Details
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 35 |
| Publication status | Published - 2004 |
| Event | 20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey Duration: 12 Jul 2004 → 23 Jul 2004 |
Abstract
Power authorities are highly interested in figures that indicate the energy requirements and especially the heat requirements on a local, regional and country-wide level. Such numbers are needed for their planning of new sites of power plants or for planning alternative energy modes. Existing methods for estimating those requirements heavily rely on local sampling methods as well as on the use of statistical estimates and models. The traditional way of acquiring area wide data is to use statistics and punctually acquired data and extrapolate it to wider areas. E.g. several districts of a city are investigated based on aerial photos and classified into different building and settlement typologies; the cities, in turn are classified according to certain types, which in the end will lead to a country wide statistics. In order to determine more accurate base information, in this project we are using laser scanning as a basic data acquisition method to determine building volumes, i.e.The volumes to be heated. This is due to the fact that laser scanning potentially allows for an areawide data capture, and also has a high potential of automated data analysis and interpretation. The heat demand of an individual building depends primarily on its age and its type. Therefore, in order to assign head demands to individual buildings measured from laser scanning, the building type first has to be inferred from the available geometric characteristics. The paper will present the results of the automatic extraction of building volumes, and concentrates on the identification of the given building and settlement types that can be used to link the building volumes with specific heat coefficients. The results achieved with our approach will be compared with results derived in the traditional way.
Keywords
- Building, Classification, Combination, DEM/DTM, Extraction, GIS, Laser scanning
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 35, 2004.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Identifying building types and building clusters using 3D-laser scanning and GIS-data
AU - Neidhart, Hauke
AU - Sester, Monika
N1 - Funding information: We gratefully acknowledge the funding by the AGFW (Arbeitsgemeinschaft Fernwärme, e.V.). The laser scanning data was provided by the Landesvermessungsamt Baden-Württemberg, building ground plans by the Stadtmessungsamt Stuttgart. Our work is part of a project on pluralistic heat supply (“Pluralistische Wärmeversorgung”) which is funded by the AGFW (Arbeitsgemeinschaft Fernwärme, e.V.). AGFW is an organization of energy and service providers which are engaged in local and district heating.
PY - 2004
Y1 - 2004
N2 - Power authorities are highly interested in figures that indicate the energy requirements and especially the heat requirements on a local, regional and country-wide level. Such numbers are needed for their planning of new sites of power plants or for planning alternative energy modes. Existing methods for estimating those requirements heavily rely on local sampling methods as well as on the use of statistical estimates and models. The traditional way of acquiring area wide data is to use statistics and punctually acquired data and extrapolate it to wider areas. E.g. several districts of a city are investigated based on aerial photos and classified into different building and settlement typologies; the cities, in turn are classified according to certain types, which in the end will lead to a country wide statistics. In order to determine more accurate base information, in this project we are using laser scanning as a basic data acquisition method to determine building volumes, i.e.The volumes to be heated. This is due to the fact that laser scanning potentially allows for an areawide data capture, and also has a high potential of automated data analysis and interpretation. The heat demand of an individual building depends primarily on its age and its type. Therefore, in order to assign head demands to individual buildings measured from laser scanning, the building type first has to be inferred from the available geometric characteristics. The paper will present the results of the automatic extraction of building volumes, and concentrates on the identification of the given building and settlement types that can be used to link the building volumes with specific heat coefficients. The results achieved with our approach will be compared with results derived in the traditional way.
AB - Power authorities are highly interested in figures that indicate the energy requirements and especially the heat requirements on a local, regional and country-wide level. Such numbers are needed for their planning of new sites of power plants or for planning alternative energy modes. Existing methods for estimating those requirements heavily rely on local sampling methods as well as on the use of statistical estimates and models. The traditional way of acquiring area wide data is to use statistics and punctually acquired data and extrapolate it to wider areas. E.g. several districts of a city are investigated based on aerial photos and classified into different building and settlement typologies; the cities, in turn are classified according to certain types, which in the end will lead to a country wide statistics. In order to determine more accurate base information, in this project we are using laser scanning as a basic data acquisition method to determine building volumes, i.e.The volumes to be heated. This is due to the fact that laser scanning potentially allows for an areawide data capture, and also has a high potential of automated data analysis and interpretation. The heat demand of an individual building depends primarily on its age and its type. Therefore, in order to assign head demands to individual buildings measured from laser scanning, the building type first has to be inferred from the available geometric characteristics. The paper will present the results of the automatic extraction of building volumes, and concentrates on the identification of the given building and settlement types that can be used to link the building volumes with specific heat coefficients. The results achieved with our approach will be compared with results derived in the traditional way.
KW - Building
KW - Classification
KW - Combination
KW - DEM/DTM
KW - Extraction
KW - GIS
KW - Laser scanning
UR - http://www.scopus.com/inward/record.url?scp=84973615315&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:84973615315
VL - 35
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - 20th ISPRS Congress on Technical Commission VII
Y2 - 12 July 2004 through 23 July 2004
ER -