Metodologia para a geração automática de perfis temporais de NDVI.

Abstract

Vegetation Indices are a product of remote sensing and have been used for vegetation and crop monitoring. The Normalized Difference Vegetation Index (NDVI) is one of the most used and reflects the vegetation biomass status. High temporal resolution satellites have enabled the acquiring of such indices very often, allowing to generate the temporal NDVI profiles, describing the crops biomass status throughout its phenological cycle. The objective of this work was to develop a method for the automatic generation of temporal NDVI profiles from several crop areas, trying to make such acquiring faster, more accurate and less labor-intensive. The methodology was applied to 36 counties in the west region of the estate of Paraná, Brazil, in the soybean crop monitoring. The results showed that this methodology allowed the total automation of the NDVI values extraction and the development of temporal profiles from a high amount of crop areas. These activities were faster and less labor-intensive when compared with the manual method.