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 quitesimple and effective algorithms for quantitative and qualitative evaluations ofvegetation cover, vigor, and growth dynamics, among other applications .In the studyfor modeling and estimated of density and percentage vegetation value of ArtemisiaHerba alba was used Green Difference Vegetation Index (GDVI), NormalizedDifference Vegetation Index (NDVI), Optimized Soil Adjusted Vegetation Index(OSAVI), Soil Adjusted Vegetation Index (SAVI) by Landsat 8 ETM+ bandsvegetation in the Fathabad of Darab plain, Iran in 2015 years. By software ENVIpreprocessing, processing, geometric and atmospheric corrections were performed,and then vegetation index for the study area was calculated. Also ArcGIS 10.2software for mapping of area vegetation was applied. Then relationship betweenVegetation Indices and density and vegetation value of Artemisia herba alba wasdetermined. The results show that with increasing of percentage and density ofvegetation, the value of vegetation indices increase. Finally, in order to determinationof suitable elevation of growing of Artemisia herba alba was determined relationshipbetween elevation and percentage of vegetation. The results show that the bestelevation for growing of Artemisia herba alba was 1767 to 1782..

Keywords:

Vegetation Indices (VIs) , Remote sensing (RS) , Artemisia herba alba