Lack of detailed land use (LU) information and efficient data collection methods have made the modeling of urban systems difficult. This study aims to develop a novel hierarchical rule-based LU extraction framework using geographic vector and remotely sensed (RS) data, in order to extract detailed subzonal LU information, residential LU in this study. The LU extraction system is developed to ex...

A spatial analysis was carried out to evaluate the compatibility of human activities and biophysical characteristics in Mexican Caribbean Sea, order identify most viable areas for energy generation from ocean currents where population would benefit such projects. Of study area, 82% have some form protection legislation. Tourism is main economic activity area this reflected a wide range services...

The Brazilian urbanization process produced a complex urban space, with variety of land use and cover as result. study these forms through classification system is essential, but most current systems don’t capture this complexity, condensing it. Urban are difficult to distinguish classify, resulting in the need for high degree detail, more accurate planning. objective work propose cover, which ...

owing to the vital effects of future land use changes, it is necessary to predict land use growth pattern before any decision making by the authorities and decision makers. purpose of this research is to model land use change of kohmare scorch plain of shiraz province using ordinary least squares regression (ols) for pre-processing variables and modeling using neural networks. to perform this m...

in the recent years, human activities have led to changes in land use and land cover, consequently, these changes lead to the structure and function of ecosystems. spatial-temporal change detection of land use is important to understand the relationships and interactions between human and natural resources and to make appropriate decisions due to changes in land use and land cover occurs in bro...