Multi-Scale Measurement of Regional Inequality in Mainland China during 2005–2010 Using DMSP/OLS Night Light Imagery and Population Density Grid Data

Detecting 2014 Northern Iraq Insurgency using night-time light imagery

(2015) Xi Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detecting the 20 year city-size dynamics in China with a rank clock approach and DMSP/OLS nighttime data

(2015) Qingxu Huang et al.   LANDSCAPE AND URBAN PLANNING

Nighttime Light Derived Assessment of Regional Inequality of Socioeconomic Development in China

(2015) Yuke Zhou et al.   Remote Sensing

Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data

(2015) Minghong Tan   Sustainability

Can night-time light images play a role in evaluating the Syrian Crisis?

(2014) Xi Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

A cluster-based method to map urban area from DMSP/OLS nightlights

(2014) Yuyu Zhou et al.   REMOTE SENSING OF ENVIRONMENT

Mapping and Evaluating the Urbanization Process in Northeast China Using DMSP/OLS Nighttime Light Data

(2014) Kunpeng Yi et al.   SENSORS

Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas

(2014) Kaifang Shi et al.   Remote Sensing Letters

Evaluating Saturation Correction Methods for DMSP/OLS Nighttime Light Data: A Case Study from China’s Cities

(2014) Lin Ma et al.   Remote Sensing

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

Economic Growth and Expansion of China’s Urban Land Area: Evidence from Administrative Data and Night Lights, 1993–2012

(2014) John Gibson et al.   Sustainability

Dynamics of Multi-Scale Intra-Provincial Regional Inequality in Zhejiang, China

(2014) Wenze Yue et al.   Sustainability

Modeling the spatiotemporal dynamics of electric power consumption in Mainland China using saturation-corrected DMSP/OLS nighttime stable light data

(2013) Chunyang He et al.   International Journal of Digital Earth

Timely and accurate national-scale mapping of urban land in China using Defense Meteorological Satellite Program’s Operational Linescan System nighttime stable light data

(2013) Yang Yang et al.   Journal of Applied Remote Sensing

It Used To Be Dark Here

(2013) Benjamin T. Tuttle et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Detecting Zimbabwe’s Decadal Economic Decline Using Nighttime Light Imagery

(2013) Xi Li et al.   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

A review of large area monitoring of land cover change using Landsat data

(2012) Matthew C. Hansen et al.   REMOTE SENSING OF ENVIRONMENT

Aerial survey and spatial analysis of sources of light pollution in Berlin, Germany

(2012) Helga U. Kuechly et al.   REMOTE SENSING OF ENVIRONMENT

Global phenological response to climate change in crop areas using satellite remote sensing of vegetation, humidity and temperature over 26years

(2012) M.E. Brown 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

Socio-economic disparities in maternal mortality in China between 1996 and 2006

(2010) XL Feng et al.   BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY

Regional inequality in China's health care expenditures

(2010) Win Lin Chou et al.   HEALTH ECONOMICS

Remotely sensed spatial dynamics of the Illex argentinus fishery, Southwest Atlantic

(2008) Claire M. Waluda et al.   FISHERIES RESEARCH