SPECTRAL INDICES OF VEGETATION TO CAATINGA OF THE AREA OF SEMI-ARID OF RIO GRANDE OF NORTE, BRAZIL

Joel Medeiros Bezerra, Rochele Sheila Vasconcelos, Geber Barbosa de Albuquerque Moura, José Espínola Sobrinho

Abstract


The Caatinga is an exclusively Brazilian vegetation, predominantly in the Northeast, which covers 10% of the country, being an environment understudied, especially in view of remote sensing. Thus, the aim of this study is to analyze the spatial and temporal changes in vegetation of Caatinga, in the period from 2008 to 2011, through products and techniques of remote sensing data from the Landsat 5 TM, combined with weather data. The study was conducted in the area of the proposed National Park of Furna Feia located in the municipalities of Mossoró and Baraúna in the state of Rio Grande of Norte, situated in the semiarid region of northeastern Brazil. We used three images from Landsat 5 TM satellite orbit point 63 and 216 on the following dates: 13 August 2008, 01 September 2009 and 06 August 2011. The image processing for calculating the Normalized Difference Vegetation Index values (NDVI) was performed with ERDAS Imagine 9.1 and ArcGIS 9.3. The junction of products from remote sensing with weather data allowed a coherent and reasoned, where they subsidize an understanding of physical phenomena relating to rainfall variability of the response timeline of Caatinga vegetation. There was an increase in NDVI values over the years studied, noting the direct relationship with the occurrence of rainfall.


Keywords


Remote sensing, rainfall, National Park of Furna Feia.

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DOI: https://doi.org/10.29150/jhrs.v2i2.22679

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