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. - Kaifang Shi; Bailang Yu; Yixiu Huang; Yingjie Hu; Bing Yin; Zuoqi Chen; Liujia Chen; Jianping Wu (Remote. Sens., 2014)

Estimating House Vacancy Rate in Metropolitan Areas Using NPP-VIIRS Nighttime Light Composite Data. - Zuoqi Chen; Bailang Yu; Yingjie Hu; Chang Huang; Kaifang Shi; Jianping Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Poverty Evaluation Using NPP-VIIRS Nighttime Light Composite Data at the County Level in China. - Bailang Yu; Kaifang Shi; Yingjie Hu; Chang Huang; Zuoqi Chen; Jianping Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution via Blending with Landsat Data. - Chang Huang; Yun Chen 010; Shiqiang Zhang; Linyi Li 002; Kaifang Shi; Rui Liu (Remote. Sens., 2016)

A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing. - Zuoqi Chen; Bailang Yu; Wei Song; Hongxing Liu; Qiusheng Wu; Kaifang Shi; Jianping Wu (IEEE Trans. Geosci. Remote. Sens., 2017)

Urban Built-Up Area Extraction From Log- Transformed NPP-VIIRS Nighttime Light Composite Data. - Bailang Yu; Min Tang; Qiusheng Wu; Chengshu Yang; Shunqiang Deng; Kaifang Shi; Chen Peng; Jianping Wu; Zuoqi Chen (IEEE Geosci. Remote. Sens. Lett., 2018)

Enhanced Super-Resolution Mapping of Urban Floods Based on the Fusion of Support Vector Machine and General Regression Neural Network. - Linyi Li 002; Yun Chen 010; Tingbao Xu; Kaifang Shi; Chang Huang; Rui Liu; Binbin Lu; Lingkui Meng (IEEE Geosci. Remote. Sens. Lett., 2019)

Remote Sensing of Wetland Flooding at a Sub-Pixel Scale Based on Random Forests and Spatial Attraction Models. - Linyi Li 002; Yun Chen 010; Tingbao Xu; Kaifang Shi; Rui Liu; Chang Huang; Binbin Lu; Lingkui Meng (Remote. Sens., 2019)

Delineating Seasonal Relationships Between Suomi NPP-VIIRS Nighttime Light and Human Activity Across Shanghai, China. - Zuoqi Chen; Bailang Yu; Na Ta 004; Kaifang Shi; Chengshu Yang; Congxiao Wang; Xizhi Zhao; Shunqiang Deng; Jianping Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Mapping Global Urban Areas From 2000 to 2012 Using Time-Series Nighttime Light Data and MODIS Products. - Zuoqi Chen; Bailang Yu; Yuyu Zhou; Hongxing Liu; Chengshu Yang; Kaifang Shi; Jianping Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data. - Yun Zhou; Mingguo Ma; Kaifang Shi; Zhenyu Peng (ISPRS Int. J. Geo Inf., 2020)

Topological relations between directed line segments in the cyclic space. - Jingwei Shen; Kaifang Shi; Min Chen 008 (J. Geogr. Syst., 2020)

Exploring Spatial and Temporal Connection Patterns among the Districts in Chongqing Based on Highway Passenger Flow. - Yang Huang; Kaifang Shi; Huiming Zong; Tinggang Zhou; Jingwei Shen (Remote. Sens., 2020)

Spatial Attraction Models Coupled with Elman Neural Networks for Enhancing Sub-Pixel Urban Inundation Mapping. - Linyi Li 002; Yun Chen 010; Tingbao Xu; Lingkui Meng; Chang Huang; Kaifang Shi (Remote. Sens., 2020)

Identification of Polycentric Cities in China Based on NPP-VIIRS Nighttime Light Data. - Mingguo Ma; Qin Lang; Hong Yang 005; Kaifang Shi; Wei Ge (Remote. Sens., 2020)

Carbon dioxide (CO2) emissions from the service industry, traffic, and secondary industry as revealed by the remotely sensed nighttime light data. - Kaifang Shi; Jingwei Shen; Yizhen Wu; Shirao Liu; Linyi Li 002 (Int. J. Digit. Earth, 2021)

A model for representing topological relations between lines considering metric details. - Jingwei Shen; Dongzhe Zhao; Kaifang Shi; Mingguo Ma (J. Geogr. Syst., 2021)

Identifying and Evaluating the Nighttime Economy in China Using Multisource Data. - Yuanzheng Cui; Kaifang Shi; Lei Jiang; Lefeng Qiu; Shaohua Wu (IEEE Geosci. Remote. Sens. Lett., 2021)

Airport's Throughput Estimation Using Nighttime Light Data in China Mainland. - Mingguo Ma; Wei Ge; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2021)

NPP-VIIRS Nighttime Light Data Have Different Correlated Relationships With Fossil Fuel Combustion Carbon Emissions From Different Sectors. - Kaifang Shi; Zuoqi Chen; Yuanzheng Cui; Jianping Wu; Bailang Yu (IEEE Geosci. Remote. Sens. Lett., 2021)

A Saturated Light Correction Method for DMSP-OLS Nighttime Stable Light Data by Remote and Social Sensing Data. - Xiaolei Huang 005; Kaifang Shi; Yuanzheng Cui; Yuanqing Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Does China's City-Size Distribution Present a Flat Distribution Trend? A Socioeconomic and Spatial Size Analysis From DMSP-OLS Nighttime Light Data. - Kaifang Shi; Yizhen Wu; Shirao Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Identifying and evaluating suburbs in China from 2012 to 2020 based on SNPP-VIIRS nighttime light remotely sensed data. - Shirao Liu; Kaifang Shi; Yizhen Wu (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Identifying and Quantifying Urban Polycentric Development in China From DMSP-OLS Data and Urban Land Data Sets. - Kaifang Shi; Jingwei Shen; Yizhen Wu; Xuguang Tang (IEEE Geosci. Remote. Sens. Lett., 2022)

Population, GDP, and Carbon Emissions as Revealed by SNPP-VIIRS Nighttime Light Data in China With Different Scales. - Kaifang Shi; Yizhen Wu; Deren Li; Xi Li 016 (IEEE Geosci. Remote. Sens. Lett., 2022)

The Regional Disparity of Urban Spatial Expansion Is Greater than That of Urban Socioeconomic Expansion in China: A New Perspective from Nighttime Light Remotely Sensed Data and Urban Land Datasets. - Zhijian Chang; Shirao Liu; Yizhen Wu; Kaifang Shi (Remote. Sens., 2022)

Exploring the construction and application of spatial scene knowledge graphs considering topological relations. - Jingwei Shen; Kaifang Shi; Mingguo Ma (Trans. GIS, 2022)

Developing Improved Time-Series DMSP-OLS-Like Data (1992-2019) in China by Integrating DMSP-OLS and SNPP-VIIRS. - Yizhen Wu; Kaifang Shi; Zuoqi Chen; Shirao Liu; Zhijian Chang (IEEE Trans. Geosci. Remote. Sens., 2022)

The potential of nighttime light remote sensing data to evaluate the development of digital economy: A case study of China at the city level. - Zuoqi Chen; Ye Wei; Kaifang Shi; Zhiyuan Zhao 004; Congxiao Wang; Bin Wu 010; Bingwen Qiu; Bailang Yu (Comput. Environ. Urban Syst., 2022)

Exploring the effect of urban spatial development pattern on carbon dioxide emissions in China: A socioeconomic density distribution approach based on remotely sensed nighttime light data. - Shirao Liu; Jingwei Shen; Guifen Liu; Yizhen Wu; Kaifang Shi (Comput. Environ. Urban Syst., 2022)

Exploring the Correlations Between SNPP-VIIRS Nighttime Light Data and Population From a Multiple Scale Perspective. - Zhijian Chang; Yizhen Wu; Lili Liu; Jingwei Shen; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2023)

Luojia 1-01 Data Outperform Suomi-NPP VIIRS Data in Estimating CO2 Emissions in the Service, Industrial, and Urban Residential Sectors. - Yuanzheng Cui; Hui Zha; Lei Jiang; Mi Zhang; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2023)

The Impact of COVID-19 Pandemic on Socioeconomic Activity Exchanges in the Himalayan Region: A Satellite Nighttime Light Perspective. - Kaifang Shi; Yuanzheng Cui; Shihai Wu; Shirao Liu (IEEE Geosci. Remote. Sens. Lett., 2023)

Satellite Remotely Sensed Nighttime Lights Reveal Spatiotemporal Dynamics of the Ukrainian-Russian Conflict. - Yuehan Yu; Shirao Liu; Yuanqing Li; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2023)

Extracting and Evaluating Urban Entities in China from 2000 to 2020 Based on SNPP-VIIRS-like Data. - Neel Chaminda Withanage; Kaifang Shi; Jingwei Shen (Remote. Sens., 2023)

Differentiated effects of morphological and functional polycentric urban spatial structure on carbon emissions in China: an empirical analysis from remotely sensed nighttime light approach. - Yizhen Wu; Kaifang Shi; Yuanzheng Cui; Shirao Liu; Lili Liu (Int. J. Digit. Earth, 2023)

A Nighttime Light Remote Sensing Based Urban Spatial Structure Revealing Urban Spatial Polycentric Structure Affected by Haze Pollution. - Lili Liu; Zhijian Chang; Jingwei Shen; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2024)

A Nighttime Light Based Urban Sprawl Model Revealing Reduced Electricity Intensity With Increasing Urban Size. - Kaifang Shi; Yueyan Pan; Linlin Jiang; Junru Wang; Yuanzheng Cui; Ting Dong; Jinji Ma; Chang Huang (IEEE Geosci. Remote. Sens. Lett., 2024)

Remote Sensing Nighttime Lights Reveal the Post-Earthquake Losses and Reconstruction Situations in Turkey-Syria Earthquake Areas. - Zhiyang Xiao; Yueyan Pan; Linlin Jiang; Zuo Wang; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2024)

Rapid Socioeconomic Growth in Southeast Asia: Evidence From Nighttime Light Observations. - Yuanzheng Cui; Ruixue Zhao; Mi Zhang; Lei Wang 156; Yuan Yuan; Xuejun Duan; Kaifang Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model. - Yuehan Yu; Lili Liu; Zhijian Chang; Yuanqing Li; Kaifang Shi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Hillside urban expansion exacerbates nature and semi-nature habitat landscape fragmentation in China. - Zhijian Chang; Lili Liu; Jinji Ma; Weidong Cao; Yuanzheng Cui; Kaifang Shi (Int. J. Digit. Earth, 2024)

An increasing mutual promotion of economic growth between China and the world observed from nighttime light remote sensing. - Zuoqi Chen; Xiaojun You; Congxiao Wang; Wenting Wu; Ye Wei; Kaifang Shi; Bailang Yu (Int. J. Digit. Earth, 2024)

Mapping and evaluating spatiotemporal patterns of urban expansion in global earthquake-affected areas: a nighttime light remote sensing perspective. - Yueyan Pan; Linlin Jiang; Junru Wang; Jinji Ma; Shanju Bao; Yuesheng Lin; Kaifang Shi (Int. J. Digit. Earth, 2024)

Assessing China's Hillside Urban Expansion and Its Urban Thermal Environmental Impacts Using Multisource Data. - Junru Wang; Linlin Jiang; Shanju Bao; Zuo Wang; Kaifang Shi (IEEE Geosci. Remote. Sens. Lett., 2025)