Use este identificador para citar ou linkar para este item: http://repositorio.ufla.br/jspui/handle/1/33689
Título: Avaliação de florestas primárias e secundárias em app do Rio Teles Pires por meio de sensores orbitais
Título(s) alternativo(s): Evaluation of primary and secondary forests in app of the Teles Pires River by orbital sensors
Palavras-chave: Matas ripárias
Recuperação florestal
Sensoriamento remoto
Riparian vegetation
Forest recovery
Remote sensing
Data do documento: 2018
Editor: Centro Científico Conhecer
Citação: SANTANA, L. S. et al. Avaliação de florestas primárias e secundárias em app do Rio Teles Pires por meio de sensores orbitais. Agrarian Academy, Goiânia, v. 5, n. 9, p. 72-82, 2018.
Resumo: Due to the world demand for food, Brazil faces a difficult dilemma, allying agricultural expansion and environmental preservation. For this, research about forest changes and permanent preservation areas (PPA) has been systematically implemented and one of the tools explored in recent decades is remote sensing. PPA area’s dynamics study in rivers can help in understanding the temporal changes contributing to water research and adequacy in legislation. The objective of this work was to identify the dynamics of primary and secondary forests in river Teles Pires riparian forests in agricultural activity region by remote sensing. Study area contemplates the Teles Pires riverbanks, in the border of the Sinop and Sorriso County (MT), in an 86 km perimeter. For this analysis, orbital images set of the Landsat 05 and 08 sensors were acquired in the years 2003, 2010 and 2017. For the primary and secondary forests study, an RGB composition was applied to the images and an NDVI vegetation index was applied, then secondary forest points were identified in the 2003 scene, thus comparing forest evolution in the next years 2010 and 2017. The results indicated out a significant evolution in the river Teles Pires PPA areas and show that agricultural regions produce in compliance with the current environmental legislation. The remote sensing data are suitable for such measurement and can contribute to analyze of changes in legislation and water conservation.
URI: http://www.conhecer.org.br/Agrarian%20Academy/2018a/avaliacao%20de%20florestas.pdf
http://repositorio.ufla.br/jspui/handle/1/33689
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