Índices de vegetação para análise de solo exposto em área agrícola no Sudoeste do Paraná

Abstract

Vegetation indices generated through remote sensing are widely used in agriculture because they can highlight details related to the photosynthetic activities of vegetation, as well as differentiating plant material from mineral material. In view of the above, this study set out to study two vegetation indices: VARI (Normalised Difference Vegetation Index) and NDVI (Normalised Difference Vegetation Index) to analyse the area of bare soil in an experimental area in south-west Paraná at two different times of the year, January and July. The study area covers 32.0 ha and is part of the Pato Branco Campus of the Federal Technological University of Paraná (UTFPR). The Sentinel-2 satellite images used in this study were downloaded from the Copernicus Browser website. QGIS® software was used to edit and generate the images. QGIS® also reclassified the images and then calculated the area of each class: exposed soil, partially exposed soil, partially covered soil and total cover, using the QGIS r.report tool. There was a greater area of exposed soil in July, both according to the results obtained by NDVI and VARI. This difference can be explained by the sensitivity of the two vegetation indices used to detect exposed soil.