{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:13:59Z","timestamp":1775243639586,"version":"3.50.1"},"reference-count":61,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T00:00:00Z","timestamp":1615852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Accurately locating key nodes and corridors of an urban heat island (UHI) is the basis for effectively mitigating a regional surface UHI. However, we still lack appropriate methods to describe it, especially considering the interaction between UHIs and the role of connectivity (network). Specifically, previous studies paid much attention to the raster and vector perspective\u2014based on standard landscape configuration metrics that only provide an overall statistic over the entire study area without further indicating locations where different types of pattern and fragmentation occur. Therefore, by reverse thinking, here we attempt to propose a new method from the graph perspective which integrates morphological spatial pattern analysis (MSPA)\u2014which is used to characterize binary patterns with emphasis on connections between their parts as measured at varying analysis scales, and habitat availability indices to evaluate and mitigate regional surface UHI. We selected the Pearl River Delta Metropolitan Region (PRDR), one of the most rapidly urbanized regions in the world as the case study (1995\u20132015). The results of the case study showed: (1) the core (UHI) type accounts for the vast majority of the MSPA model, with the relative land surface temperature (LST) rises, the proportion of the core type will increase, and it could influence the edge (UHI) type significantly; (2) the branch, bridge, and islet (UHI) types have similar results to the lower temperature (4 &lt; Relative LST \u2264 6) area and account for the majority, indicating that these types are more susceptible to their surrounding environment; (3) the importance and extreme importance area (node) from 1995 to 2015 have increased significantly and mainly distributed in the urbanized areas, which means cooling measures need to be implemented in these areas in order of priority. Shifting the research logic of UHI evaluation and mitigation from \u201cpatch\u201d to \u201cnetwork\u201d, we hold the point that the method (reverse thinking) has significant theoretical and practical implications for mitigating regional UHI and urban climate-resilience.<\/jats:p>","DOI":"10.3390\/rs13061127","type":"journal-article","created":{"date-parts":[[2021,3,16]],"date-time":"2021-03-16T21:42:41Z","timestamp":1615930961000},"page":"1127","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":48,"title":["Reverse Thinking: A New Method from the Graph Perspective for Evaluating and Mitigating Regional Surface Heat Islands"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4576-4541","authenticated-orcid":false,"given":"Zhaowu","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Environmental Science and Engineering, Fudan University, Songhu Road 2005, Shanghai 200438, China"}]},{"given":"Jinguang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Rolighedsvej 23, 1958 Copenhagen, Denmark"}]},{"given":"Gaoyuan","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Geosciences and Natural Resource Management, Faculty of Science, University of Copenhagen, Rolighedsvej 23, 1958 Copenhagen, Denmark"}]},{"given":"Juliana","family":"Schlaberg","sequence":"additional","affiliation":[{"name":"Faculty of Environmental Science, Technical University of Dresden, 01062 Dresden, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,3,16]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Oke, T., Mills, G., Christen, A., and Voogt, J. (2017). Urban Climates, Cambridge University Press.","DOI":"10.1017\/9781139016476"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"834","DOI":"10.1016\/j.enbuild.2016.09.067","article-title":"Three decades of urban heat islands and mitigation technologies research","volume":"133","author":"Akbari","year":"2016","journal-title":"Energy Build."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1016\/j.ufug.2017.11.008","article-title":"Variations in land surface temperature and cooling efficiency of green space in rapid urbanization: The case of Fuzhou city, China","volume":"29","author":"Yu","year":"2018","journal-title":"Urban For. Urban Green."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.jclepro.2017.09.153","article-title":"A distributed model for quantifying temporal-spatial patterns of anthropogenic heat based on energy consumption","volume":"170","author":"Sun","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_5","first-page":"402","article-title":"How cities can beat the heat","volume":"524","author":"Hoag","year":"2015","journal-title":"Nat. Cell Biol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1016\/j.solener.2012.07.003","article-title":"Cooling the cities\u2013A review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments","volume":"103","author":"Santamouris","year":"2014","journal-title":"Sol. Energy"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"338","DOI":"10.1016\/j.agrformet.2018.11.027","article-title":"How to cool hot-humid (Asian) cities with urban trees? An optimal landscape size perspective","volume":"265","author":"Fan","year":"2019","journal-title":"Agric. For. Meteorol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"101932","DOI":"10.1016\/j.scs.2019.101932","article-title":"How can urban blue-green space be planned for climate adaption in high-latitude cities? A seasonal perspective","volume":"53","author":"Yang","year":"2020","journal-title":"Sustain. Cities Soc."},{"key":"ref_9","first-page":"30","article-title":"Urban heat island effect: A systematic review of spatio-temporal factors, data, methods, and mitigation measures","volume":"67","author":"Deilami","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Luan, X., Yu, Z., Zhang, Y., Wei, S., Miao, X., Huang, Z.Y.X., Teng, S.N., and Xu, C. (2020). Remote sensing and social sensing data reveal scale-dependent and system-specific strengths of urban Heat island determinants. Remote Sens., 12.","DOI":"10.3390\/rs12030391"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1016\/j.scitotenv.2016.10.195","article-title":"Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia","volume":"577","author":"Estoque","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"6120","DOI":"10.1021\/acs.est.6b06514","article-title":"Effect of VOC emissions from vegetation on air quality in Berlin during a heatwave","volume":"51","author":"Churkina","year":"2017","journal-title":"Environ. Sci. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.enbuild.2014.08.050","article-title":"On the impact of urban overheating and extreme climatic conditions on housing, energy, comfort and environmental quality of vulnerable population in Europe","volume":"98","author":"Santamouris","year":"2015","journal-title":"Energy Build."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1082","DOI":"10.1038\/nclimate2410","article-title":"Rapid increase in the risk of extreme summer heat in Eastern China","volume":"4","author":"Sun","year":"2014","journal-title":"Nat. Clim. Chang."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"16083","DOI":"10.1073\/pnas.1211658109","article-title":"Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools","volume":"109","author":"Seto","year":"2012","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"527","DOI":"10.1016\/j.scitotenv.2016.06.119","article-title":"Heat waves and urban heat islands in Europe: A review of relevant drivers","volume":"569","author":"Ward","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"11160","DOI":"10.1038\/srep11160","article-title":"The footprint of urban heat island effect in China","volume":"5","author":"Zhou","year":"2015","journal-title":"Sci. Rep."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., and Sobrino, J.A. (2018). Satellite remote sensing of surface urban Heat islands: Progress, challenges, and perspectives. Remote Sens., 11.","DOI":"10.3390\/rs11010048"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Forman, R.T. (2014). Urban Ecology: Science of Cities, Cambridge University Press.","DOI":"10.1017\/CBO9781139030472"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1879","DOI":"10.1175\/BAMS-D-11-00019.1","article-title":"Local climate zones for urban temperature studies","volume":"93","author":"Stewart","year":"2012","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1002\/(SICI)1097-0088(199805)18:6<681::AID-JOC289>3.0.CO;2-L","article-title":"The influence of green areas on nocturnal temperatures in a high latitude city (G\u00f6teborg, Sweden)","volume":"18","author":"Upmanis","year":"1998","journal-title":"Int. J. Clim."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"108701","DOI":"10.1103\/PhysRevLett.120.108701","article-title":"Role of city texture in urban Heat islands at nighttime","volume":"120","author":"Sobstyl","year":"2018","journal-title":"Phys. Rev. Lett."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"199","DOI":"10.3390\/ijgi4010199","article-title":"Mapping local climate zones for a worldwide database of the form and function of cities","volume":"4","author":"Bechtel","year":"2015","journal-title":"ISPRS Int. J. GeoInfo."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"761","DOI":"10.1126\/science.1153012","article-title":"The urban transformation of the developing world","volume":"319","author":"Montgomery","year":"2008","journal-title":"Science"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.scitotenv.2019.04.088","article-title":"Spatiotemporal patterns and characteristics of remotely sensed region heat islands during the rapid urbanization (1995\u20132015) of Southern China","volume":"674","author":"Yu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.landurbplan.2011.03.009","article-title":"Does spatial configuration matter? Understanding the effects of land cover pattern on land surface temperature in urban landscapes","volume":"102","author":"Zhou","year":"2011","journal-title":"Landsc. Urban Plan."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.landurbplan.2018.05.015","article-title":"A landscape connectivity model to quantify contributions of heat sources and sinks in urban regions","volume":"178","author":"Sun","year":"2018","journal-title":"Landsc. Urban Plan."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.scitotenv.2018.02.074","article-title":"Remote sensing of the urban heat island effect in a highly populated urban agglomeration area in East China","volume":"628","author":"Zhou","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2050","DOI":"10.1007\/s11430-019-9427-2","article-title":"A conceptual model for a process-oriented landscape pattern analysis","volume":"62","author":"Chen","year":"2019","journal-title":"Sci. China Earth Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.rse.2017.03.043","article-title":"Effects of the spatial configuration of trees on urban heat mitigation: A comparative study","volume":"195","author":"Zhou","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"638","DOI":"10.3846\/jcem.2018.6604","article-title":"Progress in urban greenery mitigation science \u2013 assessment methodologies advanced technologies and impact on cities","volume":"24","author":"Santamouris","year":"2018","journal-title":"J. Civ. Eng. Manag."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.landurbplan.2017.04.009","article-title":"Optimizing green space locations to reduce daytime and nighttime urban heat island effects in Phoenix, Arizona","volume":"165","author":"Zhang","year":"2017","journal-title":"Landsc. Urban Plan."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.landurbplan.2007.03.005","article-title":"A new habitat availability index to integrate connectivity in landscape conservation planning: Comparison with existing indices and application to a case study","volume":"83","author":"Saura","year":"2007","journal-title":"Landsc. Urban Plan."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"571","DOI":"10.2307\/3544927","article-title":"Connectivity is a vital element of landscape structure","volume":"68","author":"Taylor","year":"1993","journal-title":"Oikos"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1431","DOI":"10.1007\/s11442-017-1445-x","article-title":"A proposal for the theoretical analysis of the interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations","volume":"27","author":"Fang","year":"2017","journal-title":"J. Geogr. Sci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.habitatint.2016.02.006","article-title":"Urbanization and administrative restructuring: A case study on the Wuhan urban agglomeration","volume":"55","author":"Zeng","year":"2016","journal-title":"Habitat Int."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.scitotenv.2017.11.360","article-title":"A new method to quantify surface urban heat island intensity","volume":"624","author":"Li","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_38","first-page":"55","article-title":"Magnitude of urban heat islands largely explained by climate and population","volume":"573","author":"Manoli","year":"2019","journal-title":"Nat. Cell Biol."},{"key":"ref_39","first-page":"1","article-title":"Strong contributions of local background climate to the cooling effect of urban green vegetation","volume":"8","author":"Yu","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"105579","DOI":"10.1016\/j.ecolind.2019.105579","article-title":"Suitability of regional development based on ecosystem service benefits and losses: A case study of the Yangtze River Delta urban agglomeration, China","volume":"107","author":"Gao","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1016\/j.patrec.2008.10.015","article-title":"Morphological segmentation of binary patterns","volume":"30","author":"Soille","year":"2009","journal-title":"Pattern Recognit. Lett."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.foreco.2011.03.017","article-title":"Key structural forest connectors can be identified by combining landscape spatial pattern and network analyses","volume":"262","author":"Saura","year":"2011","journal-title":"For. Ecol. Manag."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.envsoft.2008.05.005","article-title":"Conefor Sensinode 2.2: A software package for quantifying the importance of habitat patches for landscape connectivity","volume":"24","author":"Saura","year":"2009","journal-title":"Environ. Model. Softw."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"3241","DOI":"10.1016\/j.scitotenv.2018.10.077","article-title":"Landscape typology and ecological connectivity assessment to inform Greenway design","volume":"651","author":"Carlier","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1007\/s10980-006-9013-2","article-title":"Mapping spatial patterns with morphological image processing","volume":"22","author":"Vogt","year":"2007","journal-title":"Landsc. Ecol."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.landurbplan.2009.10.003","article-title":"A national assessment of green infrastructure and change for the conterminous United States using morphological image processing","volume":"94","author":"Wickham","year":"2010","journal-title":"Landsc. Urban Plan."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Shi, X., and Qin, M. (2018). Research on the optimization of regional green infrastructure network. Sustain. J. Rec., 10.","DOI":"10.3390\/su10124649"},{"key":"ref_48","first-page":"23","article-title":"Integrating landscape connectivity in broad-scale forest planning through a new graph-based habitat availability methodology: Application to capercaillie (Tetrao urogallus) in Catalonia (NE Spain)","volume":"127","author":"Saura","year":"2007","journal-title":"Eur. J. For. Res."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1007\/s10980-006-0013-z","article-title":"Comparison and development of new graph-based landscape connectivity indices: Towards the priorization of habitat patches and corridors for conservation","volume":"21","author":"Saura","year":"2006","journal-title":"Landsc. Ecol."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Yu, W., and Zhou, W. (2017). The spatiotemporal pattern of urban expansion in China: A comparison study of three urban megaregions. Remote Sens., 9.","DOI":"10.3390\/rs9010045"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.foreco.2019.05.046","article-title":"Strong contribution of rapid urbanization and urban agglomeration development to regional thermal environment dynamics and evolution","volume":"446","author":"Yu","year":"2019","journal-title":"For. Ecol. Manag."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.3390\/rs4072033","article-title":"The impacts of rapid urbanization on the thermal environment: A remote sensing study of Guangzhou, South China","volume":"4","author":"Xiong","year":"2012","journal-title":"Remote Sens."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"9829","DOI":"10.3390\/rs6109829","article-title":"Land surface temperature retrieval from landsat 8 TIRS-comparison between radiative transfer equation-based method, split window algorithm and single channel method","volume":"6","author":"Yu","year":"2014","journal-title":"Remote Sens."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1840","DOI":"10.1109\/LGRS.2014.2312032","article-title":"Land surface temperature retrieval methods from landsat-8 thermal infrared sensor data","volume":"11","author":"Sobrino","year":"2014","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1016\/j.ecoser.2016.11.011","article-title":"Effects of green space dynamics on urban heat islands: Mitigation and diversification","volume":"23","author":"Sun","year":"2017","journal-title":"Ecosyst. Serv."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.rse.2017.06.031","article-title":"Google Earth Engine: Planetary-scale geospatial analysis for everyone","volume":"202","author":"Gorelick","year":"2017","journal-title":"Remote Sens. Environ"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s11442-010-0483-4","article-title":"Spatial patterns and driving forces of land use change in China during the early 21st century","volume":"20","author":"Liu","year":"2010","journal-title":"J. Geogr. Sci."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"126630","DOI":"10.1016\/j.ufug.2020.126630","article-title":"Critical review on the cooling effect of urban blue-green space: A threshold-size perspective","volume":"49","author":"Yu","year":"2020","journal-title":"Urban For. Urban Green."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.rse.2015.11.027","article-title":"Urban thermal environment dynamics and associated landscape pattern factors: A case study in the Beijing metropolitan region","volume":"173","author":"Peng","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1016\/j.scitotenv.2018.06.292","article-title":"Linking ecosystem services and circuit theory to identify ecological security patterns","volume":"644","author":"Peng","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"114724","DOI":"10.1016\/j.apenergy.2020.114724","article-title":"Quantifying seasonal and diurnal contributions of urban landscapes to heat energy dynamics","volume":"264","author":"Yu","year":"2020","journal-title":"Appl. Energy"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1127\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:36:35Z","timestamp":1760160995000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/6\/1127"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,16]]},"references-count":61,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2021,3]]}},"alternative-id":["rs13061127"],"URL":"https:\/\/doi.org\/10.3390\/rs13061127","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,16]]}}}