arrow
Return

An active-fire based burned area mapping algorithm for the MODIS sensor

delete2009-02-01
delete507
PRE
AI
L
Louis Giglio *
T
Tatiana Loboda
D
David P. Roy
B
Brad Quayle
C
Christopher O. Justice
DOI:10.1016/j.rse.2008.10.006delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
We present an automated method for mapping burned areas using 500-m Moderate Resolution Imaging Spectroradiometer (MODIS) imagery coupled with 1-km MODIS active fire observations. The algorithm applies dynamic thresholds to composite imagery generated from a burn-sensitive vegetation index and a measure of temporal texture. Cumulative active fire maps are used to guide the selection of burned and unburned training samples. An accuracy assessment for three geographically diverse regions (central Siberia, the western United States, and southern Africa) was performed using high resolution burned area maps derived from Landsat imagery. Mapped burned areas were accurate to within approximately 10% in all regions except the high-tree-cover sub-region of southern Africa, where the MODIS burn maps underestimated the area burned by 41%. We estimate the minimum detectable burn size for reliable detection by our algorithm to be. on the order of 120 ha. (C) 2008 Elsevier Inc. All rights reserved.
Keywords:
Fire
Biomass burning
Burn scar
Burned area
MODIS
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Remote Sensing of Environment cover
Remote Sensing of Environment
IF:
11.4
Papers:
1.1W
Citations:
9.4W

Organization

S
Science Systems and Applications Inc
Scholars:
922
Papers: 773
Citations: 0
S
South Dakota State University
Scholars:
3.7K
Papers: 2.8K
Citations: 3.9K
University System of Maryland cover
University System of Maryland
Scholars:
6.5W
Papers: 5.6W
Citations: 113
researcher View more organizations
Cited Papers

Cited Papers

Energy efficient distillation by optimal distribution of heating and cooling requirements
err2000-01-01
err0
PREAI
errTorben Ravn Andersen; Gino Siragusa; Bjarne Andresen; Peter Salamon; Sten Bay Jørgensen
errShare
errSave
errShare
errSave
researcher View more