A Simple Method to Improve Estimates of County-Level Economics in China Using Nighttime Light Data and GDP Growth Rate

Adaptive Non-Negative Geographically Weighted Regression for Population Density Estimation Based on Nighttime Light

(2019) Hone-Jay Chu et al.   ISPRS International Journal of Geo-Information

The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels

(2017) Zhaoxin Dai et al.   Sustainability

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 Data

(2014) Kaifang Shi et al.   Remote Sensing

Intercalibration of DMSP-OLS night-time light data by the invariant region method

(2013) Jiansheng Wu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Potential of NPP-VIIRS Nighttime Light Imagery for Modeling the Regional Economy of China

(2013) Xi Li et al.   Remote Sensing

Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008

(2012) Zhifeng Liu et al.   LANDSCAPE AND URBAN PLANNING

The Vegetation Adjusted NTL Urban Index: A new approach to reduce saturation and increase variation in nighttime luminosity

(2012) Qingling Zhang et al.   REMOTE SENSING OF ENVIRONMENT

A Saturated Light Correction Method for DMSP/OLS Nighttime Satellite Imagery

(2011) Husi Letu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Using luminosity data as a proxy for economic statistics

(2011) X. Chen et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Estimating rural populations without access to electricity in developing countries through night-time light satellite imagery

(2010) Christopher N.H. Doll et al.   ENERGY POLICY

A global poverty map derived from satellite data

(2009) Christopher D. Elvidge et al.   COMPUTERS & GEOSCIENCES

A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data

(2009) Christopher Elvidge et al.   Energies