DocumentCode
2319475
Title
The urban residential construction heating-loss monitoring research based on ASTER
Author
Cai, Wenting ; Yu, Jing
Author_Institution
Adm. Centre of Urban-Rural Planning, Beijing, China
fYear
2009
fDate
20-22 May 2009
Firstpage
1
Lastpage
6
Abstract
Energy-saving is an important policy meeting with current energy shortage and environmental problems. Heating is the main energy consumption in Chinese northern areas. Taken typical northern city Shenyang City for example, this study applies the technology of remote sensing on urban residential construction heating-loss monitoring. The thermal infrared (TIR) data-ASTER, as main data source, is used to retrieve the urban land surface temperature based on the improved split-window algorithm. Integrating the high resolution multi-spectral remote sensing image QuickBird (QB), field sample data of thermal infrared imaging devices and the local residential areas´ attribute, the analysis is done to estimate the feasibility of the remote sensing application in monitoring the construction heating-loss condition in Northern China. Through the ground validation, the accuracy rate can reach up to 91%. It is proved that remote sensing monitoring based on ASTER is an efficient and objective method in the urban construction energy-saving monitoring.
Keywords
energy conservation; heating; infrared imaging; land surface temperature; remote sensing; ASTER; Chinese northern areas; QuickBird imagery; Shenyang City; energy consumption; energy saving; remote sensing; split-window algorithm; thermal infrared imaging; urban land surface temperature; urban residential construction heating-loss monitoring; Cities and towns; Energy consumption; Environmental factors; Image resolution; Information retrieval; Infrared heating; Land surface; Land surface temperature; Remote monitoring; Temperature sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event, 2009 Joint
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3460-2
Electronic_ISBN
978-1-4244-3461-9
Type
conf
DOI
10.1109/URS.2009.5137532
Filename
5137532
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