Using Remote Sensing to determination of relationship between vegetation indices and vegetation percentage (case study: Darab plain in Fars province, Iran)

Vegetation Indices (VIs) obtained from remote sensing (RS) based canopies are quite simple and effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor, and growth dynamics, among other applications .In the study for modeling and estimated of density and percentage vegetation value of Artemisia Herba alba was used Green Difference Vegetation Index (GDVI), Normalized Difference Vegetation Index (NDVI), Optimized Soil Adjusted Vegetation Index (OSAVI), Soil Adjusted Vegetation Index (SAVI) by Landsat 8 ETM+ bands vegetation in the Fathabad of Darab plain, Iran in 2015 years. By software ENVI preprocessing, processing, geometric and atmospheric corrections were performed, and then vegetation index for the study area was calculated. Also ArcGIS 10.2 software for mapping of area vegetation was applied. Then relationship between Vegetation Indices and density and vegetation value of Artemisia herba alba was determined. The results show that with increasing of percentage and density of vegetation, the value of vegetation indices increase. Finally, in order to determination of suitable elevation of growing of Artemisia herba alba was determined relationship between elevation and percentage of vegetation. The results show that the best elevation for growing of Artemisia herba alba was 1767 to 1782..