Monitoring of vegetation cover through biophysical indices and management of protected areas

Authors

  • Alexsandro Bezerra Correia Bilar Universidade Federal de Pernambuco (UFPE) e Universidade Federal Rural de Pernambuco (UFRPE)
  • Rejane Magalhães de Mendonça Pimentel Universidade Federal Rural de Pernambuco (UFRPE)
  • Michelle Adelino Cerqueira Universidade Federal Rural de Pernambuco (UFRPE)

DOI:

https://doi.org/10.5007/2177-5230.2018v33n68p236

Abstract

The maintenance of vegetation diversity established in caatinga areas is at great risk, and the creation of protected areas is a vital strategy for their preservation. The use of remote sensing and the application of vegetation indices will contribute to greater efficiency in its monitoring, which is not a common practice in Brazil. The objective of this study was to identify the condition of the vegetation cover of a nature conservation unit, through the application of biophysical indexes: NDVI, LAI, SAVI, EVI and NDWI, generated from the analysis of orbital images for the years 2007, 2013 and 2016. It was verified that the vegetation cover of this protected area is relatively preserved, with the detection of exposed areas and under water stress, indispensable information for the management of legally protected spaces.

Author Biographies

Alexsandro Bezerra Correia Bilar, Universidade Federal de Pernambuco (UFPE) e Universidade Federal Rural de Pernambuco (UFRPE)

Doutorando do Programa de Pós-Graduação em Desenvolvimento e Meio Ambiente da UFPE e Professor Assistente da Unidade Acadêmica de Serra Talhada da UFRPE

Rejane Magalhães de Mendonça Pimentel, Universidade Federal Rural de Pernambuco (UFRPE)

Professora do Departamento de Biologia, área Botânica da UFRPE. Possui Doutorado em Botânica pela UFRPE e Pós-doutoramento pela School of Environmental Sciences, University of Guelph, Canadá.

Michelle Adelino Cerqueira, Universidade Federal Rural de Pernambuco (UFRPE)

Professora Assistente da Unidade Acadêmica de Serra Talhada da UFRPE. Possui Mestrado em Ciências Geodésicas e Tecnologias da Geoinformação pela UFPE

Published

2018-09-19

Issue

Section

Artigos