Preparing A Land Cover Map with Emphasis on Green Space (Grass, Tree, Agriculture): by using Image Texture Filters in Panchromatic Band, Iran
Kaveh Ostad-Ali-Askari1,Zahra Qasemy2,Saeid Eslamian3,Mojtaba Pirnazar4,Aria Namadi5,Vijay P.Singh6,Nicolas R.Dalezios7,Mohammed Matouq8,Mohsen Ghane9,Sadegh Khani10
Citation :Kaveh Ostad-Ali-Askari,et.al, Preparing A Land Cover Map with Emphasis on Green Space (Grass, Tree, Agriculture): by using Image Texture Filters in Panchromatic Band, Iran International Journal of Constructive Research in Civil Engineering 2017,3(4) : 132-147
Satellite data are currently considered as one of the most important sources in producing usemap and land coverage. Several digital classification methods have been proposed for such maps which are now being used. Accordingly, evaluating and comparing different methods for determining the appropriate and principled method is of utmost importance in different situations in the country. High-resolution images available for sensors, such as Ikonos and QuickBird are more efficient than digital operating systems that provide opportunities for details of large-scale land cover maps. In this article panchromatic band of QuickBird images is used in Northeast of Isfahan in 2006. Image texture is used for processing panchromatic band. To extract the texture of six soil cover (explained in this research), the author used the filters in the software Envi. 4. 8. About 80% resolution for greenspace cover implies the acceptability of this method.