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A MODIS direct broadcast algorithm for mapping wildfire burned area in the western United States by S.P. Urbanski; J.M. Salmon; B.L. Nordgren; W.M. Hao is a Environmental Science article available to read on EtoBox.

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Improved wildland fire emission inventory methods are needed to support air quality forecasting and guide the development of air shed management strategies. Air quality forecasting requires dynamic fire emission estimates that are generated in a timely manner to support real-time operations. In the regulatory and planning realm, emission inventories are essential for quantitatively assessing the contribution of wildfire to air pollution. The development of wildland fire emission inventories depends on burned area as a critical input. This study presents a Moderate Resolution Imaging Spectroradiometer (MODIS)direct broadcast (DB) burned area mapping algorithm designed to support air quality forecasting and emission inventory development. The algorithm combines active fire locations and single satellite scene burn scar detections to provide a rapid yet robust mapping of burned area. Using the U.S. Forest Service Fire Sciences Laboratory (FiSL) MODIS-DB receiving station in Missoula, Montana, the algorithm provided daily measurements of burned area for wildfire events in the western U.S. in 2006 and 2007. We evaluated the algorithm's fire detection rate and burned area mapping using f

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Author

S.P. Urbanski; J.M. Salmon; B.L. Nordgren; W.M. Hao

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0034-4257)

Published

2009

Language

EN

Field

Environmental Science (Physical Sciences)