NDLI: Overview of fire foci causes and locations in Brazil based on meteorological satellite data from 1998 to 2011

Content Provider	Springer Nature Link
Author	Caúla, R. H. Oliveira Júnior, J. F. Lyra, G. B. Delgado, R. C. Heilbron Filho, P. F. L.
Copyright Year	2015
Abstract	We evaluated the distribution, percentage, and homogeneous regions of fire foci in Brazil over 1998–2011. Included are numbers of fire foci by regions and states as well as their seasonal and monthly variations, with emphasis on human activities and their relationships with producing systems and rainfall inhibitors. We used data from forest fire meteorological satellites, obtained from the Centro de Previsão do Tempo e Estudos Climáticos. Evaluation of regional fire foci distributions gave 37.15 % for the central west and just 1.75 % in the south. Brazilian regions with the highest densities of forest fires per unit area were the northeast, central west, and north. Lowest densities were in the north, southeast, and south. The states of Mato Grosso, Pará, Maranhão, Bahia, Rondônia, and Tocantins had the greatest numbers of fire foci during our study period. The Federal District and the states of Sergipe, Espírito Santo, Rio de Janeiro, Rio Grande do Norte, and Alagoas had the smallest numbers. Spring (62.2 %) and winter (28.7 %) had higher frequencies than summer (6.7 %) and autumn (2.7 %). A clustering technique showed three homogeneous regions of fire foci in Brazil. The regional grouping technique showed the influence of synoptic systems and large-scale patterns of fires in the country. In addition to the use of NOAA-12 satellite images for monitoring Brazilian fire foci, orbital platforms such as MMODIS-01D and T-AQUA can be used. Finally, anthropogenic activities (deforestation, agriculture, livestock, mining, and industrial) and the variability of meteorological systems affected the fire increase during the study period.
Starting Page	1497
Ending Page	1508
Page Count	12
File Format	PDF
ISSN	18666280
Journal	Environmental Earth Sciences
Volume Number	74
Issue Number	2
e-ISSN	18666299
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-02-18
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Remote sensing Forest ecosystems Forest fires Statistical methods Deforestation Meteorological systems Geology Hydrology/Water Resources Geochemistry Environmental Science and Engineering Terrestrial Pollution Biogeosciences
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change Earth-Surface Processes Soil Science Environmental Chemistry Pollution Geology Water Science and Technology

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