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ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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In urban planning, one of the common units of measurement for population density is the amount of households per hectare. However, the actual size of the households is seldom considered, neither in 2D nor in 3D. This thesis proposes a method to calculate the average size of the households from existing urban areas based on available open data and to use it as a design parameter for new urban developments. The proposed unit of measurement is comprehensive of outdoor and indoor spaces, the latter ...
Abstract. With the increasing threats and damages from the natural and man-made hazards, emergency response has become a critical challenge to the smart management of modern cities. Due to limited human resources, how to correctly and quickly assess the priority of disaster relief operations remains a major issue to the disaster management. While the emergency response team may continuously receive lots of disaster information from various sources, they are required to validate whether the repor...
Abstract. It is expected that by the year 2050, 66% of the world’s population will live in urban areas, necessitating the efficient management of land and urban space, namely the requirement for multi-dimensional land management systems (MLMS). In most countries, current LMS are two dimensional, representing the reality on a plane. This research aims at outlying guidelines designed for augmenting existing 2D LMS to multi-dimensional ones, by investigating theoretical (conceptual) and technical i...
Abstract. This paper reports about an effort to generate LoD3 models of buildings semi-automatically, with the highest possible level of automation. It is work in progress. We use multi-sensor data like aerial images from a 5-head camera with a GSD of 10 cm, UAV images, and aerial and mobile LiDAR point clouds. We distinguish two cases: LoD2 models are available and they are not. We apply Multi-Photo Geometrically Constrained Least Squares Matching for different kind of point measurements. The r...
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