Satellite-based automated burned area detection: A performance assessment of the MODIS MCD45A1 in the Brazilian savanna

•All randomly selected MCD45A1 polygons corresponded to actual burned areas.•MCD45A1 detections showed similar precision over natural physiognomies.•MCD45A1 precision varied according to burning severity and time lag in satellite observation.•MCD45A omissions depended on land-cover and landscape pat...

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Published inInternational journal of applied earth observation and geoinformation Vol. 36; pp. 94 - 102
Main Authors Araújo, Fernando Moreira De, Ferreira, Laerte G.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.04.2015
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ISSN1569-8432
1872-826X
DOI10.1016/j.jag.2014.10.009

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Abstract •All randomly selected MCD45A1 polygons corresponded to actual burned areas.•MCD45A1 detections showed similar precision over natural physiognomies.•MCD45A1 precision varied according to burning severity and time lag in satellite observation.•MCD45A omissions depended on land-cover and landscape patterns and conditions.•MCD45A1 detections were highly correlated to thermal anomaly data. Burnings, which cause major changes to the environment, can be effectively monitored via satellite data, regarding both the identification of active fires and the estimation of burned areas. Among the many orbital sensors suitable for mapping burned areas on global and regional scales, the moderate resolution imaging spectroradiometer (MODIS), on board the Terra and Aqua platforms, has been the most widely utilized. In this study, the performance of the MODIS MCD45A1 burned area product was thoroughly evaluated in the Brazilian savanna, the second largest biome in South America and a global biodiversity hotspot, characterized by a conspicuous climatic seasonality and the systematic occurrence of natural and anthropogenic fires. Overall, September MCD45A1 polygons (2000–2012) compared well to the Landsat-based reference mapping (r2=0.92) and were closely accompanied, on a monthly basis, by MOD14 and MYD14 hotspots (r2=0.89), although large omissions errors, linked to landscape patterns, structures, and overall conditions depicted in each reference image, were observed. In spite of its spatial and temporal limitations, the MCD45A1 product proved instrumental for mapping and understanding fire behavior and impacts on the Cerrado landscapes.
AbstractList Burnings, which cause major changes to the environment, can be effectively monitored via satellite data, regarding both the identification of active fires and the estimation of burned areas. Among the many orbital sensors suitable for mapping burned areas on global and regional scales, the moderate resolution imaging spectroradiometer (MODIS), on board the Terra and Aqua platforms, has been the most widely utilized. In this study, the performance of the MODIS MCD45A1 burned area product was thoroughly evaluated in the Brazilian savanna, the second largest biome in South America and a global biodiversity hotspot, characterized by a conspicuous climatic seasonality and the systematic occurrence of natural and anthropogenic fires. Overall, September MCD45A1 polygons (2000–2012) compared well to the Landsat-based reference mapping (r²=0.92) and were closely accompanied, on a monthly basis, by MOD14 and MYD14 hotspots (r²=0.89), although large omissions errors, linked to landscape patterns, structures, and overall conditions depicted in each reference image, were observed. In spite of its spatial and temporal limitations, the MCD45A1 product proved instrumental for mapping and understanding fire behavior and impacts on the Cerrado landscapes.
•All randomly selected MCD45A1 polygons corresponded to actual burned areas.•MCD45A1 detections showed similar precision over natural physiognomies.•MCD45A1 precision varied according to burning severity and time lag in satellite observation.•MCD45A omissions depended on land-cover and landscape patterns and conditions.•MCD45A1 detections were highly correlated to thermal anomaly data. Burnings, which cause major changes to the environment, can be effectively monitored via satellite data, regarding both the identification of active fires and the estimation of burned areas. Among the many orbital sensors suitable for mapping burned areas on global and regional scales, the moderate resolution imaging spectroradiometer (MODIS), on board the Terra and Aqua platforms, has been the most widely utilized. In this study, the performance of the MODIS MCD45A1 burned area product was thoroughly evaluated in the Brazilian savanna, the second largest biome in South America and a global biodiversity hotspot, characterized by a conspicuous climatic seasonality and the systematic occurrence of natural and anthropogenic fires. Overall, September MCD45A1 polygons (2000–2012) compared well to the Landsat-based reference mapping (r2=0.92) and were closely accompanied, on a monthly basis, by MOD14 and MYD14 hotspots (r2=0.89), although large omissions errors, linked to landscape patterns, structures, and overall conditions depicted in each reference image, were observed. In spite of its spatial and temporal limitations, the MCD45A1 product proved instrumental for mapping and understanding fire behavior and impacts on the Cerrado landscapes.
Author Ferreira, Laerte G.
Araújo, Fernando Moreira De
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SSID ssj0017768
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Snippet •All randomly selected MCD45A1 polygons corresponded to actual burned areas.•MCD45A1 detections showed similar precision over natural physiognomies.•MCD45A1...
Burnings, which cause major changes to the environment, can be effectively monitored via satellite data, regarding both the identification of active fires and...
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StartPage 94
SubjectTerms automation
biodiversity
Burned area detection
cerrado
ecosystems
fire behavior
fires
landscapes
moderate resolution imaging spectroradiometer
MODIS MCD45A1
remote sensing
satellites
Savannas
South America
Title Satellite-based automated burned area detection: A performance assessment of the MODIS MCD45A1 in the Brazilian savanna
URI https://dx.doi.org/10.1016/j.jag.2014.10.009
https://www.proquest.com/docview/2388735217
Volume 36
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