{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T00:48:06Z","timestamp":1777337286055,"version":"3.51.4"},"reference-count":47,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T00:00:00Z","timestamp":1636329600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Technological Achievements of Inner Mongolia Autonomous Region of China","award":["2020GG0076"],"award-info":[{"award-number":["2020GG0076"]}]},{"name":"Technological Achievements of Inner Mongolia Autonomous Region of China","award":["2020CG0054"],"award-info":[{"award-number":["2020CG0054"]}]},{"name":"Natural Science Foundation of Inner Mongolia Autonomous Region of China","award":["2019JQ06"],"award-info":[{"award-number":["2019JQ06"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The monitoring and maintenance of the Inner Mongolia section of the Yellow River Basin is of great significance to the safety and development of China\u2019s Yellow River Economic Belt and to the protection of the Yellow River ecology. In this study, we calculated diagnostic values from a total of 520 Landsat OLI\/TM remote sensing images of the Yellow River Basin of Inner Mongolia from 2001 to 2020. Using the RSEI and the GEE Cloud Computing Jigsaw, we analyzed the spatial and temporal distribution of diagnostic values representative of the basin\u2019s ecological status. Further, Mantel and Pearson correlations were used to analyze the significance of environmental factors in affecting the ecological quality of cities along the Yellow River within the study area. The results indicated that the overall mean of RSEI values rose at first and then fell. The RSEI grade to land area ratio was calculated to be highest in 2015 (excellent) and worst in 2001. From 2001 to 2020, ecological quality monitoring process of main cities in the Inner Mongolia region of the Yellow River Basin. Hohhot, Baotou, and Linhe all have an RSEI score greater than 0.5, considered average. However, Dongsheng had its best score (0.60, good) in 2005, which then declined and increased to an average rating in 2020. The RSEI value for Wuhai reached excellent in 2010 but then became poor in 2020, dropping to 0.28. The analysis of ecological quality in the city shows that the greenness index (NDVI) carried the most significant impact on the ecological environment, followed by the humidity index (Wet), the dryness index (NDBSI), the temperature index (Lst), land use, and then regional gross product (RGP). The significance of this study is to provide a real-time, accurate, and rapid understanding of trends in the spatial and temporal distribution of ecological and environmental quality along the Yellow River, thereby providing a theoretical basis and technical support for ecological and environmental protection and high-quality development of the Yellow River Basin.<\/jats:p>","DOI":"10.3390\/rs13214477","type":"journal-article","created":{"date-parts":[[2021,11,8]],"date-time":"2021-11-08T22:08:41Z","timestamp":1636409321000},"page":"4477","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":56,"title":["Landsat TM\/OLI-Based Ecological and Environmental Quality Survey of Yellow River Basin, Inner Mongolia Section"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5478-1063","authenticated-orcid":false,"given":"Wenlong","family":"Gao","sequence":"first","affiliation":[{"name":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9153-4398","authenticated-orcid":false,"given":"Shengwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"},{"name":"Inner Mongolia Autonomous Region Key Laboratory of Big Data Research and Application of Agriculture and Animal Husbandry, Hohhot 010018, China"},{"name":"Key Laboratory of Water Resources Protection and Utilization of Inner Mongolia Autonomous Region, Hohhot 010018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyu","family":"Rao","sequence":"additional","affiliation":[{"name":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xi","family":"Lin","sequence":"additional","affiliation":[{"name":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruishen","family":"Li","sequence":"additional","affiliation":[{"name":"College of Water Conservancy and Civil Engineering, Inner Mongolia Agricultural University, Hohhot 010018, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Zhu, Y., Luo, P., Su, F., Zhang, S., and Sun, B. 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