Identification of Satellite Image Ability for Vegetation Cover Crown Percentage Mapping in Arid and Semi Arid Region (Case study: Mouteh wild life sanctuary)

Remote sensing provides the basic data to undertake inventory of land resources specially vegetation mapping. In this study for producing vegetation cover percentage map in Mouteh wild life sanctuary, IRS-P6, LISS III data was used for June 2006. First geometric and atmospheric correction was done. Vegetation cover sampling was done with 290 plots in heterogeneous cover areas and Data were collected from overall region. Vegetation Indices were produced using satellite image. Simple linear regression was done between plots information and vegetation indices and models were produced for each index and vegetation maps were produced using each index model. Results showed that SAVI index had highest correlation with field sampling equal 0.78 and it was used for vegetation cover percentage mapping. Using SAVI model vegetation cover was classified in four classes: 0-10%, 10-20%, 20-40% and 40%<. Disscusion And Results showed that 10%> and 10-20% crown cover were dominate in region. SAVI index with soil coefficient reduced soil background reflectance effects. In this study NDVI, TSAVI1 and RVI had high correlation (0.77, 0.78 and 0.76).