Remote Sensing Applications and Decision Support

Spatiotemporal NDVI, LAI, albedo, and surface temperature dynamics in the southwest of the Brazilian Amazon forest

[+] Author Affiliations
Carlos Alexandre Santos Querino

Centro Gestor e Operacional do Sistema de Proteção da Amazônia, Sistema de Proteção da Amazônia, Centro Regional de Porto Velho, Divisão de Meteorologia. Av. Lauro Sodré, 6500, Aeroporto, Porto Velho–RO 76803-260, Brazil

Universidade Federal de Mato Grosso, Instituto de Física, Programa de Pós-Graduação em Física Ambiental, Av. Fernando Corrêa da Costa, 2367, Cuiabá,-MT 78.060-900, Brazil

Cristina Aparecida Beneditti, Marcelo José Gama da Silva, Luiz Alves dos Santos Neto

Centro Gestor e Operacional do Sistema de Proteção da Amazônia, Sistema de Proteção da Amazônia, Centro Regional de Porto Velho, Divisão de Meteorologia. Av. Lauro Sodré, 6500, Aeroporto, Porto Velho–RO 76803-260, Brazil

Nadja Gomes Machado

Universidade Federal de Mato Grosso, Instituto de Física, Programa de Pós-Graduação em Física Ambiental, Av. Fernando Corrêa da Costa, 2367, Cuiabá,-MT 78.060-900, Brazil

Instituto Federal de Mato Grosso, Laboratório da Biologia da Conservação, Av. Juliano Costa Marques, s/n, Cuiabá-MT 78050-560, Brazil

Juliane Kayse Albuquerque da Silva Querino

Universidade Federal de Mato Grosso, Instituto de Física, Programa de Pós-Graduação em Física Ambiental, Av. Fernando Corrêa da Costa, 2367, Cuiabá,-MT 78.060-900, Brazil

Universidade Federal do Amazonas, Instituto de Educação, Agricultura e Ambiente, Rua 29 de Agosto, 786, Humaitá-AM 69800-000, Brazil

Marcelo Sacardi Biudes

Universidade Federal de Mato Grosso, Instituto de Física, Programa de Pós-Graduação em Física Ambiental, Av. Fernando Corrêa da Costa, 2367, Cuiabá,-MT 78.060-900, Brazil

J. Appl. Remote Sens. 10(2), 026007 (Apr 21, 2016). doi:10.1117/1.JRS.10.026007
History: Received December 2, 2015; Accepted April 5, 2016
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Abstract.  During the last decades, the Amazon rainforest underwent uncontrolled exploitation that modified its environmental variables. The current paper analyzes the spatiotemporal dynamics of the normalized difference vegetation index (NDVI), leaf area index (LAI), and surface albedo, and temperature in two different vegetation covers, preserved and deforested areas. We calculated the remote-sensing products using Landsat 5 TM images obtained during the dry season 1984, 1991, 2000, and 2011 of the central region of the State of Rondônia, Brazil. The results showed a reduction of vegetation indexes NDVI (0.70 in 1984 to 0.27 in 2011) and LAI (1.8 in 1984 to 0.3 in 2011), with an increase of surface albedo (0.12 in 1984 to 0.20 in 2011) and temperature (24°C in 1984 to 30°C in 2011) as the effect of the rainforest converted in grassland during the study period. No changes in any variables were observed in the protected area. Forest conversion into grassland resulted in a decrease of 69% in NDVI and 110% in LAI and a rise of 59% and 24% in albedo and surface temperature, respectively.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Carlos Alexandre Santos Querino ; Cristina Aparecida Beneditti ; Nadja Gomes Machado ; Marcelo José Gama da Silva ; Juliane Kayse Albuquerque da Silva Querino, et al.
"Spatiotemporal NDVI, LAI, albedo, and surface temperature dynamics in the southwest of the Brazilian Amazon forest", J. Appl. Remote Sens. 10(2), 026007 (Apr 21, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.026007


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