrell, Ryan M.; Kelly, Allison C.; Krause, Paris D.; Matley, Corbin D.; O'Neil, Michael W.; Villasenor, Michelle T.; Disney, Mathias I.; Wilkes, Phil; Bentley, Lisa P. 2021. Plot-level ladder fuel estimation from a suite of remote sensing and field methods. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0101

Temporal Extent Start Date

2019-09-01

Temporal Extent End Date

2020-08-31

Theme

  • Not specified

Geographic Coverage

{"type": "FeatureCollection", "features": [{"type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-122.7431, 38.61048], [-122.7431, 38.48575], [-122.60792, 38.48575], [-122.60792, 38.61048], [-122.7431, 38.61048]]]}, "properties": {}}]}

Geographic location - description

Sonoma County, California, USA

ISO Topic Category

  • biota
  • imageryBaseMapsEarthCover
  • elevation
  • environment

National Agricultural Library Thesaurus terms

Forestry, Wildland Management

OMB Bureau Code

  • 005:96 - Forest Service

OMB Program Code

  • 005:059 - Management Activities

Pending citation

  • No

Public Access Level

  • Public

Identifier

RDS-2021-0101