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LAND COVER MAPPING USING SUPERVISED CLASSIFICATION OF A SATELLITE IMAGERY OF ASH-SHATRA CITY | ||
| KUFA JOURNAL OF ENGINEERING | ||
| Article 1, Volume 3, Issue 1, 2012, Pages 37-48 | ||
| Author | ||
| Imad Ali Abed Al-Helaly | ||
| Abstract | ||
| It is necessary for a city like Ash-Shatra to be managed with special attention and consideration because of its location, natural, cultural, and human resources. So it is very important to provide the local government and reconstruction engineering teams by a data base about the land cover of the city. Land cover is an important indicator, enables us to analyze the atmospheric conditions, develop monitoring, and distribute the construction project. Advanced satellite images classification represents an accurate and cost-effective alternative to the classical techniques of land cover mapping. The methods used to produce a reliable land cover map are presented in this paper. The area complexity requires a combination of satellite images with a site visit to produce finally the proper supervised classification for the region. | ||
| Keywords | ||
| remote sensing; GIS; Supervised Classification; Satellite Imagery; Ash; Shatra; Shatrah | ||
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