Evaluation and analysis of different changes detection methods of land use/vegetation cover (case Study: Forest protected area of Manesht, Ilam)

Mahdavi, Ali; Fathizad, Hassan; Shataee, Shaban

Evaluation and analysis of different changes detection methods of land use/vegetation cover (case Study: Forest protected area of Manesht, Ilam)

Document Type : Complete scientific research article

Authors

Abstract

At present, changes without land use planning, has become a major problem. Most land use changes, without a clear and logical planning is done with little regard to their environmental impact. Since changes in land use is done in wide areas, the technology of remote sensing tool for monitoring the changes are necessary and valuable. In this study, Landsat images (TM) 1988 and Landsat (ETM +) in 2007 using seven techniques to detect change area of 29,141 hectares of forest area protected Mansht Ilam province are analyzed. Change detection techniques used in this study included the subtraction image, vector analysis, differential NDVI, principal component analysis, canonical component analysis, calculus teleschope and calculus maping. In this study, for determining the threshold the methods that requires threshold the statistical methods are used and accprdingly it is realized that threshold changes in the area of study was located in 1 standard deviation. After determining the threshold change of areas with reduced, decreased, or no changes has been identified. To evaluate the accuracy of change detection techniques, taken from the ground realities through field visits and satellite images of Google Earth, the total accuracy and Kappa coefficient were used. Our obtained findings revealed that the difference between infrared band with an accuracy of 5/99 and kappa 2/98 percent of the technique detection change used in this study had the highest precision and CCA2 precision of 9/71 and kappa 2/65% of have had the least accurate in the detection of land use/ vegetation in the study area.

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