Estimating the level of vegetation and agricultural land in Babolsar using normalized differential vegetation index (NDVI)

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Estimating the level of vegetation and arable land in the traditional way takes time. One of the effective tools in estimating the level of vegetation is the use of remote sensing techniques. This technique is of great importance in order to provide up-to-date information, time series of data, measurement in different spectral ranges. The purpose of this research is to estimate the level of vegetation in Babolsar and evaluate the accuracy of the NDVI index. In this research, Landsat 8 satellite image data from 2019 was used. The process of pre-processing, processing and verification has been done in ENVI5.3 software, and area maps and calculations have been done in ArcGIS10.8 software. The results showed that the vegetation area of the city is estimated at 11474.37 hectares. The evaluation of the accuracy of the used index also showed that by using Landsat 8 images, it is possible to calculate the level of vegetation with an overall accuracy of 92% and a Kappa coefficient of 87%.
Language:
Persian
Published:
Journal of Physical Geography, Volume:15 Issue: 57, 2022
Pages:
127 to 139
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