METHOD FOR EVALUATING PLANT COVER AND QUANTIFICATION USING PIXEL TO PIXEL CORRELATION INDICES

José carlos de Souza, Elfany Reis do Nascimento Lopes, Jocy Ana Paixão de Sousa, Antônio Cesar Germano Martins, Roberto Wagner Lourenço

Abstract


This study brings results on Normalized Difference Vegetation Index (NDVI), the Adjusted Vegetation Index of Soil (SAVI) and the Index of Water by Normalized Difference (NDWI) through a method that uses correlation matrices built on a pixel to pixel combination for spatial and temporal analysis of plant cover. The study was developed by using Landsat 8 images from January and August, 2015. Image processing was performed with ArcGis and Matlab building correlation matrices to evaluate variations of each index in Brazilian vegetation. Results showed decreasing values of the three indices from wet to dry period. Climatic conditions influenced on the vigor and moisture content of vegetation. The pixel to pixel correlation method is appropriated to study vegetation changes and quantify increase, decrease or maintenance of vegetation.

Keywords


Vegetation index, Remote sensing; Correlation Matrixes; Pixels; Plant Cover.

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DOI: https://doi.org/10.4090/juee.2015.v12n2.%25p

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ISSN 1982-3932
DOI: 10.4090/juee


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