LANDFIRE data and applications

Inga La Puma; Timothy D. Hatten

doi:10.3133/fs20223034

Treesearch

LANDFIRE data and applications

Informally Refereed

Authors:

Inga La Puma, Timothy D. Hatten

Year:

2022

Type:

Miscellaneous

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.3133/fs20223034

Source:

Fact Sheet 2022-3034. Washington DC: U.S. Department of the Interior, U.S. Geological Survey. 4 p.

Download (PDF 9.27 MB)

Download (PDF 9.27 MB): https://research.fs.usda.gov/download/treesearch/68172.pdf

Abstract

LANDFIRE assigns disturbance, vegetation, fuel, and fire regime classifications to every pixel within every 30 meters of land in the United States. A good example of these methods is the process of assigning a pixel to an ecological system or to a U.S. National Vegetation Classification group, LANDFIRE’s two vegetation type classifications. LANDFIRE uses the relation between satellite image surface reflectance and field plots to extrapolate vegetation classes to other pixels containing similar information. The satellite reflectance data come primarily from 30-meter Landsat sensors and provide a consistent dataset that has been the basis for LANDFIRE mapping since 2004.

Keywords

LANDFIRE, fire regime classifications, vegetation type classifications, Landsat, dataset

Citation

La Puma, Inga; Hatten, Timothy D. 2022. LANDFIRE data and applications. Fact Sheet 2022-3034. Washington DC: U.S. Department of the Interior, U.S. Geological Survey. 4 p.