Sahar Delpasand; Maryam Moradnezhadi; Zahra Hossaini; Yousef Askari
Volume 1, Issue 8 , Summer 2013, , Pages 813-821
Abstract
The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data ...
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The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. In the variety of available remote sensing data the satellite images has a minimum of cost and time for creating vegetation cover maps. The aim of this study is the capability of Liss-III sensor from IRS- P6Resorce satellite for creating vegetation cover maps in the Chaharmahal and Bakhtiari Province (the area of study site was 34177 ha) in the central zagros forest. By using the different methods includes the creating the color composite, principal component analysis and vegetation index enhancement the satellite image, Then by using the supervised classification method and maximum likelihood function the image was divided into four separate classes
