{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T02:13:22Z","timestamp":1774836802937,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T00:00:00Z","timestamp":1681862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Discipline Innovation Team of Liaoning Technical University","award":["LNTU20TD-06"],"award-info":[{"award-number":["LNTU20TD-06"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Reasonable allocation of urban resources can effectively control changes in ecological quality. This study used Sentinel-2 images, taking urban functional areas as the dividing scale, and combined spatial analysis, statistics, and other relevant methods to explore the factors influencing remote sensing ecological quality in Puxi, Shanghai, China. Landsat-8 and high-resolution Sentinel-2 data fusion achieved more refined remote sensing ecological index (RSEI) distribution data, which is of great significance for ecological quality exploration in small areas; the degree of influence of the selected research factors on the RSEI was spectral index &gt; building &gt; social perception &gt; terrain. The R-value of the soil-adjusted vegetation index (SAVI) was 0.970, and it exerted the strongest influence. The R-value of the average building height was 0.103, indicating that it had the weakest influence. The interactions among the selected factors were mainly two-factor and nonlinear enhancements. Most factor combinations exhibited two-factor enhancement. There were six groups of factor combinations for nonlinear enhancement, of which five were related to the average building height. The results of the present study provide a reference for multi-path ecological quality control in small-area regions.<\/jats:p>","DOI":"10.3390\/rs15082156","type":"journal-article","created":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T01:42:39Z","timestamp":1681954959000},"page":"2156","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Study on Factors Affecting Remote Sensing Ecological Quality Combined with Sentinel-2"],"prefix":"10.3390","volume":"15","author":[{"given":"Qiang","family":"Fan","sequence":"first","affiliation":[{"name":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China"}]},{"given":"Yue","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China"}]},{"given":"Xiaonan","family":"Song","sequence":"additional","affiliation":[{"name":"School of Geomatics, Liaoning Technical University, Fuxin 123000, China"}]},{"given":"Nan","family":"Cong","sequence":"additional","affiliation":[{"name":"Lhasa Plateau Ecosystem Research Station, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"936","DOI":"10.1126\/science.aaf3630","article-title":"The ecological future of cities","volume":"352","author":"McDonnell","year":"2016","journal-title":"Science"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1016\/j.eiar.2004.10.001","article-title":"Sustainability indices as a tool for urban managers, evidence from four medium-sized Chinese cities","volume":"25","author":"Mingshun","year":"2005","journal-title":"Environ. Impact Asses."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/j.ecolind.2016.03.009","article-title":"Regulating ecosystem services of forests in ten Italian metropolitan cities: Air quality improvement by PM10 and O3 removal","volume":"67","author":"Manes","year":"2016","journal-title":"Ecol. Indic."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Zhao, Z., Sharifi, A., Dong, X., Shen, L., and He, B. (2021). Spatial variability and temporal heterogeneity of surface urban heat island patterns and the suitability of local climate zones for land surface temperature characterization. Remote Sens., 13.","DOI":"10.3390\/rs13214338"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"104374","DOI":"10.1016\/j.scs.2022.104374","article-title":"Relationship between urban spatial form and seasonal land surface temperature under different grid scales","volume":"89","author":"Chen","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.biocon.2016.05.015","article-title":"Citizen science can improve conservation science, natural resource management, and environmental protection","volume":"208","author":"McKinley","year":"2017","journal-title":"Biol. Conserv."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"137265","DOI":"10.1016\/j.scitotenv.2020.137265","article-title":"Improvement of regional environmental quality: Government environmental governance and public participation","volume":"717","author":"Lihua","year":"2020","journal-title":"Sci. Total. Environ."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"104569","DOI":"10.1016\/j.landusepol.2020.104569","article-title":"Monitoring the effects of land consolidation on the ecological environmental quality based on remote sensing: A case study of Chaohu Lake Basin, China","volume":"95","author":"Guo","year":"2020","journal-title":"Land Use Policy"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/S0169-2046(02)00232-3","article-title":"Urban environmental quality and human well-being: Towards a conceptual framework and demarcation of concepts; a literature study","volume":"65","author":"Leidelmeijer","year":"2003","journal-title":"Landsc. Urban. Plan."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.ecolind.2011.05.008","article-title":"Quantification of environmental impact and ecological sustainability for textile fibres","volume":"13","author":"Muthu","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"106654","DOI":"10.1016\/j.ecolind.2020.106654","article-title":"Impacts of urbanization and landscape pattern on habitat quality using OLS and GWR models in Hangzhou, China","volume":"117","author":"Zhu","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_12","first-page":"889","article-title":"A remote sensing index for assessment of regional ecological changes","volume":"33","author":"Xu","year":"2013","journal-title":"China Environ. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"109436","DOI":"10.1016\/j.ecolind.2022.109436","article-title":"Spatio-temporal evolution and driving factors of eco-environmental quality based on RSEI in Chang-Zhu-Tan metropolitan circle, central China","volume":"144","author":"Zhang","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"126995","DOI":"10.1016\/j.jclepro.2021.126995","article-title":"Spatiotemporal change detection of ecological quality and the associated affecting factors in Dongting Lake Basin, based on RSEI","volume":"302","author":"Yuan","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Geng, J., Yu, K., Xie, Z., Zhao, G., Ai, J., Yang, L., Yang, H., and Liu, J. (2022). Analysis of spatiotemporal variation and drivers of ecological quality in Fuzhou based on RSEI. Remote Sens., 14.","DOI":"10.3390\/rs14194900"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"109090","DOI":"10.1016\/j.ecolind.2022.109090","article-title":"Spatiotemporal change of ecologic environment quality and human interaction factors in three gorges ecologic economic corridor, based on RSEI","volume":"141","author":"An","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Xu, H., Wang, Y., Guan, H., Shi, T., and Hu, X. (2019). Detecting ecological changes with a remote sensing based ecological index (RSEI) produced time series and change vector analysis. Remote Sens., 11.","DOI":"10.3390\/rs11202345"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"109000","DOI":"10.1016\/j.buildenv.2022.109000","article-title":"Contribution of urban functional zones to the spatial distribution of urban thermal environment","volume":"216","author":"Chen","year":"2022","journal-title":"Build. Environ."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1007\/s11442-018-1497-6","article-title":"Rainfall-runoff risk characteristics of urban function zones in Beijing using the SCS-CN model","volume":"28","author":"Yao","year":"2018","journal-title":"J. Geogr. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"108804","DOI":"10.1016\/j.buildenv.2022.108804","article-title":"Estimating carbon emissions in urban functional zones using multi-source data: A case study in Beijing","volume":"212","author":"Zheng","year":"2022","journal-title":"Build. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"112243","DOI":"10.1016\/j.enpol.2021.112243","article-title":"Embodied energy use of China\u2019s megacities: A comparative study of Beijing and Shanghai","volume":"155","author":"Guo","year":"2021","journal-title":"Energy Policy"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"132865","DOI":"10.1016\/j.jclepro.2022.132865","article-title":"Effect of financial development and technological innovation on green growth\u2014Analysis based on spatial Durbin model","volume":"365","author":"Cao","year":"2022","journal-title":"J. Clean. Prod."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1016\/j.scib.2019.12.007","article-title":"Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018","volume":"65","author":"Gong","year":"2020","journal-title":"Sci. Bull."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"101699","DOI":"10.1016\/j.ecoinf.2022.101699","article-title":"An ecological assessment process based on integrated remote sensing model: A case from Kaikukang-Walagan District, Greater Khingan Range, China","volume":"70","author":"Chen","year":"2022","journal-title":"Ecol. Inform."},{"key":"ref_25","first-page":"687","article-title":"Orthogonal transformation of segmented images from the satellite Sentinel-2","volume":"70","author":"Nedkov","year":"2017","journal-title":"Cr. Acad. Bulg. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"10451","DOI":"10.1038\/s41598-020-67423-6","article-title":"Correlation analysis of land surface temperature and topographic elements in Hangzhou, China","volume":"10","author":"Peng","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"108985","DOI":"10.1016\/j.buildenv.2022.108985","article-title":"Influence of underlying surface change caused by urban renewal on land surface temperatures in Central Guangzhou","volume":"215","author":"Wu","year":"2022","journal-title":"Build. Environ."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhou, S., Liu, D., Zhu, M., Tang, W., Chi, Q., Ye, S., Xu, S., and Cui, Y. (2022). Temporal and Spatial Variation of Land Surface Temperature and Its Driving Factors in Zhengzhou City in China from 2005 to 2020. Remote Sens., 14.","DOI":"10.3390\/rs14174281"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"101330","DOI":"10.1016\/j.uclim.2022.101330","article-title":"Response characteristics and influencing factors of carbon emissions and land surface temperature in Guangdong Province, China","volume":"46","author":"Song","year":"2022","journal-title":"Urban. Clim."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Liu, W., Meng, Q., Allam, M., Zhang, L., Hu, D., and Menenti, M. (2021). Driving factors of land surface temperature in urban agglomerations: A case study in the pearl river delta, china. Remote Sens., 13.","DOI":"10.3390\/rs13152858"},{"key":"ref_31","first-page":"116","article-title":"Geodetector: Principle and prospective","volume":"72","author":"Wang","year":"2017","journal-title":"Acta Geographica Sinica"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.envsoft.2012.01.015","article-title":"Environmental health risk detection with GeogDetector","volume":"33","author":"Wang","year":"2012","journal-title":"Environ. Modell. Softw."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"127467","DOI":"10.1016\/j.jclepro.2021.127467","article-title":"Suitability of human settlements in mountainous areas from the perspective of ventilation: A case study of the main urban area of Chongqing","volume":"310","author":"Luo","year":"2021","journal-title":"J. Clean. Prod."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.enbuild.2017.09.046","article-title":"Profile and concentric zonal analysis of relationships between land use\/land cover and land surface temperature: Case study of Shenyang, China","volume":"155","author":"Zhao","year":"2017","journal-title":"Energy Build."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"105820","DOI":"10.1016\/j.isci.2022.105820","article-title":"Regional thermal environment changes: Integration of satellite data and land use\/land cover","volume":"26","author":"Ren","year":"2023","journal-title":"iScience"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1038\/s42949-022-00055-z","article-title":"Contributions of sea\u2013land breeze and local climate zones to daytime and nighttime heat island intensity","volume":"2","author":"Yang","year":"2022","journal-title":"NPJ Urban Sustain."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"148791","DOI":"10.1016\/j.scitotenv.2021.148791","article-title":"Contribution of urban ventilation to the thermal environment and urban energy demand: Different climate background perspectives","volume":"795","author":"Yang","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Cui, R., Han, J., and Hu, Z. (2022). Assessment of Spatial Temporal Changes of Ecological Environment Quality: A Case Study in Huaibei City, China. Land, 11.","DOI":"10.3390\/land11060944"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"125534","DOI":"10.1109\/ACCESS.2020.3007786","article-title":"Spatiotemporal change and landscape pattern variation of eco-environmental quality in Jing-Jin-Ji urban agglomeration from 2001 to 2015","volume":"8","author":"Ji","year":"2020","journal-title":"IEEE Access."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Zhang, J., Yang, G., Yang, L., Li, Z., Gao, M., Yu, C., Gong, E., Long, H., and Hu, H. (2022). Dynamic Monitoring of Environmental Quality in the Loess Plateau from 2000 to 2020 Using the Google Earth Engine Platform and the Remote Sensing Ecological Index. Remote Sens., 14.","DOI":"10.3390\/rs14205094"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/s11442-021-1846-8","article-title":"Analysis of ecological quality in Lhasa Metropolitan Area during 1990\u20132017 based on remote sensing and Google Earth Engine platform","volume":"31","author":"Huang","year":"2021","journal-title":"J. Geog. Sci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"109896","DOI":"10.1016\/j.ecolind.2023.109896","article-title":"Evaluation of ecological space and ecological quality changes in urban agglomeration on the northern slope of the Tianshan Mountains","volume":"146","author":"Aizizi","year":"2023","journal-title":"Ecol. Indic."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/8\/2156\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T19:19:01Z","timestamp":1760123941000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/8\/2156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,19]]},"references-count":42,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2023,4]]}},"alternative-id":["rs15082156"],"URL":"https:\/\/doi.org\/10.3390\/rs15082156","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,4,19]]}}}