Object-Based Assessment of Burn Severity in Diseased Forests Using High-Spatial and High-Spectral Resolution MASTER Airborne Imagery

Author , , , ,
Date 2015
Publication ISPRS Journal of Photogrammetry and Remote Sensing 102: 38–47.
Key Words
AbstractForest ecosystems are subject to a variety of disturbances with increasing intensities and frequencies, which may permanently change the trajectories of forest recovery and disrupt the ecosystem services provided by trees. Fire and invasive species, especially exotic disease-causing pathogens and insects, are examples of disturbances that together could pose major threats to forest health. This study examines the impacts of fire and exotic disease (sudden oak death) on forests, with an emphasis on the assessment of post-fire burn severity in a forest where trees have experienced three stages of disease progression prefire: early-stage (trees retaining dried foliage and fine twigs), middle-stage (trees losing fine crown fuels), and late-stage (trees falling down). The research was conducted by applying Geographic Object-Based Image Analysis (GEOBIA) to MASTER airborne images that were acquired immediately following the fire for rapid assessment and contained both high-spatial (4 m) and high-spectral (50 bands) resolutions.
Full Citation Chen, G.; Metz, M.R.; Rizzo, D.M.; Dillon, W.W.; and Meentemeyer, R.K. 2015. Object-Based Assessment of Burn Severity in Diseased Forests Using High-Spatial and High-Spectral Resolution MASTER Airborne Imagery. ISPRS Journal of Photogrammetry and Remote Sensing 102: 38–47.