INTERRELATIONSHIP BETWEEN RAINFALL AND VEGETATION INDEX BY REMOTE SENSING DE SENSORIAMENTO REMOTO

Leandro Fontes de Sousa

Abstract


Considering the importance of vegetation and influence of climatic factors in development, especially precipitation, the purpose of this study was to find a function that best represents the relationship between rainfall and NDVI in the Paraíba state. We used daily images from the sensor AVHRR / NOAA system with spatial resolution of 4 km and MODIS / Aqua with spatial resolution of 1km product and monthly precipitation data of 250 stations for the years 2007, 2008 and 2009. The method of least squares regression to find the curve that best fitted the dataset was used. The Student t test was applied to the correlation coefficients α = 0.05 level of significance. The results indicate relationship that best represents the behavior of NDVI depending on rainfall is a polynomial second degree curve with better correlations during the dry season (June to September). Generally the NDVIAVHRR showed better correlation with rainfall than NDVIMODIS. In the rainy season they have been weaker because when vegetation reaches maximum force, the NDVI is practically stable. On average the highest correlations (r) found for the two satellites between 0.69 and 0.86 regardless of the year it was wet or dry. It is noteworthy that these adjustments were a little better for the polynomial model.


Keywords


IVDN, rainfall, MSQ.

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DOI: https://doi.org/10.29150/jhrs.v4i3.22700

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