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The remote sensing is a powerful tool in several environmental studies, and the use of satellites images is commonly used to acquire a plenty of climate data. The local of study is the experimental farm, Fazenda Lageado, located in Botucatu city, SP, Brazil, it’s area is in the vicinity of 940 ha. For scientific purposes, it is important to relate field data to remote sensing data. Vegetation index and water index are a resultant of a raster calculation, in a geographic information system, from different bands of the satellite imagery which. The indices have the capability of measure the photosynthetic activity and the rate of fluid water in the vegetation. The present study aims to find a significant relation between the soil moisture and the satellite Sentinel-2A imaging vegetation index. If the relation is meaning, then the remote sensing can be used as an indirect way of measurement for soil moisture. The statistical method was the linear regression with the software Origin, the p value was the validating parameter used, which indicates the probability that the independent variable explaining the dependent variable has occurred by random effect. This study has showed no significant relation between any simple regression at a 5% of confidence interval, but at 10% confidence the soil moisture at 60 cm explained the NDWI index.

Índices radiométricos para estimativa de umidade do solo