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. | ||
| Journal of Kufa - physics | ||
| Article 1, Volume 6, Issue 2, December 2014, Pages 12-18 | ||
| Author | ||
| Ebtihal Taki Hassan | ||
| 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. | ||
| Keywords | ||
| change detection; vegetation index; Built up Index; Water Index; unsupervised classification | ||
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