HR: 15:10h
AN: B43E-07    [Abstracts]
TI: Evaluation of the VIIRS active fire detection algorithm using MODIS-based proxy data and ASTER
AU: * Csiszar, I A
EM: icsiszar@hermes.geog.umd.edu
AF: University of Maryland, Department of Geography, 2181 LeFrak Hall, College Park, MD 20742 United States
AU: Giglio, L
EM: giglio@hades.gsfec.nasa.gov
AF: Science Systems and Applications Inc., 10210 Greenbelt Road, Lanham, MD 20706 United States
AU: Morisette, J T
EM: Jeff.Morisette@nasa.gov
AF: NASA Goddard Space Flight Center, Mail Code 614.5, Greenbelt, MD 20771 United States
AU: Sei, A
EM: Alain.Sei@ngc.com
AF: Northrop Grumman Space Technology, R10-1363 , Redondo Beach, CA 90278 United States
AU: Justice, C O
EM: justice@hermes.geog.umd.edu
AF: University of Maryland, Department of Geography, 2181 LeFrak Hall, College Park, MD 20742 United States
AB: The VIIRS (Visible Infrared Imager Radiometer Suite) active fire detection algorithm builds on the heritage of the MODIS (Moderate Resolution Imaging Spectroradiometer) Fires and Thermal Anomalies product. The MODIS active fire product has been systematically generated since late 2000. A validation framework of the MODIS active fire product has been developed using fire masks from coincident ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) data to map the extent of burning within the MODIS pixels. This validation has yielded detection probabilities and commission and omission error rates as a function of ASTER-based summary statistics. In this study we evaluated the performance of the VIIRS fire detection algorithm over a wide range of geographic locations and environmental conditions, following the protocol developed for MODIS. Real MODIS data were adjusted to closely approximate the VIIRS sensor radiometric characteristics relevant to fire detection. Fire masks were generated for a number of granules where coincident ASTER imagery was collected. VIIRS accuracy statistics are reported for South America, Southern Africa and Northern Eurasia and compared to corresponding results derived from the MODIS product. This study is an intermediate step towards the full evaluation of performance of the VIIRS active fire product, which will be based on both simulated and real VIIRS data with actual VIIRS geometry. Lessons learned from the MODIS/ASTER synergy, applicable to fire product validation on future platforms, are also presented.
DE: 0426 Biosphere/atmosphere interactions (0315)
DE: 0452 Instruments and techniques
DE: 0468 Natural hazards
DE: 0480 Remote sensing
DE: 1631 Land/atmosphere interactions (1218, 1843, 3322)
SC: Biogeosciences [B]
MN: Fall Meeting 2005