Using (NDVI), (NDBI) and (NDWI) Indexes for Change Detection in Land Cover for Selected Area from the Province of Najaf for the Period from (2001-2006) by Using Remote Sensing Data
Abstract
Remote sensing data are primary sources extensively used for change detection in recent decades. In this research many techniques have been selected for change detection , Normalized Difference Vegetation Index (NDVI), Normalized Difference Built up Index ( NDBI), Normalized Difference Water Index ( NDWI), and method of comparison after classification to represent three major land cover classes, built-up land, water bodies , and vegetation, respectively. To make the change analysis of the study area , two images from the satellite Landsat ( ETM+) 2001 and 2006 are using. Bands 2,3,4 and 5 have been extracted for each band for calculating the indexes NDVI , NDBI and NDWI. Land cover classification has been performed using unsupervised procedure. The main objective of the present paper is to analyse nature of land use land cover changes . As a result, the spectral signatures of the three land-cover classes are more distinguishable in the new image than in the original seven-band image as the spectral clusters of the classes are well separated . Therefore , the technique is effective and reliable.
Key word: change detection, Vegetation Index (NDVI), Built up Index ( NDBI), Water Index ( NDWI), unsupervised classification.
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Copyright (c) 2015 ابتهال تقي حسن
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