The Rapid Assessment of Vegetation Condition after Wildfire (RAVG) program assesses post-fire vegetation condition for large wildfires on forested National Forest System (NFS) lands. RAVG data are produced by the USFS Geospatial Technology and Applications Center (GTAC) by way of a multispectral change detection process. Standard products are calculated using regression equations that relate derivatives of Landsat or other similar imagery to three estimates of burn severity: percent change in basal area (BA), percent change in canopy cover (CC), and a standardized composite burn index (CBI).
Standard thematic products include 7-class percent change in basal area (BA-7), 5-class percent change in canopy cover (CC-5), and 4-class CBI (CBI-4). National mosaics of each thematic product are prepared annually.
RAVG data are produced to assist in post-fire vegetation management planning. They are intended to enhance decision-making capabilities and reduce planning and implementation costs associated with post-fire vegetation management. RAVG analysis provides a first approximation of areas that may require reforestation treatments after a fire. This initial approximation may be followed by site-specific diagnosis and development of a silvicultural prescription to more precisely identify reforestation needs.
The USDA Forest Service makes no warranty, expressed or implied, including the warranties of merchantability and fitness for a particular purpose, nor assumes any legal liability or responsibility for the accuracy, reliability, completeness or utility of these geospatial data, or for the improper or incorrect use of these geospatial data. These geospatial data and related maps or graphics are not legal documents and are not intended to be used as such. The data and maps may not be used to determine title, ownership, legal descriptions or boundaries, legal jurisdiction, or restrictions that may be in place on either public or private land. Natural hazards may or may not be depicted on the data and maps, and land users should exercise due caution. The data are dynamic and may change over time. The user is responsible to verify the limitations of the geospatial data and to use the data accordingly.