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Abstract
The Rapid Assessment of Vegetation Condition After Wildfire program (RAVG) provides satellite-based estimates of basal area loss, canopy cover loss, and burn severity following large wildfires on USDA Forest Service lands. The current RAVG models (regression equations) are based on field data collected from burned areas in the Sierra Nevada, northern California, and southern Oregon, and on Landsat imagery from the same period. In collaboration with teams from the University of Washington and the Forest Service Enterprise Team, the Forest Service Geospatial Technology and Applications Center is pursuing a multiyear effort to develop new models adapted to forests in the Pacific Northwest and the Southwest. The UW team is developing the model for the Northwest using data collected on wildfires in interior Oregon and Washington, northern Idaho, and western Montana that occurred during 2016 and 2017. The Enterprise Team is pursuing a similar effort for Arizona and New Mexico based on data from fires that burned in 2017 and 2018. This talk will provide background for the RAVG program and existing models, methods used in the current studies, and preliminary results.
Parent Publication
Citation
Baker, Craig; Harvey, Brian; Saberi, Saba; Reiner, Alicia; Wahlberg, Max. 2020. Regionally adapted models for the Rapid Assessment of Vegetation Condition After Wildfire program in the Interior Northwest and Southwest United States. In: Pile, Lauren S.; Deal, Robert L.; Dey, Daniel C.; Gwaze, David; Kabrick, John M.; Palik, Brian J.; Schuler, Thomas M., comps. The 2019 National Silviculture Workshop: a focus on forest managementresearch partnerships. Gen. Tech. Rep. NRS-P-193. Madison, WI: U.S. Department of Agriculture, Forest Service, Northern Research Station: 6-10. https://doi.org/10.2737/NRS-GTR-P-193-paper2.
