Assigning dates and identifying areas affected by fires in Portugal based on MODIS data

An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called...

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Vydané v:Anais da Academia Brasileira de Ciências Ročník 89; číslo 3; s. 1487 - 1501
Hlavní autori: PANISSET, JESSICA, DACAMARA, CARLOS C., LIBONATI, RENATA, PERES, LEONARDO F., CALADO, TERESA J., BARROS, ANA
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Brazil Academia Brasileira de Ciências 01.07.2017
Predmet:
burned area
MODIS
MULTIDISCIPLINARY SCIENCES
Portugal
remote sensing
remote sensing
burned area
Portugal
MODIS
ISSN:0001-3765, 1678-2690, 1678-2690
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Shrnutí:An automated procedure is here presented that allows identifying and dating burned areas in Portugal using values of daily reflectance from near-infrared and middle-infrared bands, as obtained from the MODIS instrument. The algorithm detects persistent changes in monthly composites of the so-called (V,W) Burn-Sensitive Index and the day of maximum change in daily time series of W is in turn identified as the day of the burning event. The procedure is tested for 2005, the second worst fire season ever recorded in Portugal. Comparison between the obtained burned area map and the reference derived from Landsat imagery resulted in a Proportion Correct of 95.6%. Despite being applied only to the months of August and September, the algorithm is able to identify almost two-thirds of all scars that have occurred during the entire year of 2005. An assessment of the temporal accuracy of the dating procedure was also conducted, showing that 75% of estimated dates presented deviations between -5 and 5 days from dates of hotspots derived from the MODIS instrument. Information about location and date of burning events as provided by the proposed procedure may be viewed as complementary to the currently available official maps based on end-of-season Landsat imagery.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0001-3765
1678-2690
1678-2690
DOI:10.1590/0001-3765201720160707