{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T18:11:33Z","timestamp":1781287893284,"version":"3.54.1"},"reference-count":57,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2019,12,15]],"date-time":"2019-12-15T00:00:00Z","timestamp":1576368000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004032","name":"Jilin University","doi-asserted-by":"publisher","award":["JLUSTIRT, 2017TD-26"],"award-info":[{"award-number":["JLUSTIRT, 2017TD-26"]}],"id":[{"id":"10.13039\/501100004032","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The relationship between urban landscape pattern and land surface temperature (LST) is one of the core issues in urban thermal environment research. Although previous studies have shown a significant correlation between LST and landscape pattern, most were conducted at a single scale and rarely involve multi-scale effects of the landscape pattern. Wavelet coherence can relate the correlation between LST and landscape pattern to spatial scale and location, which is an effective multi-scale correlation method. In this paper, we applied wavelet coherence and Pearson correlation coefficient to analyze the multi-scale correlations between landscape pattern and LST, and analyzed the spatial pattern of the urban thermal environment during the urbanization of Beijing from 2004 to 2017 by distribution index of high-temperature center (HTC). The results indicated that the HTC of Beijing gradually expands from the main urban zone and urban function extended zone to the new urban development zone and far suburb zone, and develops from monocentric to polycentric spatial pattern. Land cover types, such as impervious surfaces and bare land, have a positive contribution to LST, while water and vegetation play a role in mitigating LST. The wavelet coherence and Pearson correlation coefficients showed that landscape composition and spatial configuration have significant effects on LST, but landscape composition has a greater effect on LST in Beijing metropolitan area. Landscape composition indexes (NDBI and NDVI) showed significant multi-scale characteristics with LST, especially at larger scales, which has a strong correlation on the whole transect. There was no significant correlation between the spatial configuration indexes (CONTAG, DIVISION, and LSI) and LST at smaller scales, only at larger scales near the urban area has a significant correlation. With the increase of the scale, Pearson correlation coefficient calculated by spatial rectangle sampling and wavelet coherence coefficient have the same trend, although it had some fluctuations in several locations. However, the wavelet coherence coefficient diagram was smoother and less affected by position and rectangle size, which more conducive to describe the correlation between landscape pattern index and LST at different scales and locations. In general, wavelet coherence provides a multi-scale method to analyze the relationship between landscape pattern and LST, helping to understand urban planning and land management to mitigate the factors affecting urban thermal environment.<\/jats:p>","DOI":"10.3390\/rs11243021","type":"journal-article","created":{"date-parts":[[2019,12,16]],"date-time":"2019-12-16T05:19:38Z","timestamp":1576473578000},"page":"3021","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":42,"title":["Multi-Scale Relationship between Land Surface Temperature and Landscape Pattern Based on Wavelet Coherence: The Case of Metropolitan Beijing, China"],"prefix":"10.3390","volume":"11","author":[{"given":"Qiong","family":"Wu","sequence":"first","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinxiang","family":"Tan","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2250-4977","authenticated-orcid":false,"given":"Fengxiang","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Urban and Environmental Sociology, Helmholtz Centre for Environmental Research-UFZ, Permoserstra\u00dfe 15, D-04318 Leipzig, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongqing","family":"Li","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengbo","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Geo-Exploration Science and Technology, Jilin University, Changchun 130021, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2019,12,15]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S1462-0758(01)00043-7","article-title":"The interdependence of groundwater and urbanisation in rapidly developing cities","volume":"3","author":"Foster","year":"2001","journal-title":"Urban Water"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1146\/annurev-environ-100809-125336","article-title":"The New Geography of Contemporary Urbanization and the Environment","volume":"35","author":"Seto","year":"2010","journal-title":"Annu. Rev. Environ. Resour."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3207","DOI":"10.1002\/joc.4548","article-title":"Temperature, extreme precipitation, and diurnal rainfall changes in the urbanized Jakarta city during the past 130 years","volume":"36","author":"Siswanto","year":"2016","journal-title":"Int. J. Climatol."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1016\/S0169-2046(98)00061-9","article-title":"Impact of climatic fluctuations and land use change on runoff and nutrient losses in rural landscapes","volume":"41","author":"Mander","year":"1998","journal-title":"Landsc. Urban Plan."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1023\/A:1020512723753","article-title":"A gradient analysis of urban landscape pattern: a case study from the Phoenix metropolitan region, Arizona, USA","volume":"17","author":"Luck","year":"2002","journal-title":"Landsc. Ecol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ecolind.2011.08.011","article-title":"Trend analysis of vegetation dynamics in Qinghai\u2013Tibet Plateau using Hurst Exponent","volume":"14","author":"Peng","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1545","DOI":"10.1007\/s10980-013-9901-1","article-title":"Spatiotemporal pattern of urbanization in Shanghai, China between 1989 and 2005","volume":"28","author":"Li","year":"2013","journal-title":"Landsc. Ecol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/joc.859","article-title":"Two decades of urban climate research: a review of turbulence, exchanges of energy and water, and the urban heat island","volume":"23","author":"Arnfield","year":"2003","journal-title":"Int. J. Climatol."},{"key":"ref_9","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_10","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/j.landurbplan.2013.11.014","article-title":"The relationships between landscape compositions and land surface temperature: Quantifying their resolution sensitivity with spatial regression models","volume":"123","author":"Song","year":"2014","journal-title":"Landsc. Urban Plan."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1139","DOI":"10.1007\/s10980-016-0356-z","article-title":"A hierarchical analysis of the relationship between urban impervious surfaces and land surface temperatures: Spatial scale dependence, temporal variations, and bioclimatic modulation","volume":"31","author":"Ma","year":"2016","journal-title":"Landsc. Ecol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.rse.2017.02.020","article-title":"Spatio-temporal analysis of the relationship between 2D\/3D urban site characteristics and land surface temperature","volume":"193","author":"Berger","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_13","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_14","doi-asserted-by":"crossref","first-page":"887","DOI":"10.1007\/s10980-012-9731-6","article-title":"Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area, China","volume":"27","author":"Li","year":"2012","journal-title":"Landsc. Ecol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/s100219900011","article-title":"Quantifying Landscape Spatial Pattern: What Is the State of the Art?","volume":"1","author":"Gustafson","year":"1998","journal-title":"Ecosystems"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.rse.2016.02.063","article-title":"Quantifying the multilevel effects of landscape composition and configuration on land surface temperature","volume":"178","author":"Du","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"1663","DOI":"10.1080\/014311698215171","article-title":"An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization","volume":"19","author":"Owen","year":"1998","journal-title":"Int. J. Remote Sens."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/S0034-4257(03)00007-5","article-title":"Satellite-measured growth of the urban heat island of Houston, Texas","volume":"85","author":"Streutker","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"2695","DOI":"10.1080\/01431160600993389","article-title":"Urban radiation balance of two coastal cities in a hot and dry environment","volume":"28","author":"Frey","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"871","DOI":"10.1007\/s11252-013-0325-0","article-title":"Assessment of landscape patterns affecting land surface temperature in different biophysical gradients in Shenzhen, China","volume":"16","author":"Xie","year":"2013","journal-title":"Urban Ecosyst."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/j.rse.2006.09.003","article-title":"Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery","volume":"106","author":"Yuan","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.ecolind.2012.02.006","article-title":"Cooling effects of wetlands in an urban region: The case of Beijing","volume":"20","author":"Sun","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1007\/s10980-012-9833-1","article-title":"Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona","volume":"28","author":"Connors","year":"2013","journal-title":"Landsc. Ecol."},{"key":"ref_24","first-page":"451","article-title":"Land surface temperature variation and major factors in Beijing, China. Photogramm. Eng","volume":"74","author":"Xiao","year":"2008","journal-title":"Remote Sens"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"2105","DOI":"10.1080\/01431160802549252","article-title":"Estimation of the relationship between vegetation patches and urban land surface temperature with remote sensing","volume":"30","author":"Zhang","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1023\/B:LAND.0000021711.40074.ae","article-title":"Effects of changing scale on landscape pattern analysis: scaling relations","volume":"19","author":"Wu","year":"2004","journal-title":"Landsc. Ecol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1007\/s10980-012-9764-x","article-title":"Temporal variation of characteristic scales in urban landscapes: an insight into the evolving internal structures of China\u2019s two largest cities","volume":"27","author":"Xu","year":"2012","journal-title":"Landsc. Ecol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.jhydrol.2011.07.027","article-title":"Scales and locations of time stability of soil water storage in a hummocky landscape","volume":"408","author":"Biswas","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"430","DOI":"10.1016\/j.scitotenv.2018.11.108","article-title":"Quantifying and simulating landscape composition and pattern impacts on land surface temperature: A decadal study of the rapidly urbanizing city of Beijing, China","volume":"654","author":"Guo","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"805","DOI":"10.2307\/3237046","article-title":"The Use of Wavelets for Spatial Pattern Analysis in Ecology","volume":"9","author":"Dale","year":"1998","journal-title":"J. Veg. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1046\/j.1365-2389.1999.t01-1-00234.x","article-title":"Analysis and elucidation of soil variation using wavelets","volume":"50","author":"Lark","year":"1999","journal-title":"Eur. J. Soil Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1641\/B580512","article-title":"Wavelets for Agriculture and Biology: A Tutorial with Applications and Outlook","volume":"58","author":"Dong","year":"2008","journal-title":"BioScience"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"561","DOI":"10.5194\/npg-11-561-2004","article-title":"Application of the cross wavelet transform and wavelet coherence to geophysical time series","volume":"11","author":"Grinsted","year":"2004","journal-title":"Nonlin Process. Geophys"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.atmosres.2011.06.008","article-title":"Wavelet analysis of airborne CO2 measurements and related meteorological parameters over heterogeneous landscapes","volume":"102","author":"Vadrevu","year":"2011","journal-title":"Atmos. Res."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wu, Q., Guo, F., and Li, H. (2018). Wavelet-Based Correlation Identification of Scales and Locations between Landscape Patterns and Topography in Urban-Rural Profiles: Case of the Jilin City, China. Remote Sens., 10.","DOI":"10.3390\/rs10101653"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.catena.2013.12.004","article-title":"Landscape characteristics influence the spatial pattern of soil water storage: Similarity over times and at depths","volume":"116","author":"Biswas","year":"2014","journal-title":"CATENA"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.ecocom.2004.11.002","article-title":"Identifying scales of pattern in ecological data: a comparison of lacunarity, spectral and wavelet analyses","volume":"2","author":"Saunders","year":"2005","journal-title":"Ecol. Complex."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.isprsjprs.2013.08.010","article-title":"Diurnal and seasonal impacts of urbanization on the urban thermal environment: A case study of Beijing using MODIS data","volume":"85","author":"Qiao","year":"2013","journal-title":"Isprs J. Photogramm. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cities.2016.04.012","article-title":"How does sprawl differ across urban built-up land types in China? A spatial-temporal analysis of the Beijing metropolitan area using granted land parcel data","volume":"58","author":"Jiang","year":"2016","journal-title":"Cities"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1016\/j.rse.2017.09.019","article-title":"Characterizing spatial and temporal trends of surface urban heat island effect in an urban main built-up area: A 12-year case study in Beijing, China","volume":"204","author":"Meng","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_41","first-page":"141","article-title":"Landsat TM and ETM+ thermal band calibration. Can. J","volume":"29","author":"Barsi","year":"2003","journal-title":"Remote Sens"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1535","DOI":"10.3390\/rs3071535","article-title":"Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong","volume":"3","author":"Liu","year":"2011","journal-title":"Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1621","DOI":"10.1080\/01431160802524545","article-title":"Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration","volume":"30","author":"Chander","year":"2009","journal-title":"Int. J. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"893","DOI":"10.1016\/j.rse.2009.01.007","article-title":"Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors","volume":"113","author":"Chander","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/0034-4257(82)90043-8","article-title":"Survey of emissivity variability in thermography of urban areas","volume":"12","author":"Artis","year":"1982","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1109\/JSTARS.2008.917869","article-title":"The Spatial Variations of Urban Land Surface Temperatures: Pertinent Factors, Zoning Effect, and Seasonal Variability","volume":"1","author":"Weng","year":"2008","journal-title":"Ieee J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"3249","DOI":"10.1016\/j.rse.2011.07.008","article-title":"Impacts of landscape structure on surface urban heat islands: A case study of Shanghai, China","volume":"115","author":"Li","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"853","DOI":"10.1016\/j.scs.2018.06.034","article-title":"Urban morphology and landscape structure effect on land surface temperature: Evidence from Shiraz, a semi-arid city","volume":"41","author":"Azhdari","year":"2018","journal-title":"Sustain. Cities Soc."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1029\/97RG00427","article-title":"Wavelet analysis for geophysical applications","volume":"35","author":"Kumar","year":"1997","journal-title":"Rev. Geophys."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1146\/annurev.fl.24.010192.002143","article-title":"WAVELET TRANSFORMS AND THEIR APPLICATIONS TO TURBULENCE","volume":"24","author":"Farge","year":"1992","journal-title":"Annu. Rev. Fluid Mech."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1175\/1520-0477(1998)079<0061:APGTWA>2.0.CO;2","article-title":"A Practical Guide to Wavelet Analysis","volume":"79","author":"Torrence","year":"1998","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Si, B.C., and Zeleke, T.B. (2005). Wavelet coherency analysis to relate saturated hydraulic properties to soil physical properties. Water Resour. Res., 41.","DOI":"10.1029\/2005WR004118"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1016\/j.scitotenv.2019.01.260","article-title":"A multiscale analysis of urbanization effects on ecosystem services supply in an urban megaregion","volume":"662","author":"Wang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"20666","DOI":"10.1073\/pnas.0704119104","article-title":"The emergence of land change science for global environmental change and sustainability","volume":"104","author":"Turner","year":"2007","journal-title":"Proc. Natl. Acad. Sci."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/S0378-7788(96)00999-1","article-title":"Urban climates and heat islands: albedo, evapotranspiration, and anthropogenic heat","volume":"25","author":"Taha","year":"1997","journal-title":"Energy Build."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.apgeog.2013.07.021","article-title":"Analysis of land use\/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China","volume":"44","author":"Zhang","year":"2013","journal-title":"Appl. Geogr."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Dissanayake, D., Morimoto, T., Ranagalage, M., and Murayama, Y. (2019). Land-Use\/Land-Cover Changes and Their Impact on Surface Urban Heat Islands: Case Study of Kandy City, Sri Lanka. Climate, 7.","DOI":"10.3390\/cli7080099"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/24\/3021\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:42:29Z","timestamp":1760190149000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/11\/24\/3021"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,15]]},"references-count":57,"journal-issue":{"issue":"24","published-online":{"date-parts":[[2019,12]]}},"alternative-id":["rs11243021"],"URL":"https:\/\/doi.org\/10.3390\/rs11243021","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,15]]}}}