{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T00:39:14Z","timestamp":1760402354580,"version":"build-2065373602"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T00:00:00Z","timestamp":1755129600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T00:00:00Z","timestamp":1755129600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Guangxi University Young and Middle aged Teachers' Research Basic Ability Enhancement Project","award":["2025KY0962"],"award-info":[{"award-number":["2025KY0962"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2025,9]]},"DOI":"10.1007\/s12145-025-01970-2","type":"journal-article","created":{"date-parts":[[2025,8,14]],"date-time":"2025-08-14T03:45:51Z","timestamp":1755143151000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Spatial and temporal variations of land surface temperature and its coupling with atmospheric CO2 concentrations in China from 2009 to 2022"],"prefix":"10.1007","volume":"18","author":[{"given":"Hao","family":"Song","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiqiang","family":"Rao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengya","family":"Sheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaiyuan","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,8,14]]},"reference":[{"key":"1970_CR1","first-page":"934","volume":"36","author":"XZ Deng","year":"2021","unstructured":"Deng XZ, Jiang SJ, Liu B, Wang ZH, Shao Q (2021) Statistical analysis of the relationship between carbon emissions and temperature rise with the spatially heterogenous distribution of carbon dioxide concentration. J Nat Resour 36:934\u2013947","journal-title":"J Nat Resour"},{"key":"1970_CR2","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.rse.2019.02.020","volume":"225","author":"S-B Duan","year":"2019","unstructured":"Duan S-B, Li ZL, Li H, G\u00f6ttsche FM, Wu H, Zhao W, Leng P, Zhang X, Coll C (2019) Validation of collection 6 MODIS land surface temperature product using in situ measurements. Remote Sens Environ 225:16\u201329","journal-title":"Remote Sens Environ"},{"key":"1970_CR3","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.rse.2019.02.020","volume":"225","author":"SB Duan","year":"2019","unstructured":"Duan SB, Li ZL, Li H, G\u00f6ttsche FM, Wu H, Zhao W, Leng P, Zhang X, Coll C (2019) Validation of collection 6 MODIS land surface temperature product using in situ measurements. Remote Sens Environ 225:16\u201329","journal-title":"Remote Sens Environ"},{"issue":"17","key":"1970_CR4","doi-asserted-by":"publisher","first-page":"4363","DOI":"10.1080\/01431161.2015.1081305","volume":"36","author":"M Guo","year":"2015","unstructured":"Guo M, Xu J, Wang X, He H, Li J, Wu Li (2015) Estimating CO2 concentration during the growing season from MODIS and GOSAT in East Asia. Int J Remote Sens 36(17):4363\u20134383","journal-title":"Int J Remote Sens"},{"key":"1970_CR5","first-page":"1385","volume":"31","author":"HD Guo","year":"2016","unstructured":"Guo HD, Wang XY, Wu BF, Li XW (2016) Cognizing population density demarcative line (Hu Huanyong-line) based on space technology. Bull Chin Acad Sci 31:1385\u20131394","journal-title":"Bull Chin Acad Sci"},{"key":"1970_CR6","doi-asserted-by":"publisher","first-page":"839","DOI":"10.3390\/rs10060839","volume":"10","author":"Z He","year":"2018","unstructured":"He Z, Lei L, Welp LR, Zeng Z-C, Bie N, Yang S, Liu L (2018) Detection of Spatiotemporal Extreme Changes in Atmospheric CO2 Concentration Based on Satellite Observations. Remote Sens 10:839","journal-title":"Remote Sens"},{"key":"1970_CR7","doi-asserted-by":"publisher","first-page":"139290","DOI":"10.1016\/j.jclepro.2023.139290","volume":"428","author":"Q He","year":"2023","unstructured":"He Q, Ye T, Chen X, Dong H, Wang W, Liang Y, Li Y (2023) Full-coverage mapping high-resolution atmospheric CO2 concentrations in China from 2015 to 2020: Spatiotemporal variations and coupled trends with particulate pollution. J Clean Prod 428:139290","journal-title":"J Clean Prod"},{"key":"1970_CR8","unstructured":"Institute of Geographic Sciences and Natural Resources Research, Resource and environment science and Data Center (IGSNRR, Resdc). (n.d.) Available online: https:\/\/www.resdc.cn\/data.aspx?DATAID=243. Accessed 2 Dec 2022"},{"key":"1970_CR9","doi-asserted-by":"publisher","first-page":"869","DOI":"10.5194\/essd-15-869-2023","volume":"15","author":"A Jia","year":"2023","unstructured":"Jia A, Liang S, Wang D, Ma L, Wang Z, Xu S (2023) Global hourly, 5 km, all-sky land surface temperature data from 2011 to 2021 based on integrating geostationary and polar-orbiting satellite data. Earth Syst Sci Data 15:869\u2013895","journal-title":"Earth Syst Sci Data"},{"key":"1970_CR10","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MGRS.2024.3421268","volume":"12","author":"A Jia","year":"2024","unstructured":"Jia A, Liang S, Wang D, Mallick K, Zhou S, Hu T, Xu S (2024) Advances in methodology and generation of all-weather land surface temperature products from polar-orbiting and geostationary satellites: A comprehensive review. IEEE Geosci Remote Sens Mag 12:18\u2013260","journal-title":"IEEE Geosci Remote Sens Mag"},{"key":"1970_CR11","doi-asserted-by":"crossref","unstructured":"Lei Y, Zhu WB, Yao TD, Yang K, Zhang XW Zhai JQ, Ma N (2019) Extreme Lake Level Changes on the Tibetan Plateau Associated With the 2015\/2016 El Ni\u00f1o. Geophys Res Lett 46, 5889\u20135898","DOI":"10.1029\/2019GL081946"},{"key":"1970_CR12","unstructured":"Level-1 and Atmosphere Archive & Distribution System Distributed Active Archive Center (LAADS DAAC) (n.d.)Available online: https:\/\/ladsweb.modaps.eosdis.nasa.gov\/missions-and-measurements\/products\/MOD11C3 (accessed on 23 December 2022)"},{"key":"1970_CR13","doi-asserted-by":"publisher","first-page":"361","DOI":"10.3390\/rs8050361","volume":"8","author":"M Liu","year":"2016","unstructured":"Liu M, Lei L, Liu D, Zeng Z-C (2016) Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations. Remote Sens 8:361","journal-title":"Remote Sens"},{"key":"1970_CR14","doi-asserted-by":"publisher","DOI":"10.3390\/land11050711","volume":"11","author":"Y Lu","year":"2022","unstructured":"Lu Y, Wu P, Xu K (2022) Multi-time scale analysis of urbanization in urban thermal environment in major function-oriented zones at Landsat-scale: a case study of Hefei City China. Land 11:711","journal-title":"Land"},{"key":"1970_CR15","unstructured":"Masson-Delmotte V, Zhai P, Pirani A Connors SL, P\u00e9an C, Berger S, Caud N, Chen Y, Goldfarb L, Gomis MI, Huang M, Leitzell K, Lonnoy E, Matthews JBR, Maycock TK, Waterfield T, Yelek\u00e7i O, Yu R, Zhou B. IPCC, (2021) Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press. In Press"},{"key":"1970_CR16","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1038\/nature22315","volume":"545","author":"I Medhaug","year":"2017","unstructured":"Medhaug I, Stolpe MB, Fischer EM, Knutti R (2017) Reconciling controversies about the \u2018global warming hiatus.\u2019 Nature 545:41\u201347","journal-title":"Nature"},{"key":"1970_CR17","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1038\/nature13470","volume":"512","author":"ST Michaletz","year":"2014","unstructured":"Michaletz ST, Cheng D, Kerkhoff AJ, Enquist BJ (2014) Convergence of terrestrial plant production across global climate gradients. Nature 512:39\u201343","journal-title":"Nature"},{"key":"1970_CR18","doi-asserted-by":"publisher","first-page":"3524","DOI":"10.3390\/rs13173524","volume":"13","author":"M Sheng","year":"2021","unstructured":"Sheng M, Lei L, Zeng Z-C, Rao W, Zhang S (2021) Detecting the Responses of CO2 Column Abundances to Anthropogenic Emissions from Satellite Observations of GOSAT and OCO-2. Remote Sens 13:3524","journal-title":"Remote Sens"},{"key":"1970_CR19","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1080\/20964471.2022.2033149","volume":"7","author":"M Sheng","year":"2023","unstructured":"Sheng M, Lei L, Zeng Z-C, Rao W, Zhang S, Wu C (2023) Global land 1\u00b0 mapping dataset of XCO2 from satellite observations of GOSAT and OCO-2 from 2009 to 2020. Big Earth Data 7:170\u2013190","journal-title":"Big Earth Data"},{"key":"1970_CR20","doi-asserted-by":"publisher","first-page":"2676","DOI":"10.1007\/s11430-014-4889-1","volume":"57","author":"P Shi","year":"2014","unstructured":"Shi P, Sun S, Wang M, Li N, Wang J, Jin Y, Gu X, Yin W (2014) Climate change regionalization in China (1961\u20132010). Sci China Earth Sci 57:2676\u20132689","journal-title":"Sci China Earth Sci"},{"key":"1970_CR21","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1016\/j.jenvman.2019.05.049","volume":"244","author":"Z Siabi","year":"2019","unstructured":"Siabi Z, Falahatkar S, Alavi SJ (2019) Spatial distribution of XCO2 using OCO-2 data in growing seasons. J Environ Manage 244:110\u2013118","journal-title":"J Environ Manage"},{"key":"1970_CR22","first-page":"102537","volume":"104","author":"Z Song","year":"2021","unstructured":"Song Z, Yang H, Huang X, Yu W, Huang J, Ma M (2021) The spatiotemporal pattern and influencing factors of land surface temperature change in China from 2003 to 2019. Int J Appl Earth Obs Geoinf 104:102537","journal-title":"Int J Appl Earth Obs Geoinf"},{"key":"1970_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.envint.2020.105514","volume":"137","author":"S Sun","year":"2020","unstructured":"Sun S, Sun L, Liu G, Zou C, Wang Y, Wu L, Mao H (2020) Vehicle emissions in a middle-sized city of China: current status and future trends. Environ Int 137:105514","journal-title":"Environ Int"},{"key":"1970_CR24","unstructured":"The annual global temperature forecast by the UK\u2019s Met Office (n.d.) Available online: https:\/\/www.metoffice.gov.uk\/about-us\/press-office\/news\/weather-and-climate\/2022\/2023-global-temperature-forecast (accessed on 2 January 2023)."},{"key":"1970_CR25","first-page":"1713","volume":"77","author":"H Tian","year":"2022","unstructured":"Tian H, Liu L, Zhang ZY, Chen HJ, Zhang XY, Wang TX, Kang ZW (2022) Spatiotemporal diversity and attribution analysis of land surface temperature in China from 2001 to 2020. Acta Geogr Sin 77:1713\u20131729","journal-title":"Acta Geogr Sin"},{"key":"1970_CR26","unstructured":"Wan Z (n.d.) MODIS Land-Surface Temperature Algorithm Theoretical Basis Document (LST ATBD)"},{"key":"1970_CR27","first-page":"319","volume":"15","author":"Z Wang","year":"1995","unstructured":"Wang Z, Zhang P, Liu X, Liu Y (1995) On the ecological sensitive zone in China. Acta Ecol Sin 15:319\u2013326","journal-title":"Acta Ecol Sin"},{"key":"1970_CR28","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.quaint.2019.06.006","volume":"523","author":"X Wang","year":"2019","unstructured":"Wang X, Chen R, Han C, Yang Y, Liu J, Liu Z, Song Y (2019) Response of frozen ground under climate change in the Qilian Mountains China. Quat Int 523:10\u201315","journal-title":"Quat Int"},{"key":"1970_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecolind.2021.107845","volume":"128","author":"Z Wang","year":"2021","unstructured":"Wang Z, Meng QY, Allam M, Hu D, Zhang LL, Menenti M (2021) Environmental and anthropogenic drivers of surface urban heat island intensity: a case-study in the Yangtze River Delta China. Ecol Indic 128:107845","journal-title":"Ecol Indic"},{"key":"1970_CR30","first-page":"102342","volume":"100","author":"B Wei","year":"2021","unstructured":"Wei B, Bao Y, Yu S, Yin S, Zhang Y (2021) Analysis of land surface temperature variation based on MODIS data a case study of the agricultural pastural ecotone of northern China. Int J Appl Earth Obs Geoinf 100:102342","journal-title":"Int J Appl Earth Obs Geoinf"},{"key":"1970_CR31","unstructured":"WMO Bulletin (2022) The journal of the World Meteorological Organization. World Meteorological Organization 71"},{"key":"1970_CR32","doi-asserted-by":"publisher","first-page":"112256","DOI":"10.1016\/j.rse.2020.112256","volume":"254","author":"S Xu","year":"2021","unstructured":"Xu S, Cheng J (2021) A new land surface temperature fusion strategy based on cumulative distribution function matching and multiresolution Kalman filtering. Remote Sensing Environ 254:112256","journal-title":"Remote Sensing Environ"},{"key":"1970_CR33","first-page":"1","volume":"20","author":"S Xu","year":"2023","unstructured":"Xu S, Wang D, Liang S, Liu Y, Jia A (2023) Assessing the reliability of the MODIS LST product to detect temporal variability. IEEE Geosci Remote Sensing Lett 20:1\u20135","journal-title":"IEEE Geosci Remote Sensing Lett"},{"key":"1970_CR34","doi-asserted-by":"publisher","first-page":"6501","DOI":"10.1109\/JSTARS.2021.3089851","volume":"14","author":"M Yang","year":"2021","unstructured":"Yang M, Zhao W, Zhan Q, Xiong D (2021) Spatiotemporal patterns of land surface temperature change in the Tibetan Plateau based on MODIS\/Terra daily product from 2000 to 2018. IEEE J Sel Top Appl Earth Obs Remote Sens 14:6501\u20136514","journal-title":"IEEE J Sel Top Appl Earth Obs Remote Sens"},{"key":"1970_CR35","doi-asserted-by":"publisher","first-page":"031104","DOI":"10.1063\/5.0040360","volume":"31","author":"N Ying","year":"2021","unstructured":"Ying N, Wang W, Fan J, Zhou D, Han Z, Chen Q, Ye Q, Xue Z (2021) Climate network approach reveals the modes of CO2 concentration to surface air temperature. Chaos Interdisciplinary J Nonlinear Sci 31:031104","journal-title":"Chaos Interdisciplinary J Nonlinear Sci"},{"key":"1970_CR36","doi-asserted-by":"publisher","first-page":"1533","DOI":"10.5194\/amt-6-1533-2013","volume":"6","author":"Y Yoshida","year":"2013","unstructured":"Yoshida Y, Kikuchi N, Morino I, Uchino O, Oshchepkov S, Bril A, Saeki T, Schutgens N, Toon GC, Wunch D, Roehl CM, Wennberg PO, Griffith DWT, Deutscher NM, Warneke T, Notholt J, Robinson J, Sherlock V, Connor B, Rettinger M, Sussmann R, Ahonen P, Heikkinen P, Kyr\u00f6 E, Mendonca J, Strong K, Hase F, Dohe S, Yokota T (2013) Improvement of the retrieval algorithm for GOSAT SWIR XCO2 and XCH4 and their validation using TCCON data. Atmos Meas Tech 6:1533\u20131547","journal-title":"Atmos Meas Tech"},{"key":"1970_CR37","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1080\/17538947.2016.1156777","volume":"10","author":"Z-C Zeng","year":"2017","unstructured":"Zeng Z-C, Lei L, Strong K, Jones DBA, Guo L, Liu M, Deng F, Deutscher NM, Dubey MK, Griffith DWT, Hase F, Henderson B, Kivi R, Lindenmaier R, Morino I, Notholt J, Ohyama H, Petri C, Sussmann R, Velazco VA, Wennberg PO, Lin H (2017) Global land mapping of satellite-observed CO2 total columns using spatio-temporal geostatistics. Int J Digit Earth 10:426\u2013456","journal-title":"Int J Digit Earth"},{"key":"1970_CR38","doi-asserted-by":"crossref","unstructured":"Zhang HM, Lawrimore JH, Huang B, Menne MJ, Yin X, S\u00e1nchez-Lugo A, Gleason BE, Vose R, Arndt D, Rennie JJ, Williams CN (2019) Updated Temperature Data Give a Sharper View of Climate Trends. Eos Transactions American Geophysical Union 100","DOI":"10.1029\/2019EO128229"},{"key":"1970_CR39","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1016\/j.ecoinf.2013.03.004","volume":"15","author":"J Zscheischler","year":"2013","unstructured":"Zscheischler J, Mahecha MD, Harmeling S, Reichstein M (2013) Detection and attribution of large spatiotemporal extreme events in Earth observation data. Ecol Inform 15:66\u201373","journal-title":"Ecol Inform"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-025-01970-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-025-01970-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-025-01970-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T13:34:01Z","timestamp":1760362441000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-025-01970-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,14]]},"references-count":39,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,9]]}},"alternative-id":["1970"],"URL":"https:\/\/doi.org\/10.1007\/s12145-025-01970-2","relation":{},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"type":"print","value":"1865-0473"},{"type":"electronic","value":"1865-0481"}],"subject":[],"published":{"date-parts":[[2025,8,14]]},"assertion":[{"value":"28 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 June 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}],"article-number":"496"}}