Titlebook: Geomatics Solutions for Disaster Management; Jonathan Li,Sisi Zlatanova,Andrea G. Fabbri Book 2007 Springer-Verlag Berlin Heidelberg 2007

expository

An Online Colour 2D and 3D Image System for Disaster Management, the 2D and 3D information of the areas of interest. Mediumresolution satellite images such as Landsat 7 and high-resolution satellite images such as Ikonos or QuickBird are the main data sources for the multi-scale 2D and 3D images. Since Landsat imagery has a global coverage and the Ikonos and Qui

Obliterate

Generic-Drug

A Fuzzy Relational Method For Image-Based Road Extraction For Traffic Emergency Services,agery. These data have been readily adopted on various applications such as city planning, metropolitan mapping, emergency response and disaster management. In the applications of high resolution remote sensing images, road extraction is one of the most basic and important tasks. Though many image-b

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Automatic Generation of Remote Sensing Image Mosaics for Mapping Large Natural Hazards Areas,nmental monitoring, emergency response, and disaster assessment. Among the products of the broad range of applications, raster base maps, which are generated from various sources of remote sensing data, are becoming very critical for effective and efficient disaster management. The raster base maps

VALID

Mapping Hazardous Slope Processes Using Digital Data,s to classify slope features using per pixel spectral response patterns have provided classification accuracies that are less than 60%, it is demonstrated that a combination of high resolution optical imagery, image segmentation and ancillary data derived from a digital elevation model can discrimin

genesis

,Monitoring Xi’an Land Subsidence Evolution by Differential SAR Interferometry,o 2005. Three schemes have been made to detect the three subsidence stages, namely, stage I 1992–1993, stage II 1996–1997 and stage III 2004–2005. And annual subsidence rates have been calculated in three schemes which uncovered the land subsidence evolution in Xi’an from 1990s to now days. The D-In

nettle

Evaluation of NARAD Precipitation Data for Rainfall Monitoring in Eastern Ontario, Canada,large areas in a time-efficient manner. However, most studies in the literature are conducted within the U.S. This study evaluates the reliability of NEXRAD precipitation data and rain gauge measurements in Eastern Ontario, Canada, for potential flood monitoring and water budget analysis. Five-month

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Evaluating the Use of a Low-Cost Unmanned Aerial Vehicle Platform in Acquiring Digital Imagery for emergency response situations. Such a platform allows for the timely acquisition of high resolution imagery during emergency situations by personnel with relatively limited UAV flight training..Although military use of UAVs has been around since the First World War, their relatively high expense an

Fortify

Automatic Classification of Collapsed Buildings Using Object and Image Space Features,rea is a part of the city of Bam, Iran which was hit strongly by an earthquake on December 26, 2003. In order to classify damages caused by earthquakes, we have explored the use of two kinds of extracted features: volumes (defined in object space) and edges (defined in image space). For this purpose