ABSTRACT

This chapter addresses the application of satellite remote sensing data for mapping wildfire severity patterns and analysing their associations with the wildland-urban interface and topography. It starts with the raw satellite imagery provided by MTBS and show how it is processed to develop an index of burn severity. Pre- and post-fire landscape conditions are characterized using the normalized burn ratio index. The DNBR index will be used to classify the image into discrete levels of burn severity. The elevation data were obtained from the National Elevation Dataset through the United States Geological Survey's National Map. Partial regression plots can also be generated using the visreg() function from the visreg package.