DocumentCode
106068
Title
Burned-Area Mapping at the Subpixel Scale With MODIS Images
Author
Feng Ling ; Yun Du ; Yihang Zhang ; Xiaodong Li ; Fei Xiao
Author_Institution
Inst. of Geodesy & Geophys., Wuhan, China
Volume
12
Issue
9
fYear
2015
fDate
Sept. 2015
Firstpage
1963
Lastpage
1967
Abstract
The Moderate Resolution Imaging Spectroradiometer (MODIS) is an important data set in global burned-area mapping. The MODIS global burned-area product has a coarse spatial resolution at approximately 500 m, which often introduces errors to the mapped burned areas. In this letter, a novel subpixel mapping (SPM) approach was proposed to produce burned-area maps at the fine spatial resolution similar to Landsat imagery, by exploring the spectral and spatial information provided by the second and fifth bands of MODIS. The proposed SPM approach aims to refine the estimate of burned areas, which have been detected by the MODIS global burned-area product. The performance of the proposed SPM approach was assessed with an experiment area containing six burned areas, by comparing with the MODIS burned-area product MCD45. The result shows that the average omission error decreased from 52.26% for MCD45 to 16.74% for SPM, and the average commission error decreased from 21.76% for MCD45 to 12.54% for SPM. The kappa value increased from 0.5583 for MCD45 to 0.8756 for SPM, indicating that the proposed SPM approach is effective in reducing the influence of the coarse spatial resolution of MODIS imagery in mapping a burned area and refining existing global burned-area products.
Keywords
terrain mapping; Landsat imagery; MODIS global burned-area product; MODIS imagery; SPM approach; burned area estimation; coarse spatial resolution; commission error; fine spatial resolution; global burned-area mapping; moderate resolution imaging spectroradiometer; subpixel mapping; subpixel scale; Biological system modeling; Earth; MODIS; Remote sensing; Satellites; Spatial resolution; Burned area; Moderate Resolution Imaging Spectroradiometer (MODIS); mixed pixel; subpixel mapping (SPM);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2015.2441135
Filename
7128656
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