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It is of great significance for the development of YRBU to understand the interactive coupling relationship between the eco-environment and urbanization development from the multi-scale perspective. This research intended to understand the spatio-temporal characteristics of eco-environmental quality, urbanization, and coupling coordination degree in the study area from 2013 to 2021. We proposed an Adjusted Remote Sensing Ecological Index (A-RSEI), integrated Sentinel-2A, Landsat 8, and other remote sensing data to evaluate the eco-environmental quality of the study area, from 2013 to 2021. Coupled coordination degree (CCD) model was used to obtain the CCD between eco-environmental quality and urbanization. In addition, spatio-temporal and multi-scale analysis was carried out from the perspectives of urban agglomeration, municipal, county, and pixel scales. Combined with spatial autocorrelation analysis and Tapio decoupling model, the CCD was further explored. The results show that the proposed A-RSEI model is more suitable for monitoring the eco-environmental quality of the Yellow River Basin. The coupling coordination degree of eco-environment and urbanization in most regions of the study area are rising in a relatively green development trend. The multi-scale analysis among eco-environmental quality, urbanization, and CCD can not only indicate the impact of the central city on its surrounding areas but also help to describe the details of CCD combined with the terrain. The comprehensive discrimination of urban agglomeration and county scale is helpful to express the relationship between urbanization and eco-environmental quality centered on a certain city. The results can provide scientific support for eco-environment protection and high-quality development of the Yellow River Basin.<\/jats:p>","DOI":"10.3390\/rs15030743","type":"journal-article","created":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T10:19:28Z","timestamp":1675073968000},"page":"743","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Exploring the Relationship between the Eco-Environmental Quality and Urbanization by Utilizing Sentinel and Landsat Data: A Case Study of the Yellow River Basin"],"prefix":"10.3390","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8049-2177","authenticated-orcid":false,"given":"Xiaolei","family":"Wang","sequence":"first","affiliation":[{"name":"The School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450052, China"},{"name":"Joint Laboratory of Eco-Meteorology, Zhengzhou University, Chinese Academy of Meteorological Sciences, Zhengzhou University, Zhengzhou 450052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shiru","family":"Zhang","sequence":"additional","affiliation":[{"name":"The School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xue","family":"Zhao","sequence":"additional","affiliation":[{"name":"The School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4637-2745","authenticated-orcid":false,"given":"Shouhai","family":"Shi","sequence":"additional","affiliation":[{"name":"The School of Geoscience and Technology, Zhengzhou University, Zhengzhou 450052, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Xu","sequence":"additional","affiliation":[{"name":"National Engineering Research Center for Geographic Information System, School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,1,27]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"108346","DOI":"10.1016\/j.ecolind.2021.108346","article-title":"Evaluation on the relevance of regional urbanization and ecological security in the nine provinces along the Yellow River, China","volume":"132","author":"Qiu","year":"2021","journal-title":"Ecol. 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