For some years sensor systems have been available providing digital images of a new quality. Especially aerial stereo scanners acquire digital multispectral images with an extremely high ground resolution of about 0.10 - 0.15m and provide in addition a Digital Surface Models (DSM). These imaging products both can be used for a detailed monitoring at scales up to 1:500. The processed georeferenced multispectral orthoimages can be readily integrated into GIS making them useful for a number of applications. The DSM, derived from forward and backward facing sensors of an aerial imaging system provides a ground resolution of 0.5 m and can be used for 3D visualization purposes. In some cases it is essential, to store the ground elevation as a Digital Terrain Model (DTM) and also the height of 3-dimensional objects in a separated database. Existing automated algorithms do not work precise for the extraction of DTM from aerial scanner DSM. This paper presents a new approach which combines the visible image data and the DSM data for the generation of DTM with a reliable geometric accuracy. Already existing cadastral data can be used as a knowledge base for the extraction of building heights in cities. These elevation data is the essential source for a GIS based urban information system with a 3D visualization component.
The climate of urban areas is a very sensitive topic in the content of human health a sustainable urban development. There is often a difference between the high demands of urban planning and the reality. Two aspects regarding urban climate are discussed in this paper. First we present a method for the automated analysis of vegetated areas and especially vegetated roofs in the inner city using multispectral and extremely high resolution imagery. The second part of this paper focuses on a potential cooling area near the city and especially the change of this area after its construction. A qualitative estimation and visualization of the impact regarding climatic effects is performed using stereoscopic heights data acquired by a digital scanner.
Conference Committee Involvement (13)
Earth Resources and Environmental Remote Sensing/GIS Applications
11 September 2018 | Berlin, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications
12 September 2017 | Warsaw, Poland
Earth Resources and Environmental Remote Sensing/GIS Applications
27 September 2016 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
22 September 2015 | Toulouse, France
Earth Resources and Environmental Remote Sensing/GIS Applications
23 September 2014 | Amsterdam, Netherlands
Earth Resources and Environmental Remote Sensing/GIS Applications IV
23 September 2013 | Dresden, Germany
Earth Resources and Environmental Remote Sensing/GIS Applications
25 September 2012 | Edinburgh, United Kingdom
Earth Resources and Environmental Remote Sensing/GIS Applications
20 September 2011 | Prague, Czech Republic
Earth Resources and Environmental Remote Sensing/GIS Applications
21 September 2010 | Toulouse, France
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VIII
15 September 2008 | Cardiff, Wales, United Kingdom
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology
17 September 2007 | Florence, Italy
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VI
13 September 2006 | Stockholm, Sweden
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology V
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