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Analysing urban regions is essential for their correct monitoring and planning. This is mainly accounted for the sharp increase of people living in urban areas, and consequently, the need to manage th...
Th e present study evaluates five methods namely; Principal Component analys is, Determinant analysis, Filtering techniqu e, IH S transformation and Radiometric method for optimally combining the...
21century is an era of cities as the trend of urbanization has developed into the theme of globalization. China, as one of the most thickly populated countries will have a deep influence on the world ...
Measuring the Quality of Place (QOP) is a hard task since it involves both physical and socio-economic dimensions. Being one of the major land use categories, urban vegetation plays a significant role...
Urban land use is an important component in understanding the interactions of urban economic activities with environment as well as urban expansion, and thus it is necessary to simulate such changes...
One of the most promising approaches to solve the challenging task of urban land-use classification is integration of multi-spectral satellite image data and range data. In this paper, height data ac...
Urban land use classification from remotely sensed images has drawn great attention in the past decades. Most researchers derive land use data from remotely sensed images alone, but the results are ...
THE CONTRIBUTION OF GIS AND REMOTE SENSING IN URBAN LAND USE NEGOTIATION IN DEVELOPING COUNTRIES.
Unscientific utilization of land use and land cover due to rapid growth of urban population deteriorates urban condition. Urban growth, land use change and future urban land demand are key concerns of...
This study uses the InterIMAGE system and imagery from the QuickBird II optical sensor for the land use classification at two testsites in the metropolis of Sao Paulo, Brazil. InterIMAGE is ...

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