Analysis Comparison Behavior of Vegetation in the Paraíba State Using Remote Sensing Avhrr/Noaa and Precipitation Pluvial

Tiago Almeida Rocha, Wanessa Luana de Brito Costa, Célia Campos Braga


Abstract: This study aims to make a monthly monitoring of the spatial variability of vegetation in the Paraiba State, from daily images of AVHRR / NOAA sensor systems during the years 2013 and 2014, with a spatial resolution of 4 km. We used the software ENVI (Environment for Visualizing Images) to do the calibration processing and processing of images. We calculated the value higher NDVI (Difference Vegetation Index Normalized) monthly at each grid point and made up the monthly maps of vegetation indices for the Paraíba State. The results showed that the vegetation index is an indicator of the response of rainfall in a given region, ie, a dry / wet season causes a decrease / increase in NDVI, thus underlining the importance of rain in the dynamics of the regional vegetation. It is worth noting that although the years have presented below the climatological average, the year 2014 was also drier than in 2013.

Keywords: Spatial variability, rainfall, NDVI.


Spatial variability, rainfall, NDVI

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Journal of Hyperspectral Remote Sensing - eISSN: 2237-2202