Title
MODIS-Landsat Fusion for Large Area 30m Burned Area Mapping
Document Type
Article
Publication Date
2-20-2015
Keywords
Landsat, MODIS, Burned Area Mapping, Semantic Change Detection
Description
Fire products derived from coarse (500 m to 1 km) spatial resolution satellite data have become an important source of information for the fire science and applications communities. There is however a demand for moderate (30 m) spatial resolution burned area data sets, systematically generated at regional to global scale, that to date has been only partially met. This paper presents a methodology to fuse multi-temporal Landsat Enhanced Thematic Mapper plus (ETM+) data with Moderate Resolution Imaging Spectroradiometer (MODIS) active fire detections to map systematically burned areas at 30 m resolution. A multistage mapping approach is used with an initial per-pixel change detection based on spectral-rule based pre-classification of Landsat 30 m time series to identify candidate burned areas. The candidate burned area objects are then either retained or discarded by comparison with contemporaneous MODIS active fire detections. The methodology is demonstrated for 1.9 million km 2 over the Western United States using all the Landsat 7 ETM+ data and Terra MODIS active fire detections acquired in 2002. Systematic evaluation conducted by per-pixel and per-burned area object comparison with the burned area perimeters provided by the USGS Monitoring Trends in Burn Severity (MTBS) project is presented, and shows a good agreement in the identification of burning patterns but a likely underestimation of the total area burned. Future research to refine and further test the methodology is discussed
Publication Title
Remote Sensing of Environment
Volume
161
First Page
27
Last Page
42
DOI of Published Version
10.1016/j.rse.2015.01.022
Publisher
Elsevier
Recommended Citation
Boschetti, Luigi; Roy, David P.; Justice, Christopher O.; and Humber, Michael L., "MODIS-Landsat Fusion for Large Area 30m Burned Area Mapping" (2015). GSCE Faculty Publications. 52.
https://openprairie.sdstate.edu/gsce_pubs/52