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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Assessing VIIRS capabilities to improve burned area mapping over the Brazilian Cerrado

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Autor(es):
Santos, Filippe L. M. [1] ; Libonati, Renata [1, 2, 3] ; Peres, Leonardo F. [1, 4] ; Pereira, Allan A. [5] ; Narcizo, Luiza C. [1] ; Rodrigues, Julia A. [1] ; Oom, Duarte [2, 6] ; Pereira, Jose M. C. [2] ; Schroeder, Wilfrid [7] ; Setzer, Alberto W. [8]
Número total de Autores: 10
Afiliação do(s) autor(es):
[1] Univ Fed Rio de Janeiro, Inst Geociencias, Dept Meteorol, BR-21941916 Rio De Janeiro, RJ - Brazil
[2] Univ Lisbon, Forest Res Ctr, Sch Agr, Lisbon - Portugal
[3] Univ Lisbon, Fac Ciencias, Inst Dom Luiz IDL, Lisbon - Portugal
[4] Inst Portugues Mar Atmosfera IPMA, Lisbon - Portugal
[5] Inst Fed Ciencia & Tecnol Sul Minas Gerais, Muzambinho, MG - Brazil
[6] European Commiss, Joint Res Ctr, Ispra, VA - Italy
[7] NOAA, Satellite Anal Branch, NESDIS, College Pk, MD - USA
[8] Inst Nacl Pesquisas Espaciais, Ctr Previsao Tempo & Estudos Climat, Programa Monitoramento Queimada Satelites, Sao Jose Dos Campos, SP - Brazil
Número total de Afiliações: 8
Tipo de documento: Artigo Científico
Fonte: International Journal of Remote Sensing; v. 41, n. 21, p. 8300-8327, NOV 1 2020.
Citações Web of Science: 1
Resumo

Coarse spatial resolution of remote sensing imagery still hampers a comprehensive representation of long-term fire patterns at the regional level, in particular in areas characterized by small and sparse fire scars. The Visible Infrared Imaging Radiometer Suite (VIIRS) sensor launched in 2011 upgrades the spatial resolution (375 m) and gives continuity to the Earth long-term monitoring initiated by Advanced Very High-Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) sensors. Therefore, aiming to assess VIIRS 375 m imagery capabilities to improve the accuracy and reliability of fire scars mapping over the Brazilian Cerrado, we developed a burned area detection algorithm (VIIRS-SVM) based on machine learning techniques. For this purpose, the (V, W) burnt index adjusted to VIIRS near-infrared and middle-infrared channels and the One-Class Support Vector Machine algorithm were used for burned area identification. The VIIRS-SVM algorithm was applied over the Brazilian Cerrado and evaluated against reference scars from 15 Landsat-8 scenes during the fire season of 2015, covering a large area with substantial variability in terms of fire scars characteristics. We also performed a comparison with the MCD64A1 collection-6 product over the validation sites. Relying on VIIRS 375 m imagery, the VIIRS-SVM algorithm allows an enhancement of 25% in discrimination of small and medium fire scars (25 to 1000 ha), when compared to the MODIS-derived product. Results have demonstrated that the enhancement of medium and small fire scars mapping over the Cerrado is possible using VIIRS sensor capabilities. (AU)

Processo FAPESP: 15/01389-4 - Sistema brasileiro Fogo-Superfície-Atmosfera (BrFLAS)
Beneficiário:Alberto Waingort Setzer
Modalidade de apoio: Auxílio à Pesquisa - Regular