Kaifang Shi
Orcid: 0000-0001-9047-2885
According to our database1,
Kaifang Shi
authored at least 38 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Rapid Socioeconomic Growth in Southeast Asia: Evidence From Nighttime Light Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
A Nighttime Light Based Urban Sprawl Model Revealing Reduced Electricity Intensity With Increasing Urban Size.
IEEE Geosci. Remote. Sens. Lett., 2024
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.
Int. J. Digit. Earth, December, 2023
Extracting and Evaluating Urban Entities in China from 2000 to 2020 Based on SNPP-VIIRS-like Data.
Remote. Sens., September, 2023
Satellite Remotely Sensed Nighttime Lights Reveal Spatiotemporal Dynamics of the Ukrainian-Russian Conflict.
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.
IEEE Geosci. Remote. Sens. Lett., 2023
Luojia 1-01 Data Outperform Suomi-NPP VIIRS Data in Estimating CO<sub>2</sub> Emissions in the Service, Industrial, and Urban Residential Sectors.
IEEE Geosci. Remote. Sens. Lett., 2023
Exploring the Correlations Between SNPP-VIIRS Nighttime Light Data and Population From a Multiple Scale Perspective.
IEEE Geosci. Remote. Sens. Lett., 2023
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.
Comput. Environ. Urban Syst., 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.
Comput. Environ. Urban Syst., 2022
Developing Improved Time-Series DMSP-OLS-Like Data (1992-2019) in China by Integrating DMSP-OLS and SNPP-VIIRS.
IEEE Trans. Geosci. Remote. Sens., 2022
Exploring the construction and application of spatial scene knowledge graphs considering topological relations.
Trans. GIS, 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.
Remote. Sens., 2022
Population, GDP, and Carbon Emissions as Revealed by SNPP-VIIRS Nighttime Light Data in China With Different Scales.
IEEE Geosci. Remote. Sens. Lett., 2022
Identifying and Quantifying Urban Polycentric Development in China From DMSP-OLS Data and Urban Land Data Sets.
IEEE Geosci. Remote. Sens. Lett., 2022
Identifying and evaluating suburbs in China from 2012 to 2020 based on SNPP-VIIRS nighttime light remotely sensed data.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Does China's City-Size Distribution Present a Flat Distribution Trend? A Socioeconomic and Spatial Size Analysis From DMSP-OLS Nighttime Light Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
A Saturated Light Correction Method for DMSP-OLS Nighttime Stable Light Data by Remote and Social Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
NPP-VIIRS Nighttime Light Data Have Different Correlated Relationships With Fossil Fuel Combustion Carbon Emissions From Different Sectors.
IEEE Geosci. Remote. Sens. Lett., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
IEEE Geosci. Remote. Sens. Lett., 2021
A model for representing topological relations between lines considering metric details.
J. Geogr. Syst., 2021
Carbon dioxide (CO2) emissions from the service industry, traffic, and secondary industry as revealed by the remotely sensed nighttime light data.
Int. J. Digit. Earth, 2021
2020
Identification of Polycentric Cities in China Based on NPP-VIIRS Nighttime Light Data.
Remote. Sens., 2020
Spatial Attraction Models Coupled with Elman Neural Networks for Enhancing Sub-Pixel Urban Inundation Mapping.
Remote. Sens., 2020
Exploring Spatial and Temporal Connection Patterns among the Districts in Chongqing Based on Highway Passenger Flow.
Remote. Sens., 2020
J. Geogr. Syst., 2020
Estimating and Interpreting Fine-Scale Gridded Population Using Random Forest Regression and Multisource Data.
ISPRS Int. J. Geo Inf., 2020
2019
Mapping Global Urban Areas From 2000 to 2012 Using Time-Series Nighttime Light Data and MODIS Products.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Delineating Seasonal Relationships Between Suomi NPP-VIIRS Nighttime Light and Human Activity Across Shanghai, China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Remote Sensing of Wetland Flooding at a Sub-Pixel Scale Based on Random Forests and Spatial Attraction Models.
Remote. Sens., 2019
Enhanced Super-Resolution Mapping of Urban Floods Based on the Fusion of Support Vector Machine and General Regression Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2019
2018
Urban Built-Up Area Extraction From Log- Transformed NPP-VIIRS Nighttime Light Composite Data.
IEEE Geosci. Remote. Sens. Lett., 2018
2017
A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing.
IEEE Trans. Geosci. Remote. Sens., 2017
2016
Surface Water Mapping from Suomi NPP-VIIRS Imagery at 30 m Resolution via Blending with Landsat Data.
Remote. Sens., 2016
2015
Poverty Evaluation Using NPP-VIIRS Nighttime Light Composite Data at the County Level in China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
Estimating House Vacancy Rate in Metropolitan Areas Using NPP-VIIRS Nighttime Light Composite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
2014
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.
Remote. Sens., 2014