Fire foci assessment in the Western Amazon (2000-2015)
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作者:
Ribeiro, Thais Marcolino
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Univ Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, BrazilUniv Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, Brazil
Ribeiro, Thais Marcolino
[1
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de Mendonca, Bruno Araujo Furtado
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Univ Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, BrazilUniv Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, Brazil
de Mendonca, Bruno Araujo Furtado
[1
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de Oliveira-Junior, Jose Francisco
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Univ Fed Alagoas, Inst Ciencias Ambientais, BR-57072900 Maceio, AL, BrazilUniv Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, Brazil
de Oliveira-Junior, Jose Francisco
[2
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Fernandes-Filho, Elpidio Inacio
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Univ Fed Vicosa, Dept Solos, Ave PH Rolfs, BR-36570900 Vicosa, MG, BrazilUniv Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, Brazil
Fernandes-Filho, Elpidio Inacio
[3
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机构:
[1] Univ Fed Rural Rio de Janeiro, Dept Silvicultura, Rua Floresta, BR-23897005 Seropedica, RJ, Brazil
Burning is a practice widely used by rural producers in Brazil, mainly in the Amazon region, as the main instrument to prepare the land for agriculture. In this study, we used the data of all heat foci in the Western Amazon, Brazil, provided by the National Institute for Space Research through its Database of Burns (BDQueimadas). This database often has some redundancies owing to the detection of the same burn more than once or capture of the same fire focus by different environmental satellites, resulting in an overestimation of data. In the present study, we optimize a method to reduce redundancies in an extensive database for the Western Amazon for the time period of 2000-2015, using a model for the identification and exclusion of duplicate heat foci, utilizing the ArcGIS 10.2 software. Kernel density estimates were used and correlated with average precipitation of each year obtained from Tropical Rainfall Measuring Mission (TRMM) satellite (product 3B43). From a total of 1,273,971 heat foci obtained from all environmental satellites, only 433,267 were maintained for the whole period of study (2001-2015), indicating a reduction of approximately 66%. NPP-375 (Suomi National Polar-orbiting Partnership, 375 m of spatial resolution) was the most redundant environmental satellite. The fire foci occurrence showed high correlations with rainfall as well as El Nino events. This work could also delineate areas in the Western Amazon that are most vulnerable to drought and resulting fires.
机构:
Natl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil
Iowa State Univ, Agr & Biosyst Engn, Ames, IA 50011 USANatl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil
Martins, Vitor S.
Novo, Evlyn M. L. M.
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Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil
Novo, Evlyn M. L. M.
Lyapustin, Alexei
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NASA, Goddard Space Flight Ctr, Greenbelt, MD USANatl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil
Lyapustin, Alexei
Aragao, Luiz E. O. C.
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Natl Inst Space Res INPE, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
Univ Exeter, Coll Life & Environm Sci, Exeter EX4 4RJ, Devon, EnglandNatl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil
Aragao, Luiz E. O. C.
Freitas, Saulo R.
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Univ Space Res Assoc, Goddard Earth Sci Technol & Res Global Modeling &, NASA, Goddard Space Flight Ctr, Greenbelt, MD USANatl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil
Freitas, Saulo R.
Barbosa, Claudio C. F.
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Natl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, BrazilNatl Inst Space Res INPE, Image Proc Div, Sao Jose Dos Campos, SP, Brazil