Using DMSP/OLS nighttime light data and K–means method to identify urban–rural fringe of megacities

Bauer, 2013, Conserving metapopulations in human–altered landscapes at the urban–rural fringe, Ecological Economics, 95, 159, 10.1016/j.ecolecon.2013.08.013

Bennett, 2017, Advances in using multitemporal night–time lights satellite imagery to detect, estimate, and monitor socioeconomic dynamics, Remote Sensing of Environment, 192, 176, 10.1016/j.rse.2017.01.005

Cao, 2012, Changing spatial and structural patterns of non–agricultural activities in outward–moving Beijing urban–rural fringe, Chinese Geographical Science, 22, 718, 10.1007/s11769-012-0567-4

Chang, 2020, A study of the impacts of urban expansion on vegetation primary productivity levels in the Jing–Jin–Ji region, based on nighttime light data, Journal of Cleaner Production, 263, 121490, 10.1016/j.jclepro.2020.121490

Cheng, 2018, Mix leading to success? Exploring the innovative development model in peri–urban China, Habitat International, 82, 1, 10.1016/j.habitatint.2018.10.005

Delmelle, 2015, Five decades of neighborhood classifications and their transitions: A comparison of four us cities, 1970–2010, Applied Geography, 57, 1, 10.1016/j.apgeog.2014.12.002

Díaz–Palacios–Sisternes, 2014, A method for detecting and describing land use transformations: An examination of madrid's southern urban–rural gradient between 1990 and 2006, Cities, 40, 99, 10.1016/j.cities.2014.03.010

Gao, 2014, Clustering urban multifunctional landscapes using the self–organizing feature map neural network model, Journal of Urban Planning and Development, 140, 11, 10.1061/(ASCE)UP.1943-5444.0000170

Garreau, 1992, Edge city: Life on the new frontier, The Urban Lawyer, 24, 233

Gober, 2002, The size and shape of Phoenix's urban–rural fringe, Journal of Planning Education and Research, 21, 379, 10.1177/0739456X0202100403

Haregeweyn, 2012, The dynamics of urban expansion and its impacts on land use/land cover change and small–scale farmers living near the urban–rural fringe: A case study of bahir dar, Ethiopia, Landscape and Urban Planning, 106, 149, 10.1016/j.landurbplan.2012.02.016

Hu, 2015, Urban boundary extraction and sprawl analysis using landsat images: A case study in wuhan, China, Habitat International, 47, 183, 10.1016/j.habitatint.2015.01.017

Imhoff, 2010, Remote sensing of the urban heat island effect across biomes in the continental USA, Remote Sensing of Environment, 114, 504, 10.1016/j.rse.2009.10.008

John, 1965, The urban field, Journal of the American Planning Association, 31, 312

Koch, 2019, Modeling landowner interactions and development patterns at the urban fringe, Landscape and Urban Planning, 182, 101, 10.1016/j.landurbplan.2018.09.023

Kolbe, 2016, Effects of natural and anthropogenic environmental influences on tree community composition and structure in forests along an urban–wildland gradient in southwestern Ohio, Urban Ecosystems, 19, 1, 10.1007/s11252-016-0531-7

Li, 2016, Monitoring urban dynamics in the southeast USA using time–series DMSP/OLS nightlight imagery, Remote Sensing, 8, 578, 10.3390/rs8070578

Li, 2018, A new urban typology model adapting data mining analytics to examine dominant trajectories of neighborhood change: A case of metro detroit, Annals of the Association of American Geographers, 108, 1313, 10.1080/24694452.2018.1433016

Li, 2013, Forty years of urban expansion in Beijing: What is the relative importance of physical, socioeconomic, and neighborhood factors?, Applied Geography, 38, 1

Lu, 2015, Regional mapping of human settlements in southeastern China with multisensor remotely sensed data, Remote Sensing of Environment, 112, 3668, 10.1016/j.rse.2008.05.009

Peng, 2018, A new approach for urban–rural fringe identification: Integrating impervious surface area and spatial continuous wavelet transform, Landscape and Urban Planning, 175, 72, 10.1016/j.landurbplan.2018.03.008

Peng, 2016, Urban thermal environment dynamics and associated landscape pattern factors: A case study in the beijing metropolitan region, Remote Sensing of Environment, 173, 145, 10.1016/j.rse.2015.11.027

Peng, 2016, Identifying the urban–rural fringe using wavelet transform and kernel density estimation: A case study in beijing city, China, Environmental Modelling & Software, 83, 286, 10.1016/j.envsoft.2016.06.007

Raupach, 2010, Regional variations in spatial structure of nightlights, population density and fossil–fuel CO2, emissions, Energy Policy, 38, 4756, 10.1016/j.enpol.2009.08.021

Ravetz, 2013, The dynamics of peri–urbanization, 1, 10.1007/978-3-642-30529-0_2

Rokach, 2005

Sharp, 2008, Between the country and the concrete: Rediscovering the rural–urban–rural fringe, City & Community, 7, 61, 10.1111/j.1540-6040.2007.00241.x

Surhone, 2010

Sylla, 2019, Valuing environmental amenities in peri–urban areas: Evidence from Poland, Sustainaility, 11, 570, 10.3390/su11030570

Thorn, 2015, Autonomous adaptation to global environmental change in peri–urban settlements: Evidence of a growing culture of innovation and revitalisation in Mathare Valley Slums, Nairobi, Global Environmental Change, 31, 121, 10.1016/j.gloenvcha.2014.12.009

Vizzari, 2015, Landscape sequences along the urban–rural–natural gradient: A novel geospatial approach for identification and analysis, Landscape and Urban Planning, 140, 42, 10.1016/j.landurbplan.2015.04.001

Wang, 2014, Exploring the relationship between urbanization and the eco–environment–A case study of Beijing–Tianjin–Hebei region, Ecological Indicators, 45, 171, 10.1016/j.ecolind.2014.04.006

Wang, 2017, Mapping regional urban extent using NPP–VIIRS DNB and MODIS NDVI data, Remote Sensing, 9, 862, 10.3390/rs9080862

Wei, 2020, Simulation and evaluation of the spatial heterogeneity of shallow-groundwater environmental risk in an urban-rural fringe of megacity: A case study of shenyang city, northeast China, Environmental Earth Sciences, 79, 250, 10.1007/s12665-020-08975-8

Wu, 2013, Intercalibration of DMSP–OLS night–time light data by the invariant region method, International Journal of Remote Sensing, 34, 7356, 10.1080/01431161.2013.820365

Xie, 2017, Spatiotemporally enhancing time–series DMSP/OLS nighttime light imagery for assessing large–scale urban dynamics, ISPRS Journal of Photogrammetry and Remote Sensing, 128, 1, 10.1016/j.isprsjprs.2017.03.003

Yan, 2018, Toward improved land elements for urban–rural integration: A cell concept of an urban–rural mixed community, Habitat International, 77, 110, 10.1016/j.habitatint.2018.01.007

Yang, 2017, Spatial recognition of the urban–rural fringe of Beijing using DMSP/OLS nighttime light data, Remote Sensing, 9, 1141, 10.3390/rs9111141

Zhang, 2014, Transit development shaping urbanization: Evidence from the housing market in Beijing, Habitat International, 44, 545, 10.1016/j.habitatint.2014.10.012

Zhao, 2013, Too complex to be managed? New trends in peri–urbanisation and its planning in beijing, Cities, 30, 68, 10.1016/j.cities.2011.12.008

Zhou, 2014, A cluster–based method to map urban area from DMSP/OLS nightlights, Remote Sensing of Environment, 147, 173, 10.1016/j.rse.2014.03.004