Journal articly by: Robert A. Chastain, Haans Fisk, James R. Ellenwood, Frank J. Sapio, Bonnie Ruefenacht, Mark V. Finco, Vernon Thomas
Abstract
The Real-Time Forest Disturbance (RTFD) program of the Forest Service, U.S. Department of Agriculture (USFS) provides timely spatial information regarding changes in forest conditions to the Forest Health Protection (FHP) and State and Private Forestry (S&PF) community for improving aerial detection and forest health survey efficiency. The USFS Remote Sensing Applications Center (RSAC) creates CONUS-wide forest change geospatial layers for the RTFD program every 8 days during the growing season using image data from the Moderate Resolution Imaging Spectroradiometer (MODIS), and delivers these data to a web mapping application named the Forest Disturbance Monitor (FDM) developed by the USFS Forest Health Technology Enterprise Team (FHTET).
Differences in the timing, duration, and severity of disturbances in forested landscapes result in a broad array of possible types of forest change. Two effective remote sensing change detection approaches using MODIS satellite data are employed to detect and track quick and ephemeral change as opposed to gradually occurring disturbances in forest health. The first uses a statistical (Z-score) change detection approach designed to discern intraseasonal ‘quick’ changes in forest conditions caused by events such as defoliations or storm damage. The second approach uses trend analysis to identify areas where slower, multiyear changes occur in forested areas, such as bark beetle outbreaks and drought stress in the western coniferous forest biome.
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