%0 Conference Proceedings
%4 sid.inpe.br/marte2/2017/10.27.13.19.32
%2 sid.inpe.br/marte2/2017/10.27.13.19.33
%@isbn 978-85-17-00088-1
%F 59852
%T An assessment of burned area/drought relationship from global remote sensing in Brazilian biomes
%D 2017
%A Nogueira, Joana Messias Pereira,
%A Mouillot, Florent,
%A Barbosa, João Paulo Rodrigues Alves Delfino,
%A Chuine, Isabelle,
%A Rambal, Serge,
%@electronicmailaddress joananog@yahoo.com.br
%E Gherardi, Douglas Francisco Marcolino,
%E Aragão, Luiz Eduardo Oliveira e Cruz de,
%B Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)
%C Santos
%8 28-31 maio 2017
%I Instituto Nacional de Pesquisas Espaciais (INPE)
%J São José dos Campos
%P 3830-3837
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais (INPE)
%X Fires are complex processes having important impacts on ecosystem functioning with societal consequences, especially in Brazilian biomes. The fire activity is determined by complex feedbacks between climate and vegetation types, which respond differently to water deficit. Fire danger indices (FDI) based on daily meteorological information are used as proxies for fuel flammability. In this study, we evaluated the performances of the most used FDI at main Brazilian biomes (Amazonia Forest, Atlantic Forest, Cerrado, and Caatinga) using global remote sensing burned area (BA) products. We computed 12 FDI using meteorological CRU-NCEP dataset at 0.5° resolution from 2002 to 2011. The land cover was evaluated using a fuelbelds map and the monthly BA from the MCD45A1, ESA Fire Cci, GFED4 and GFED4s datasets. Each FDI/BA relationship was computed using R2 and evaluated with Principal Component Analysis (PCA).We applied a general linear model (GLM) for main PCA axes to predict fire occurrence per biome. All FDIs and BA showed good relation (R² >0.8), except for SPEI (R² < 0.2). FDIs with highest soil field capacities showed the best correlation for Cerrado and Caatinga and the FDIs for shallow soil to the Brazilian tropical forests. The GLM showed highest accuracy (>50%) to predict the fire occurrence in the Amazonia and Cerrado. These results suggest that FDIs are biome-specific to explain the seasonal course of burned in Brazilian biomes, and that global burned area products from remote sensing are consistent to each other. Selected FDIs should be used for fire danger forecast in each biome.
%9 Monitoramento de queimadas
%@language en
%3 59852.pdf