Environmental land use Change detection and assessment using with multi-temporal satellite imagery Environmental land use Change detection and assessment using with multi-temporal satellite imagery
Methods of study:
Topographic maps of the area including 1:50000 and 1:250000 are digitized first. Then Landsat imageries of dates 1989 and 1998 are considered for digital image processing. The following flowchart shows the major steps of the study:  Fig 1: Flow chart showing the major steps of research Geometric correction: 20 GCP were selected throughout the area using topographic maps. RMS is estimated around 0.87 pixel (25 square meter). Classification: Classification carried out using MLC method. First 741 (RGB) color composite is prepared. Then training area were collected based on 10 different land cover classes including water, wetland, salty land, sparse vegetation cover, moderate vegetation cover, residential, orchards including amygdales, apple trees and citrus, dry farming, outcrops and waste land, irrigated land. Editing is applied using aerial photos as well as maps. Overall accuracy is estimated around 97% (fig 2,3).
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