Improved Denoising of VIIRS Nighttime Light Imagery for Estimating Electric Power Consumption
Authors:
- Jintang LinJLJintang Lin
- Wenzhong ShiWSWenzhong Shi
- 15 November 2019
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Geoscience and Remote Sensing Letters
- Vol. 17 (10) , 1782-1786
Abstract
No abstract availableKeywords
Funding Information
- educational research projects of the Department of Education, Fujian Province (JA15491)
- Scientific Research Project of Longyan University (LB2013011)
This publication has 35 references indexed in Scilit:
- Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS DataRemote Sensing, 2014
- Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in China’s citiesRemote Sensing Letters, 2014
- Modeling the spatiotemporal dynamics of electric power consumption in Mainland China using saturation-corrected DMSP/OLS nighttime stable light dataInternational Journal of Digital Earth, 2013
- Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of ChinaRemote Sensing, 2013
- High spatial resolution night-time light images for demographic and socio-economic studiesRemote Sensing of Environment, 2012
- Creating a Global Grid of Distributed Fossil Fuel CO2 Emissions from Nighttime Satellite ImageryEnergies, 2010
- A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite DataEnergies, 2009
- A global poverty map derived from satellite dataComputers & Geosciences, 2009
- Spatial analysis of global urban extent from DMSP-OLS night lightsRemote Sensing of Environment, 2005
- Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumptionInternational Journal of Remote Sensing, 1997