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Abstract: This study presents vegetation change detecting in Halabja city, Iraq by using Landsat-5Thematic Mapper images. This city was shelled with chemical weapons on 16 March, 1988. The Normalized Difference Vegetation Index (NDVI) image differencing and post–classification techniques were applied. The NDVI was derived first then classified to produce vegetation maps followed by quantifying the changes.The results indicated a drastic decrease in the dense, sparse and moderate vegetation by55%, 7% and 9% respectively. In contrast, the non-vegetation class increased by 5%. This means that, the field and planted areas were at risk of losing vegetation.
Keywords: Vegetation Change, NDVIImage Differencing, Landsat, Post-classification
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Abstract: Since 1960, remote sensing satellite imagery reconnaissance has played a significant role in military operations by providing information concerning enemy missiles, troop deployments and military positioning using photographic images from lighter-than-air balloons to aircraft platforms and finally satellite remote sensing imagery with little attention given to broader war impacts. However, besides the war-related uses of such technology, many academic researchers have taken pains to use such advanced technology for examining war impacts. This paper highlights the applications of this technology for detecting war impacts.
Keywords: Satellite Imagery, Remote Sensing, War Impacts
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