Kaifang Shi

Orcid: 0000-0001-9047-2885

According to our database1, Kaifang Shi authored at least 44 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Mapping and evaluating spatiotemporal patterns of urban expansion in global earthquake-affected areas: a nighttime light remote sensing perspective.
Int. J. Digit. Earth, December, 2024

An increasing mutual promotion of economic growth between China and the world observed from nighttime light remote sensing.
Int. J. Digit. Earth, December, 2024

Hillside urban expansion exacerbates nature and semi-nature habitat landscape fragmentation in China.
Int. J. Digit. Earth, December, 2024

Detecting Forest Fires in Southwest China From Remote Sensing Nighttime Lights Using the Random Forest Classification Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Rapid Socioeconomic Growth in Southeast Asia: Evidence From Nighttime Light Observations.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Remote Sensing Nighttime Lights Reveal the Post-Earthquake Losses and Reconstruction Situations in Turkey-Syria Earthquake Areas.
IEEE Geosci. Remote. Sens. Lett., 2024

A Nighttime Light Based Urban Sprawl Model Revealing Reduced Electricity Intensity With Increasing Urban Size.
IEEE Geosci. Remote. Sens. Lett., 2024

A Nighttime Light Remote Sensing Based Urban Spatial Structure Revealing Urban Spatial Polycentric Structure Affected by Haze Pollution.
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

Airport's Throughput Estimation Using Nighttime Light Data in China Mainland.
IEEE Geosci. Remote. Sens. Lett., 2021

Identifying and Evaluating the Nighttime Economy in China Using Multisource Data.
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

Topological relations between directed line segments in the cyclic space.
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


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