Assessment of the health status of tree stands based on Sentinel - 2B remote sensing materials and the short-wave vegetation index SWVI

Abstract

The article presents the results of a study of the possibilities of using the short-wave vegetation index SWVI to assess the state of stands. As test objects, we used the trial areas laid down according to the ICP-Forests method in 2019, as well as additional areas with mainly heavily damaged, dying and dead plantings. To determine the short - wave vegetation index of SWVI, the 8th (NIR) and 11th (SWIR) spectral channels of Sentinel-2B images were used. Data from ground-based stand surveys and remote sensing data were combined and processed in the QGIS geographic information system. The study of the interdependencies of the state of tree stands and the values of the short-wave vegetation index was carried out in the STATGRAPHICS 18.0 application software package using variance and regression analysis. It is shown that the short-wave vegetation index SWVI statistically reliably reflects the state of vegetation and can be used to organize monitoring of the state of forests in a continuous mode.