MODIS-Derived Global Fire Products

  • Christopher O. JusticeEmail author
  • Louis Giglio
  • David Roy
  • Luigi Boschetti
  • Ivan Csiszar
  • Diane Davies
  • Stefania Korontzi
  • W. Schroeder
  • Kelley O’Neal
  • Jeff Morisette
Part of the Remote Sensing and Digital Image Processing book series (RDIP, volume 11)


The NASA MODIS global fire data products are digital maps calculated from Terra and Aqua MODIS data, designed primarily to serve the needs of the emissions modeling community. The algorithms were designed to provide a comprehensive global product, and to perform well over the expected range of fire conditions and scene variability. The goal was to maximize product accuracy, and minimize errors of commission and omission. Two products exist, including one, which characterizes actively burning fire locations at satellite overpass time, and two, which depicts the area burned, also called fire-affected areas (URL 1). Since the launch of Terra and Aqua, the user community has expanded to include federal agencies with operational fire monitoring mandates and natural resource managers as well the intended global change researchers.


Short Message Service Burned Area Bidirectional Reflectance Distribution Function MODIS Fire Fire Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This paper is dedicated to the memory of Yoram Kaufman, who played an important role in developing the MODIS Fire product and the Fire Radiative Power concept. His collaboration with the MODIS Fire Team is truly missed. The work presented here was funded under NASA Grants NNG04HZ18C (EOS), NNS06AA04A (Applications) and NAG513627 (LBA-ECO Phase II).


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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Christopher O. Justice
    • 1
    Email author
  • Louis Giglio
  • David Roy
  • Luigi Boschetti
  • Ivan Csiszar
  • Diane Davies
  • Stefania Korontzi
  • W. Schroeder
  • Kelley O’Neal
  • Jeff Morisette
  1. 1.Department of GeographyUniversity of MarylandCollege ParkUSA

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