DocumentCode :
2322485
Title :
Estimating the energy consumption with nighttime city light from the DMSP/OLS imagery
Author :
Letu, Husi ; Hara, Masanao ; Yagi, Hiroshi ; Tana, Gegen ; Nishio, Fumihiko
Author_Institution :
Grad. Schools of Sci. & Technol., Chiba Univ., Chiba
fYear :
2009
fDate :
20-22 May 2009
Firstpage :
1
Lastpage :
7
Abstract :
A methodology is presented to accurately estimate electric power consumption from saturated nighttime DMSP/OLS imagery using a stable light correction. An area correction for the stable light image of DMSP/OLS for the year 1999 was performed and the building area rate data were used to clarify the intensity distribution characteristics of the stable light. Based on the spatial distribution characteristics of the stable light, the saturation light of the electric power supply area of Japan was corrected using a cubic regression equation. The regression between the correction calculations by the cubic regression equation and the statistical electric power consumption data was applied not only in Japan but also in China, India and 10 other Asian countries. Then, the correction method was evaluated. This study confirms that the electric power consumption can be estimated with high precision from the stable light.
Keywords :
feature extraction; geophysical techniques; image processing; power consumption; remote sensing; AD 1999; China; India; Japan; building area rate data; cubic regression equation; nighttime city light; saturated nighttime DMSP-OLS imagery; spatial distribution characteristics; stable light correction; stable light intensity distribution; statistical electric power consumption data; Cities and towns; Clouds; Data mining; Energy consumption; Equations; Fossil fuels; Global warming; Humans; Remote monitoring; Remote sensing;
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.2009.5137699
Filename :
5137699
Link To Document :
بازگشت