تعیین سبزینگی پوشش گیاهی منطقه تلو با استفاده از تصاویر سنجنده سنتینل 2

Vegetation indicators are one of the key components in the estimation of crop yield and investigations of stresses caused by plant diseases. Measurement of vegetation indices is done directly using in-situ methods or indirectly through transfer functions or remote sensing. Considering the importance of accurate determination of these indicators, the main goal of this research is to estimate the amount of greenness and freshness of vegetation in Telo region using Sentinel 2 images and spectral indices during the period of 2019-2022 in Telo region. The data used in this research includes the daily images of the Sentinel 2 sensor. After receiving the satellite images, first the necessary corrections were made on the images in the environment of ENVI software. After pre-processing, NDVI spectral index of vegetation cover was calculated. Vegetation maps were drawn using GIS software and their changes were plotted in Excel environment. According to the graphs, it was found that the vegetation of Telo region has been restored in the field of pasture and herbaceous plants during the period of 2019 to 2022. The reason for this could be the watershed management and protection operations carried out during these years in Telo region.