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:
Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data Data publication contains GIS data
Author(s):
Barber, Nastassia R.; Alvarado, Ernesto; Moskal, L. Monika; Kane, Van R.; Cronan, James B.
Publication Year:
2021
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:
Barber, Nastassia R.; Alvarado, Ernesto; Moskal, L. Monika; Kane, Van R.; Cronan, James B. 2021. Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Field data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0070
Abstract:
This data publication consists of the weight before and after drying, along with other relevant information, of 120 grass plots at the Mazama Meadows site near Olympia, Washington on 09/22/2020. Each plot was destructively sampled and broken into three sample types roughly defined as: live (live vegetation), top (vegetation greater than 1 foot tall), and bottom (rest of the vegetation). Together these three samples represent the entire plot. These data were collected in order to characterize the "ground truth" for fuel moisture right after overhead imagery were collected from two unmanned aerial vehicle (UAV) flights at 9:34am and 2:56pm. Also included is a shapefile containing the geolocated polygons for each grass plot.

Keywords:
biota; environment; UAV; unmanned aerial vehicle; wildfire; infrared; remote sensing; MicaSense; wildfire modeling; fuel moisture; fire fuels; Fire; Fire detection; Fire ecology; Fire suppression, pre-suppression; Inventory, Monitoring, & Analysis; Assessments; Biometrics; Techniques; Washington
Related publications:
  • Barber, Nastassia R.; Alvarado, Ernesto; Kane, Van R.; Mell, William E.; Moskal, L. Monika. 2021. Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors. Sensors. 21(19): 6350. https://doi.org/10.3390/s21196350
  • Barber, Nastassia R.; Alvarado, Ernesto; Moskal, L. Monika; Kane, Van R.; Cronan, James B. 2021. Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: MicaSense remote sensing data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0071
  • Barber, Nastassia R.; Alvarado, Ernesto; Moskal, L. Monika; Kane, Van R.; Cronan, James B. 2021. Estimating fuel moisture in grasslands using UAV-mounted infrared and visible light sensors: Tau remote sensing data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2021-0072
Metrics:
Visit count : 191
Download count: 3
More details
Data Access:
  • View metadata (HTML)
  • View file index (HTML), which lists all files in this data publication and short description of their contents
  • Download all files below for the complete publication:

Need information about Using our Formats?