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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.)

Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets

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Shimabukuro, Yosio Edemir [1] ; Dutra, Andeise Cerqueira [1] ; Arai, Egidio [1] ; Duarte, Valdete [1] ; Godinho Cassol, Henrique Luis [1] ; Pereira, Gabriel [2, 3] ; Cardozo, Francielle da Silva [4]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Natl Inst Space Res, Earth Observat & Geoinformat Div, BR-12227010 Sao Jose Dos Campos, SP - Brazil
[2] Univ Fed Sao Joao del Rei, Dept Geosci, BR-36307352 Sao Joao Del Rei, MG - Brazil
[3] Univ Sao Paulo, Fac Philosophy Languages & Literature & Human Sci, BR-05508080 Sao Paulo, SP - Brazil
[4] Univ Fed Sao Joao del Rei, Grad Program Geog, BR-36307352 Sao Joao Del Rei, MG - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: REMOTE SENSING; v. 12, n. 22 NOV 2020.
Citações Web of Science: 4

Quantifying forest fires remain a challenging task for the implementation of public policies aimed to mitigate climate change. In this paper, we propose a new method to provide an annual burned area map of Mato Grosso State located in the Brazilian Amazon region, taking advantage of the high spatial and temporal resolution sensors. The method consists of generating the vegetation, soil, and shade fraction images by applying the Linear Spectral Mixing Model (LSMM) to the Landsat-8 OLI (Operational Land Imager), PROBA-V (Project for On-Board Autonomy-Vegetation), and Suomi NPP-VIIRS (National Polar-Orbiting Partnership-Visible Infrared Imaging Radiometer Suite) datasets. The shade fraction images highlight the burned areas, in which values are represented by low reflectance of ground targets, and the mapping was performed using an unsupervised classifier. Burned areas were evaluated in terms of land use and land cover classes over the Amazon, Cerrado and Pantanal biomes in the Mato Grosso State. Our results showed that most of the burned areas occurred in non-forested areas (66.57%) and old deforestation (21.54%). However, burned areas over forestlands (11.03%), causing forest degradation, reached more than double compared with burned areas identified in consolidated croplands (5.32%). The results obtained were validated using the Sentinel-2 data and compared with active fire data and existing global burned areas products, such as the MODIS (Moderate Resolution Imaging Spectroradiometer product) MCD64A1 and MCD45A1, and Fire CCI (ESA Climate Change Initiative) products. Although there is a good visual agreement among the analyzed products, the areas estimated were quite different. Our results presented correlation of 51% with Sentinel-2 and agreement of r(2) = 0.31, r(2) = 0.29, and r(2) = 0.43 with MCD64A1, MCD45A1, and Fire CCI products, respectively. However, considering the active fire data, it was achieved the better performance between active fire presence and burn mapping (92%). The proposed method provided a general perspective about the patterns of fire in various biomes of Mato Grosso State, Brazil, that are important for the environmental studies, specially related to fire severity, regeneration, and greenhouse gas emissions. (AU)

Processo FAPESP: 18/14423-4 - Modelagem decenal das emissões brutas de carbono derivadas de incêndios florestais na Amazônia
Beneficiário:Henrique Luis Godinho Cassol
Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado