With GIS technology for Web-enabled vector and meta data access becoming mature, the next quest is towards fast, flexible services on extremely large raster data assets. Currently 2-D images (satellite imagery, ortho photos) prevail, but at the horizon higher-dimensional objects appear, such as 3-D time satellite image time series and seismic data, and 4-D climate simulations. At the same time,...

This study deals with the use of satellite TM multi-temporal data coupled with statistical analyses to quantitatively estimate urban expansion and soil consumption for small towns in southern Italy. The investigated area is close to Bari and was selected because highly representative for Italian urban areas. To cope with the fact that small changes have to be captured and extracted from TM mult...

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This paper illustrates the use of GIS techniques and satellite data in order to analyze impact land change on local urban microclimate. Specifically, a case study is presented that concerns city Vienna. Thereby, satellite-based images were used classify Vienna into four zones toward computation surface temperatures two reference years. The classified maps then statistically projected future, re...

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...