A spatial finer electric load estimation method based on night-light satellite image
Authors:
- Peiran LiPLPeiran Li
- Haoran ZhangHZHaoran Zhang
- Xin WangXWXin Wang
- Xuan SongXSXuan Song
- Ryosuke ShibasakiRSRyosuke Shibasaki
Abstract
No abstract availableKeywords
This publication has 31 references indexed in Scilit:
- Detection of rural electrification in Africa using DMSP-OLS night lights imageryInternational Journal of Remote Sensing, 2013
- Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of ChinaRemote Sensing, 2013
- Night Lights and Economic Activity in India: A study using DMSP-OLS night time imagesProceedings of the Asia-Pacific Advanced Network, 2011
- Estimating energy consumption from night-time DMPS/OLS imagery after correcting for saturation effectsInternational Journal of Remote Sensing, 2010
- The use of night-time lights satellite imagery as a measure of Australia's regional electricity consumption and population distributionInternational Journal of Remote Sensing, 2010
- Spatial characterization of electrical power consumption patterns over India using temporal DMSP‐OLS night‐time satellite dataInternational Journal of Remote Sensing, 2009
- Review of solutions to global warming, air pollution, and energy securityEnergy & Environmental Science, 2008
- Mapping regional economic activity from night-time light satellite imageryEcological Economics, 2006
- Urban Indicators of China from Radiance-Calibrated Digital DMSP-OLS Nighttime ImagesAnnals of the American Association of Geographers, 2002
- Night-time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas EmissionsAMBIO, 2000