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COMPUTING AND MONITORING POTENTIAL OF PUBLIC SPACES BY SHADING ANALYSIS USING LIDAR DATA IN 3D CITY MODELS.
- Source :
- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 4/28/2015, Vol. 40-7/W3, p743-750, 8p
- Publication Year :
- 2015
-
Abstract
- The paper regards specific context of public spaces in "shadow" of tall buildings located in European cities. Majority of tall buildings in European cities were built in last 15 years. Tall buildings appear mainly in city centres, directly at important public spaces being viable environment for inhabitants with variety of public functions (open spaces, green areas, recreation places, shops, services etc.). All these amenities and services are under direct impact of extensive shading coming from the tall buildings. The paper focuses on analyses and representation of impact of shading from tall buildings on various public spaces in cities using 3D city models. Computer environment of 3D city models in cityGML standard uses 3D LiDAR data as one of data types for definition of 3D cities. The structure of cityGML allows analytic applications using existing computer tools, as well as developing new techniques to estimate extent of shading coming from high-risers, affecting life in public spaces. These measurable shading parameters in specific time are crucial for proper functioning, viability and attractiveness of public spaces -- finally it is extremely important for location of tall buildings at main public spaces in cities. The paper explores impact of shading from tall buildings in different spatial contexts on the background of using cityGML models based on core LIDAR data to support controlled urban development in sense of viable public spaces. The article is prepared within research project 2TaLL: Application of 3D Virtual City Models in Urban Analyses of Tall Buildings, realized as a part of Polish-Norway Grants. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16821750
- Volume :
- 40-7/W3
- Database :
- Complementary Index
- Journal :
- International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 102385726
- Full Text :
- https://doi.org/10.5194/isprsarchives-XL-7-W3-743-2015