Remote Sensing and Geoprocessing as a Subsidy for Fire Management and Fighting Forest Fires in Federal Conservation Units
DOI:
https://doi.org/10.37002/biodiversidadebrasileira.v11i2.1685Keywords:
Geoprocessing, remote sensing, protected areas, environmental protection, integrated fire managementAbstract
Geoprocessing is a very important tool in environmental conservation. Spatial analyzes help on the management of protected areas not only by allowing to monitor the environmental impacts caused by anthropic and natural agents, such as deforestation, wildfires, flooding, etc., but also by allowing to elaborate studies on actions to mitigate these impacts. In this regard, Divisão de Monitoramento e Informações Ambientais/DMIF from Coordenação Geral de Proteção/CGPRO/ICMBio is responsible for providing data and carrying out spatial information to help the protection measures in the brazilian federal protected areas. One of the most important theme in protection is fire. DMIF uses satellite images from the sensor MODIS to map the burned areas, provides spatial analysis of fire's concentration and produces the fuel load maps, a remote sensing method used to indicate priority areas for Integrated Fire Management/IFM.
References
Anderson LO, Latorre ML, Shimabukuro YE, Arai E & Carvalho Júnior OD. Sensor MODIS: uma abordagem geral. São José dos Campos: INPE, 58 (2003).
Asner GP, et al. "Ecosystem structure throughout the Brazilian Amazon from Landsat observations and automated spectral unmixing." Earth Interactions 9.7 (2005): 1-31.
Barradas ACS. "A Gestão do fogo na Estação Ecológica Serra Geral do Tocantins, Brasil." Dissertação (Mestrado Profissional em Biodiversidade em Unidades de Conservação). Escola Nacional de Botânica/Jardim Botânico do Rio de Janeiro: Rio de Janeiro (2017), 135p.
Bond WJ, Keeley JE. "Fire as a global ‘herbivore': the ecology and evolution of flammable ecosystems." Trends in ecology & evolution 20.7 (2005): 387-394.
Cochrane MA, Schulze MD. "Fire as a Recurrent Event in Tropical Forests of the Eastern Amazon: Effects on Forest Structure, Biomass, and Species Composition 1." Biotropica 31.1 (1999): 2-16.
Cochrane MA, Ryan KC. "Fire and fire ecology: Concepts and principles." Tropical fire ecology. Springer, Berlin, Heidelberg, (2009). 25-62.
Franke J, et al. "Fuel load mapping in the Brazilian Cerrado in support of integrated fire management." Remote sensing of environment 217 (2018): 221-232.
Fitz, PR. Cartografia básica. Oficina de Textos, 2008.
Hardesty J, Myers R, Fulks W. Fire, ecosystems, and people: a preliminary assessment of fire as a global conservation issue. The George Wright Forum 22: 78-87 (2005).
INPE. Banco de Dados de queimadas. Disponível em: http://queimadas.dgi.inpe.br/queimadas/bdqueimadas. Acesso em: 25 de junho. 2020
Lecerf R, et al. "Monitoring land use and land cover changes in oceanic and fragmented landscapes with reconstructed MODIS time series." International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, (2005). IEEE, 2005.
Myers RL. "Living with fire—Sustaining ecosystems & livelihoods through integrated fire management. Global Fire Initiative, The Nature Conservancy, Tallahassee, FL, 28 pp." (2006).
Pezzopane JEM., Neto SNO, Vilela MF. "Risco de incêndios em função da característica do clima, relevo e cobertura do solo." Floresta e Ambiente 8. Único (2012): 161-166.
Ratter JA, Ribeiro JF, Bridgewater S. "The Brazilian cerrado vegetation and threats to its biodiversity." Annals of Botany 80.3 (1997): 223-230.
Schmidt IB, Fonseca CB, Ferreira MC & Sato MN. "Implementação do Programa Piloto de Manejo Integrado do Fogo em três Unidades de Conservação do Cerrado". Biodiversidade Brasileira, 6(2) (2016): 55-70.
Simon MF, et al. "Recent assembly of the Cerrado, a neotropical plant diversity hotspot, by in situ evolution of adaptations to fire." Proceedings of the National Academy of Sciences 106.48 (2009): 20359-20364.
Strahler AH, Muller J, Lucht W, Schaaf C, Tsang T, Gao F, & Barnsley MJ. MODIS BRDF/albedo product: algorithm theoretical basis document version 5.0. MODIS documentation, 23.4 (1999), 42-47.
Zhan X, et al. "Detection of land cover changes using MODIS 250m data."Remote Sensing of Environment" 83.1-2 (2002): 336-350.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Biodiversidade Brasileira - BioBrasil
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Os artigos estão licenciados sob uma licença Creative Commons Atribuição-NãoComercial-SemDerivações 4.0 Internacional (CC BY-NC-ND 4.0). O acesso é livre e gratuito para download e leitura, ou seja, é permitido copiar e redistribuir o material em qualquer mídia ou formato.
