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


Department of Range and Watershed Management, College of Agriculture and Natural Resources of Darab, Shiraz University, 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..