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Extracting and Evaluating Urban Entities in China from 2000 to 2020 Based on SNPP-VIIRS-like Data

https://doi.org/10.3390/rs15184632
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Five decades of neighborhood classifications and their transitions: A comparison of four US cities, 1970–2010
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Detecting the true urban polycentric pattern of Chinese cities in morphological dimensions: A multiscale analysis based on geospatial big data
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Mapping hierarchical urban boundaries for global urban settlements
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Identifying and evaluating suburbs in China from 2012 to 2020 based on SNPP–VIIRS nighttime light remotely sensed data
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An improved approach for monitoring urban built-up areas by combining NPP-VIIRS nighttime light, NDVI, NDWI, and NDBI
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Does industrial agglomeration facilitate environmental performance: New evidence from urban China?
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Measuring urban economic density
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Extracting the dynamics of urban expansion in China using DMSP-OLS nighttime light data from 1992 to 2008
inferredcites →https://doi.org/10.1016/j.landurbplan.2014.06.009openalex-snapshot
Quantifying spatiotemporal patterns of urban impervious surfaces in China: An improved assessment using nighttime light data
inferredcites →https://doi.org/10.1016/j.landurbplan.2019.103709openalex-snapshot
Urban mapping needs up-to-date approaches to provide diverse perspectives of current urbanization: A novel attempt to map urban areas with nighttime light data
inferredcites →https://doi.org/10.1016/j.rse.2005.02.002openalex-snapshot
Spatial analysis of global urban extent from DMSP-OLS night lights
inferredcites →https://doi.org/10.1016/j.rse.2010.03.003openalex-snapshot
Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’
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Mapping urbanization dynamics at regional and global scales using multi-temporal DMSP/OLS nighttime light data
inferredcites →https://doi.org/10.1016/j.rse.2012.04.018openalex-snapshot
Quantitative estimation of urbanization dynamics using time series of DMSP/OLS nighttime light data: A comparative case study from China's cities
inferredcites →https://doi.org/10.1016/j.rse.2014.03.004openalex-snapshot
A cluster-based method to map urban area from DMSP/OLS nightlights
inferredcites →https://doi.org/10.1016/j.rse.2014.11.022openalex-snapshot
Night-time light derived estimation of spatio-temporal characteristics of urbanization dynamics using DMSP/OLS satellite data
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A 30-year (1984–2013) record of annual urban dynamics of Beijing City derived from Landsat data
inferredcites →https://doi.org/10.1016/j.rse.2018.10.015openalex-snapshot
A global record of annual urban dynamics (1992–2013) from nighttime lights
inferredcites →https://doi.org/10.1016/j.rse.2019.03.008openalex-snapshot
Temporal variations of artificial nighttime lights and their implications for urbanization in the conterminous United States, 2013–2017
inferredcites →https://doi.org/10.1016/j.rse.2019.111443openalex-snapshot
Remote sensing of night lights: A review and an outlook for the future
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Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
inferredcites →https://doi.org/10.1016/j.rse.2020.111980openalex-snapshot
Mapping urban dynamics (1992–2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS
inferredcites →https://doi.org/10.1016/j.scs.2021.103338openalex-snapshot
Quantitative Evaluation of Urban Expansion using NPP-VIIRS Nighttime Light and Landsat Spectral Data
inferredcites →https://doi.org/10.1016/s0034-4257(97)00046-1openalex-snapshot
A technique for using composite DMSP/OLS “City Lights” satellite data to map urban area
inferredcites →https://doi.org/10.1038/s41598-020-64673-2openalex-snapshot
The nature of the diffuse light near cities detected in nighttime satellite imagery
inferredcites →https://doi.org/10.1073/pnas.1906258116openalex-snapshot
Scaling trajectories of cities
inferredcites →https://doi.org/10.1080/01431161.2017.1302114openalex-snapshot
Analysis of urbanization dynamics in mainland China using pixel-based night-time light trajectories from 1992 to 2013
inferredcites →https://doi.org/10.1080/15481603.2015.1007778openalex-snapshot
A new method for extracting built-up urban areas using DMSP-OLS nighttime stable lights: a case study in the Pearl River Delta, southern China
inferredcites →https://doi.org/10.1080/15481603.2022.2161199openalex-snapshot
Mapping and evaluating global urban entities (2000–2020): A novel perspective to delineate urban entities based on consistent nighttime light data
inferredcites →https://doi.org/10.1080/2150704x.2014.905728openalex-snapshot
Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas
inferredcites →https://doi.org/10.1088/1748-9326/aaf936openalex-snapshot
Detecting global urban expansion over the last three decades using a fully convolutional network
inferredcites →https://doi.org/10.1109/jstars.2014.2302855openalex-snapshot
Detecting China’s Urban Expansion Over the Past Three Decades Using Nighttime Light Data
inferredcites →https://doi.org/10.1109/jstars.2015.2418201openalex-snapshot
Estimating House Vacancy Rate in Metropolitan Areas Using NPP-VIIRS Nighttime Light Composite Data
inferredcites →https://doi.org/10.1109/jstars.2019.2900457openalex-snapshot
Mapping Global Urban Areas From 2000 to 2012 Using Time-Series Nighttime Light Data and MODIS Products
inferredcites →https://doi.org/10.1109/tgrs.2017.2725917openalex-snapshot
A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing
inferredcites →https://doi.org/10.1257/aer.100.3.1195openalex-snapshot
What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns
inferredcites →https://doi.org/10.12987/yale/9780300101133.001.0001openalex-snapshot
The Baltimore School of Urban Ecology
inferredcites →https://doi.org/10.3390/rs1030534openalex-snapshot
Examining Spatiotemporal Urbanization Patterns in Kathmandu Valley, Nepal: Remote Sensing and Spatial Metrics Approaches
inferredcites →https://doi.org/10.3390/rs11171971openalex-snapshot
Applications of Satellite Remote Sensing of Nighttime Light Observations: Advances, Challenges, and Perspectives
inferredcites →https://doi.org/10.3390/rs12193248openalex-snapshot
Identification of Polycentric Cities in China Based on NPP-VIIRS Nighttime Light Data
inferredcites →https://doi.org/10.3390/rs13040766openalex-snapshot
An Optimized Approach for Extracting Urban Land Based on Log-Transformed DMSP-OLS Nighttime Light, NDVI, and NDWI
inferredcites →https://doi.org/10.3390/rs6087708openalex-snapshot
Characterizing Spatio-Temporal Dynamics of Urbanization in China Using Time Series of DMSP/OLS Night Light Data
inferredcites →https://doi.org/10.3390/rs6087840openalex-snapshot
Comparative Estimation of Urban Development in China’s Cities Using Socioeconomic and DMSP/OLS Night Light Data
inferredcites →https://doi.org/10.3390/rs9020175openalex-snapshot
Urban Land Extraction Using VIIRS Nighttime Light Data: An Evaluation of Three Popular Methods
inferredcites →https://doi.org/10.3390/rs9111141openalex-snapshot
Spatial Recognition of the Urban-Rural Fringe of Beijing Using DMSP/OLS Nighttime Light Data
inferredcites →https://doi.org/10.3390/su11216160openalex-snapshot
The LED Paradox: How Light Pollution Challenges Experts to Reconsider Sustainable Lighting
inferredcites →https://doi.org/10.3390/su8080790openalex-snapshot
Urban Expansion and Agricultural Land Loss in China: A Multiscale Perspective
inferredcites →https://doi.org/10.4236/jss.2014.212013openalex-snapshot
Difficulties and Strategies in the Process of Population Urbanization: A Case Study in Chongqing of China
inferredcites →https://doi.org/10.5194/essd-12-1625-2020openalex-snapshot
Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform
inferredcites →https://doi.org/10.5194/essd-13-889-2021openalex-snapshot
An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration
inferredcites →https://doi.org/10.7125/apan.35.7openalex-snapshot
Why VIIRS data are superior to DMSP for mapping nighttime lights

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Multi-City Comparison of the Impacts of Land Use on Land Surface Temperature in Four East Asian Metropolises
inferred← citeshttps://doi.org/10.1007/s12061-026-09896-yopenalex-snapshot
Assessment of 2D and 3D Urban Built Environment Morphological Changes in Chinese City Clusters
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An evaluation of spatial–temporal dynamics of city size distribution & CO2 emission in China from nighttime light data: a Pathway to sustainable urban planning
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An optimized approach for predicting water quality features and a performance evaluation for mapping surface water potential zones based on Discriminant Analysis (DA), Geographical Information System (GIS) and Machine Learning (ML) models in Baitarani River Basin, Odisha
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Quantitative spatiotemporal evolution of large urban agglomeration expansion based on 1995–2020 nighttime light and spectral data
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Spatial regression analysis of land use impact on land surface temperature in four East Asian metropolises
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A nonparametric approach for detecting urban polycentric spatial structure in China using remote sensing nighttime light and point of interest data
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Mapping urban-rural land use division and spatial patterns in China from multi-source remote sensing
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Spatiotemporal evolution and stage-driven mechanisms of population-land urbanization coupling coordination in counties of the yangtze river delta urban agglomeration: An empirical analysis based on multi-source remote sensing data
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A performance evaluation of random forest, artificial neural network, and support vector machine learning algorithms to predict spatio-temporal land use-land cover dynamics: a case from lusaka and colombo
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The impacts of landscape structure changes on urban surface temperature and heat islands formation of a growing city in southern Sri Lanka
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Evaluating the Spatial-Temporal Dynamics of Urbanization in Prefecture Cities of China Using SNPP-VIIRS Nighttime Light Remote Sensing Data
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