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Paper Information

Journal:   JOURNAL OF GIS.RS. APPLICATION IN PLANNING   SPRING 2011 , Volume 2 , Number 3; Page(s) 87 To 98.
 
Paper: 

MAPPING LAND USE AND LAND COVER USING REMOTE SENSING AND GIS IN LOHRAN AND KASH

 
 
Author(s):  NEZAMI MOHAMMAD TAHER, HAJIAN TAZEHABADI SHAPOUR, CHATRSIMAB ZAHRA
 
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Abstract: 

Mapping land use and land cover (LULC) at regional scales is essential for a wide range of studies such as landslide, erosion, and land planning. In this study, LULC map was investigated by using Remote Sensing and Geographic Information Systems (GIS) in Lohran and kash, northwest Alborz province. Multi-spectral and panchromatic ETM+images (exceptional temporal band) were used for land use mapping. The images were geometrically corrected and orthorectified using GCPs and DEM. Then the two methods of Normalized Difference Vegetation Index and supervised classification were used in order to detect changes in the region’s land use. Accuracy assessment of classification results was made with ground truth map. The best land use classification was the comparison of maximum likelihood classification method with algorithm according to which the overall accuracy of 96% and kappa coefficient of 0.93 was observed for 2002.

 
Keyword(s): CHANGE DETECTION, NDVI, SUPERVISED CLASSIFICATION
 
References: 
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