Global assessment of sub-pixel fire retrievals using MODIS 1 km data

Friday, 19 December 2014: 4:30 PM
Wilfrid Schroeder, University of Maryland College Park, College Park, MD, United States and Louis Giglio, NASA GSFC, Greenbelt, MD, United States
Application of the bi-spectral fire area and temperature retrieval method in support of sub-pixel active fire characterization was first introduced using the 1 km NOAA/AVHRR mid- and thermal-infrared data in the early 80s. Several studies followed using that fire retrieval method, including its operational implementation as part of the Wildfire Automated Biomass Burning Algorithm using 4 km GOES imager data starting in the mid 90s. In the present study we expand on the limited error analyses performed for the bi-spectral method by looking at the main drivers of uncertainty in the fire retrievals derived from 1 km MODIS global active fire data. We present a straightforward fire retrieval rejection criterion based on the available thermal-infrared background data, which can be used to distinguish between lower and higher quality fire area and temperature estimates.