Abstract The present study aimed to analyse changes in the land cover of Vilnius city and its surrounding areas propose a scenario for their future using an Artificial Neural Network. dynamics modelling was based on multilayer perceptron neural network. Landscape metrics at class landscape level were evaluated determine amount uses. As results showed, Built-up area increased, while forest (Semi...

Posted facial expressions on social networks have been used as a gauge to assess the emotional perceptions of urban forest visitors. This approach may be limited by randomness visitor numbers and park locations, which not accounted for range data in local tree inventories. Spatial interpolation can predict stand characteristics detect their relationship with posted expressions. Shaoguan was stu...

Land use planning is always officially implemented as an effective tool to control urban development and protect farmland. However, its impact on land use change remains untested in China. Using a case study of Hang-Jia-Hu region, the main objective of this paper was to investigate the influence of different land use spatial control schemes on farmland conversion and urban development. Comparis...

Abstract. The Boko Haram insurgency has had a significant impact on the Monguno Local Government Area (LGA) in Borno State, Nigeria, for more than ten years. This study analysed how affected built-up areas of LGA. focus this was to map, analyse, and detect spectral spatial changes earth's surface using remotely sensed images geospatial techniques, focusing particular area, order provide suffici...

Automatic extraction of built-up areas from a multitemporal interferometric ERS-1/2 Tandem SAR dataset was studied. The image data were segmented into homogeneous regions and the regions were classified using their mean intensity and coherence values and additional contextual information. According to comparison with a set of reference points, an overall classification accuracy of 97% was achie...