{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,9]],"date-time":"2026-07-09T02:58:25Z","timestamp":1783565905235,"version":"3.55.0"},"reference-count":45,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,3,7]],"date-time":"2023-03-07T00:00:00Z","timestamp":1678147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The Natural Science Foundation of China","award":["32060279"],"award-info":[{"award-number":["32060279"]}]},{"name":"The Natural Science Foundation of China","award":["ZR2022MD063"],"award-info":[{"award-number":["ZR2022MD063"]}]},{"name":"The Natural Science Foundation of China","award":["318052036"],"award-info":[{"award-number":["318052036"]}]},{"name":"The Natural Science Foundation of China","award":["318052116"],"award-info":[{"award-number":["318052116"]}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["32060279"],"award-info":[{"award-number":["32060279"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["ZR2022MD063"],"award-info":[{"award-number":["ZR2022MD063"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["318052036"],"award-info":[{"award-number":["318052036"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007129","name":"Natural Science Foundation of Shandong Province","doi-asserted-by":"publisher","award":["318052116"],"award-info":[{"award-number":["318052116"]}],"id":[{"id":"10.13039\/501100007129","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Startup Fund of Liaocheng University","award":["32060279"],"award-info":[{"award-number":["32060279"]}]},{"name":"Startup Fund of Liaocheng University","award":["ZR2022MD063"],"award-info":[{"award-number":["ZR2022MD063"]}]},{"name":"Startup Fund of Liaocheng University","award":["318052036"],"award-info":[{"award-number":["318052036"]}]},{"name":"Startup Fund of Liaocheng University","award":["318052116"],"award-info":[{"award-number":["318052116"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The spatial and temporal characteristics of land use carbon emissions are relevant to the sustainable use of land resources. Although spatial and temporal studies have been conducted on land use carbon emissions, the spatial correlation of land use carbon emissions at the city level still requires further research. Here, we estimated the distribution of carbon emissions at the city level in Shandong Peninsula urban agglomeration in spatial and temporal terms based on land use remote sensing data and fossil energy consumption data during 2000\u20132019. The results showed that the land use change in the 16 cities in the study area was the conversion of cropland to construction land. Carbon emissions from land use had an upward trend for all 16 cities overall during the period of 2000\u20132019, but the incremental carbon emissions trended downward after 2010. Among them, Jinan and Qingdao had higher carbon emissions than other cities. In addition, we also found that land use carbon emissions at the city level were characterized by stochasticity, while per capita carbon emissions displayed geospatial aggregation. Among them, Yantai displayed a spatial pattern of high\u2013high clustering of carbon emissions, while Jining presented a spatial pattern of low\u2013low clustering in terms of land-average carbon emissions and carbon emissions per capita during 2000\u20132019. The results of the study are important for guiding the achievement of urban carbon emission reduction and carbon neutrality targets at the city level.<\/jats:p>","DOI":"10.3390\/rs15061488","type":"journal-article","created":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T01:58:22Z","timestamp":1678240702000},"page":"1488","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Spatial Correlations of Land Use Carbon Emissions in Shandong Peninsula Urban Agglomeration: A Perspective from City Level Using Remote Sensing Data"],"prefix":"10.3390","volume":"15","author":[{"given":"Lin","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Geography and Environment, Liaocheng University, Liaocheng 252059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chuan-hao","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Geography and Environment, Liaocheng University, Liaocheng 252059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu-chen","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Geography and Environment, Liaocheng University, Liaocheng 252059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Geography and Environment, Liaocheng University, Liaocheng 252059, China"},{"name":"Institute of Huanghe Studies, Liaocheng University, Liaocheng 252059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi-peng","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geography and Environment, Liaocheng University, Liaocheng 252059, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"101347","DOI":"10.1016\/j.uclim.2022.101347","article-title":"Impact of urban expansion on land surface temperature and carbon emissions using machine learning algorithms in Wuhan, China","volume":"47","author":"Zhang","year":"2023","journal-title":"Urban Clim."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Ranagalage, M., Morimoto, T., Simwanda, M., and Murayama, Y. (2021). Spatial Analysis of Urbanization Patterns in Four Rapidly Growing South Asian Cities Using Sentinel-2 Data. Remote Sens., 13.","DOI":"10.3390\/rs13081531"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103890","DOI":"10.1016\/j.scs.2022.103890","article-title":"A spatio-temporal framework for sustainable planning of buildings based on carbon emissions at the city scale","volume":"82","author":"Dabous","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1038\/s41467-020-14386-x","article-title":"Global projections of future urban land expansion under shared socioeconomic pathways","volume":"11","author":"Chen","year":"2020","journal-title":"Nat. Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"112171","DOI":"10.1016\/j.enpol.2021.112171","article-title":"Impacts of urbanization on carbon emissions: An empirical analysis from OECD countries","volume":"151","author":"Wang","year":"2021","journal-title":"Energy Policy"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"118840","DOI":"10.1016\/j.jclepro.2019.118840","article-title":"Influencing factors and spatial patterns of energy-related carbon emissions at the city-scale in Fujian province, Southeastern China","volume":"244","author":"Su","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"105162","DOI":"10.1016\/j.envint.2019.105162","article-title":"Identifying the trade-offs between climate change mitigation and adaptation in urban land use planning: An empirical study in a coastal city","volume":"133","author":"Xu","year":"2019","journal-title":"Environ. Int."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"100947","DOI":"10.1016\/j.uclim.2021.100947","article-title":"Urban form, land use, and cover change and their impact on carbon emissions in the Monterrey Metropolitan area, Mexico","volume":"39","author":"Carpio","year":"2021","journal-title":"Urban Clim."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"27548","DOI":"10.1007\/s11356-021-17858-9","article-title":"Evaluating the nexus between ongoing and increasing urbanization and carbon emission: A study of ARDL-bound testing approach","volume":"29","author":"Ali","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"e10423","DOI":"10.1016\/j.heliyon.2022.e10423","article-title":"Decoupling relationship analysis between urbanization and carbon emissions in 33 African countries","volume":"8","author":"Duan","year":"2022","journal-title":"Heliyon"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1016\/j.renene.2021.12.112","article-title":"How do renewable energy and urbanization cause carbon emissions? Evidence from advanced panel estimation techniques","volume":"185","author":"Sun","year":"2022","journal-title":"Renew. Energy"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Chao, Z., Wang, L., Che, M., and Hou, S. (2020). Effects of Different Urbanization Levels on Land Surface Temperature Change: Taking Tokyo and Shanghai for Example. Remote Sens., 12.","DOI":"10.3390\/rs12122022"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"103880","DOI":"10.1016\/j.scs.2022.103880","article-title":"The impact of energy efficiency on carbon emissions: Evidence from the transportation sector in Chinese 30 provinces","volume":"82","author":"Li","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Li, L., Cai, Y., and Liu, L. (2019). Research on the Effect of Urbanization on China\u2019s Carbon Emission Efficiency. Sustainability, 12.","DOI":"10.3390\/su12010163"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"14317","DOI":"10.1038\/s41598-022-18424-0","article-title":"Spatial heterogeneity of urban\u2013rural integration and its influencing factors in Shandong province of China","volume":"12","author":"Shan","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"108623","DOI":"10.1016\/j.ecolind.2022.108623","article-title":"Spatial-temporal characteristics of carbon emissions from land use change in Yellow River Delta region, China","volume":"136","author":"Zhang","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"8315","DOI":"10.1038\/s41598-022-12274-6","article-title":"Spatial and temporal distribution of population in urban agglomerations changes in China","volume":"12","author":"Lyu","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"101802","DOI":"10.1016\/j.ecoinf.2022.101802","article-title":"Spatial correlation evolution and prediction scenario of land use carbon emissions in China","volume":"71","author":"Rong","year":"2022","journal-title":"Ecol. Inform."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"119659","DOI":"10.1016\/j.jclepro.2019.119659","article-title":"Modeling changes in China\u2019s 2000\u20132030 carbon stock caused by land use change","volume":"252","author":"Feng","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"106875","DOI":"10.1016\/j.catena.2022.106875","article-title":"Vegetation position impacts soil carbon losses on the slope of the Loess Plateau of China","volume":"222","author":"Shi","year":"2023","journal-title":"Catena"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"3389","DOI":"10.3389\/fevo.2022.1019627","article-title":"Seasonal freeze-thaw characteristics of soil carbon pools under different vegetation restoration types on the Longzhong Loess Plateau","volume":"10","author":"Liu","year":"2022","journal-title":"Front. Ecol. Evol."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Zhang, M., Kafy, A., Ren, B., Zhang, Y., Tan, S., and Li, J. (2022). Application of the Optimal Parameter Geographic Detector Model in the Identification of Influencing Factors of Ecological Quality in Guangzhou, China. Land, 11.","DOI":"10.3390\/land11081303"},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Zhang, S., Yang, P., Xia, J., Wang, W., Cai, W., Chen, N., Hu, S., Luo, X., Li, J., and Zhan, C. (2023). Remote sensing inversion and prediction of land use land cover in the middle reaches of the Yangtze River basin, China. Environ. Sci. Pollut. Res.","DOI":"10.1007\/s11356-023-25424-8"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Venkatappa, M., Sasaki, N., Anantsuksomsri, S., and Smith, B. (2020). Applications of the Google Earth Engine and Phenology-Based Threshold Classification Method for Mapping Forest Cover and Carbon Stock Changes in Siem Reap Province, Cambodia. Remote Sens., 12.","DOI":"10.3390\/rs12183110"},{"key":"ref_25","first-page":"154","article-title":"Land Use Patterns on Carbon Emission and Spatial Association in China","volume":"35","author":"Sun","year":"2015","journal-title":"Econ. Geogr."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"114037","DOI":"10.1088\/1748-9326\/ab4b71","article-title":"Projecting global urban land expansion and heat island intensification through 2050","volume":"14","author":"Huang","year":"2019","journal-title":"Environ. Res. Lett."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"102701","DOI":"10.1016\/j.scs.2020.102701","article-title":"Urbanization, land use change, and carbon emissions: Quantitative assessments for city-level carbon emissions in Beijing-Tianjin-Hebei region","volume":"66","author":"Zhou","year":"2021","journal-title":"Sustain. Cities Soc."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"8021","DOI":"10.1038\/s41598-022-12080-0","article-title":"Analysis of carbon emissions from land cover change during 2000 to 2020 in Shandong Province, China","volume":"12","author":"Zhu","year":"2022","journal-title":"Sci. Rep."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"134050","DOI":"10.1016\/j.jclepro.2022.134050","article-title":"Research on peak prediction of urban differentiated carbon emissions-a case study of Shandong Province, China","volume":"374","author":"Tian","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_30","first-page":"100424","article-title":"Decoupling analysis and peak prediction of carbon emission based on decoupling theory","volume":"28","author":"Shi","year":"2020","journal-title":"Sustain. Comput.Inform. Sys."},{"key":"ref_31","first-page":"3389","article-title":"Research on the temporal and spatial characteristics, spatial clustering and governance strategies of carbon emissions in cities of Shandong","volume":"10","author":"Yang","year":"2022","journal-title":"Front. Environ. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"162074","DOI":"10.1016\/j.scitotenv.2023.162074","article-title":"Transportation carbon emission reduction potential and mitigation strategy in China","volume":"873","author":"Bai","year":"2023","journal-title":"Sci. Total Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"120590","DOI":"10.1016\/j.techfore.2021.120590","article-title":"Reduction of carbon emissions through resource-saving and environment-friendly regional economic integration: Evidence from Wuhan metropolitan area, China","volume":"166","author":"Wen","year":"2021","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"19019","DOI":"10.1007\/s11356-021-17053-w","article-title":"Spatial Spillover Effects of Renewable Energy on Carbon Emissions in Less-developed Areas of China","volume":"29","author":"Bai","year":"2022","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"103464","DOI":"10.1016\/j.scs.2021.103464","article-title":"Evaluating urban agglomeration resilience to disaster in the Yangtze Delta city group in China","volume":"76","author":"Lu","year":"2022","journal-title":"Sustain. Cities Soc."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"122000","DOI":"10.1016\/j.jclepro.2020.122000","article-title":"CO2 emission in transportation sector across 51 countries along the Belt and Road from 2000 to 2014","volume":"266","author":"Wang","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1469","DOI":"10.1016\/j.aej.2021.06.054","article-title":"Carbon Emission, air and water pollution in coastal China: Financial and trade effects with application of CRS-SBM-DEA model","volume":"61","author":"Guan","year":"2022","journal-title":"Alex. Eng. J."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Li, Z., Zheng, X., and Sun, D. (2021). The Influencing Effects of Industrial Eco-Efficiency on Carbon Emissions in the Yangtze River Delta. Energies, 14.","DOI":"10.3390\/en14238169"},{"key":"ref_39","first-page":"3389","article-title":"Analysis of the coupling characteristics of land transfer and carbon emissions and its influencing factors: A case study of China","volume":"10","author":"Zhang","year":"2023","journal-title":"Front. Environ. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"112336","DOI":"10.1016\/j.rse.2021.112336","article-title":"Spatiotemporal assessment of land use\/land cover change and associated carbon emissions and uptake in the Mekong River Basin","volume":"256","author":"Tang","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1038\/d41586-019-01563-2","article-title":"How China will protect one-quarter of its land","volume":"569","author":"Gao","year":"2019","journal-title":"Nature"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/j.scitotenv.2018.09.091","article-title":"Chinese cropland losses due to urban expansion in the past four decades","volume":"650","author":"Liu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"973","DOI":"10.1007\/s11069-017-2805-7","article-title":"Study on the spatial and temporal differentiation and influencing factors of carbon emissions in Shandong province","volume":"87","author":"Zhang","year":"2017","journal-title":"Nat. Hazards"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.landusepol.2011.04.003","article-title":"Accelerated restructuring in rural China fueled by \u2018increasing vs. decreasing balance\u2019 land-use policy for dealing with hollowed villages","volume":"29","author":"Long","year":"2012","journal-title":"Land Use Policy"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Zhao, X., Jiang, M., and Zhang, W. (2022). Decoupling between Economic Development and Carbon Emissions and Its Driving Factors: Evidence from China. Int. J. Environ. Res. Public Health, 15.","DOI":"10.3390\/ijerph19052893"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/6\/1488\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T18:50:07Z","timestamp":1760122207000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/6\/1488"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,7]]},"references-count":45,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2023,3]]}},"alternative-id":["rs15061488"],"URL":"https:\/\/doi.org\/10.3390\/rs15061488","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,7]]}}}