Remote sensing in urban areas has been a challenger for quite some time due to their complexity and fragment with combination of man-made features and natural features. High-resolution satellite images and airborne laser altimetry data offered potential possibilities for feature extraction and spatial modelling in urban areas. Land use classification of urban areas may become possible by exploi...

Fractal image coding has the advantage of higher compression ratio, but is a lossy compression scheme. The encoding procedure consists of dividing the image into range blocks and domain blocks and then it takes a range block and matches it with the domain block. The image is encoded by partitioning the domain block and using Affine transformation to achieve fractal compression. The image is rec...

Urban land cover/use changes like urbanization and urban sprawl have been impacting the urban ecosystems significantly therefore determination of urban land cover/use changes is an important task to understand trends and status of urban ecosystems, to support urban planning and to aid decision-making for urban-based projects. High resolution satellite images could be used to accurately, periodi...

A new paradigm for investigating the environment consequences of urban texture is proposed. Using raster-based models and software algorithms derived from image processing the authors develop efficient methods of measuring geometric parameters and predicting radiation exchange. The possibilities of generating synthetic urban textures and of integrating cellular automata are explored. Results su...

This paper aims to evaluate what effect applying residents’ urban image to virtual city design (a real time virtual model of an actual city) has on wayfinding performance during ‘flying-based’ navigation mode. Two experiments were conducted to compare two virtual city designs using the virtual model of Tel Aviv city. One design included highlighted urban elements from the residents’ urban image...

Quantifying the carbon storage, distribution, and change of urban trees is vital to understanding the role of vegetation in the urban environment. At present, this is mostly achieved through ground study. This paper presents a method based on the satellite image time series, which can save time and money and greatly speed the process of urban forest carbon storage mapping, and possibly of regio...

Many cities in the Global South are facing rapid population and slum growth, but lack detailed information to target these issues. Frequently, municipal datasets on such areas do not keep up with such dynamics, with data that are incomplete, inconsistent, and outdated. Aggregated census-based statistics refer to large and heterogeneous areas, hiding internal spatial differences. In recent years...

Monitoring urban growth and change is an important issue for urban planning and disaster management. In this study, two different approaches are conducted to monitor the urban areas. One is that a TerraSAR-X image is compared with an ALOS/PALSAR image to investigate the characteristics of urban land cover in different radar wavelengths. Also, a very high resolution optical QuickBird image is us...