Assigning dates and identifying areas affected by fires in Portugal based on MODIS data
Document title: Assigning dates and identifying areas affected by fires in Portugal based on MODIS data
Journal: Anais da Academia Brasileira de Ciencias
Database: PERIÓDICA
System number: 000412247
ISSN: 0001-3765
Authors: 1
2
1
1
2
3
Institutions: 1Universidade Federal do Rio de Janeiro, Departamento de Meteorologia, Rio de Janeiro. Brasil
2Universidade de Lisboa, Faculdade de Ciencias, Lisboa. Portugal
3Oregon State University, College of Forestry, Corvallis, Oregon. Brasil
Year:
Season: Sep
Volumen: 89
Number: 3
Pages: 1487-1502
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Experimental, aplicado
English abstract 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
Disciplines: Biología,
Geociencias
Keyword: Ecología,
Incendios forestales,
Percepción remota,
Reflectancia,
Imágenes de satélite
Keyword: Biology,
Earth sciences,
Ecology,
Forest fires,
Remote sensing,
Reflectance,
Satellite images
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