{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T18:37:50Z","timestamp":1772217470998,"version":"3.50.1"},"reference-count":46,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T00:00:00Z","timestamp":1709856000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Shandong Province Natural Science Foundation youth project in China","award":["ZR2023QD161"],"award-info":[{"award-number":["ZR2023QD161"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Qinghai\u2013Tibet Railway is located in the most fragile and sensitive terrestrial ecosystem of the Qinghai\u2013Tibet Plateau in China, and once the ecological environment is damaged, it is difficult to restore. This study, based on the Google Earth Engine platform, focuses on the section of the Qinghai\u2013Tibet Railway from Xining to Jianghe. It utilizes Landsat series satellite imagery data from 1986 to 2020 to calculate the Remote Sensing Ecological Index (RSEI). This approach enables large-scale and long-term dynamic monitoring, analysis, and assessment of the ecological changes along the Qinghai\u2013Tibet Railway corridor. The results indicate that (1) the average RSEI of the study area increased from 0.37 in 1986 to 0.53 in 2020, showing an overall trend of improvement. The ecological environment quality is mainly categorized as medium and good. (2) The quality of the ecological environment in the areas along the railway experienced fluctuations during different periods of railway construction and operation. From 1986 to 1994, after the first phase of the railway opened, the overall ecological environment showed a relative decline in quality. From 1994 to 2002, the ecological quality of 60% of the region saw slight improvements. During the extension construction of the second phase of the railway from 2002 to 2007, the regional ecology fluctuated again. However, from 2013 to 2020, during the operational period, a stable recovery trend was observed in the ecological environment. (3) The ecological environment in the study area is influenced by multiple factors. Different railway station areas exhibit strong spatial heterogeneity. The impact of single factors is significant, with the existence of spatial stratification and enhanced interactions among multiple factors. The strongest interactive effects are observed between land use types, the intensity of human activities, and temperature.<\/jats:p>","DOI":"10.3390\/rs16060951","type":"journal-article","created":{"date-parts":[[2024,3,8]],"date-time":"2024-03-08T10:10:52Z","timestamp":1709892652000},"page":"951","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Spatiotemporal Changes and Driving Analysis of Ecological Environmental Quality along the Qinghai\u2013Tibet Railway Using Google Earth Engine\u2014A Case Study Covering Xining to Jianghe Stations"],"prefix":"10.3390","volume":"16","author":[{"given":"Fengli","family":"Zou","sequence":"first","affiliation":[{"name":"School of Geography and Tourism, Qufu Normal University, Rizhao 276800, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0866-6678","authenticated-orcid":false,"given":"Qingwu","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Yichuan","family":"Liu","sequence":"additional","affiliation":[{"name":"Henan Provincial Meteorological Disaster Defense Technology Center, Zhengzhou 450003, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6634-9593","authenticated-orcid":false,"given":"Haidong","family":"Li","sequence":"additional","affiliation":[{"name":"Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China"}]},{"given":"Xujie","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China"}]},{"given":"Yuqi","family":"Liu","sequence":"additional","affiliation":[{"name":"Map Institute of Guangdong Province, Guangzhou 510075, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,3,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"113892","DOI":"10.1016\/j.geoderma.2019.113892","article-title":"Vegetation influence on the soil hydrological regime in permafrost regions of the Qinghai-Tibet Plateau, China","volume":"354","author":"Niu","year":"2019","journal-title":"Geoderma"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"5222","DOI":"10.1080\/01431161.2015.1041179","article-title":"Effect of the Qinghai\u2013Tibet Railway on vegetation abundance","volume":"36","author":"Wang","year":"2015","journal-title":"Int. J. Remote Sens."},{"key":"ref_3","first-page":"105","article-title":"Effects of the construction of Qinghai-Tibet railway on the vegetation ecosystem and eco-resilience","volume":"11","author":"Li","year":"2017","journal-title":"Geogr. Res."},{"key":"ref_4","unstructured":"Tibet Autonomous Region Railway Construction and Operation Leading Group Office Tibet Autonomous Region Development and Reform Commission (2016). Qinghai\u2014Tibet railway operation ten years to boost Tibet\u2019s economic and social development report. China Railw., 5, 5."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/j.enggeo.2010.04.014","article-title":"Numerical modelling for crushed rock layer thickness of highway embankments in permafrost regions of the Qinghai\u2013Tibet Plateau","volume":"114","author":"Sun","year":"2010","journal-title":"Eng. Geol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"256","DOI":"10.1016\/j.applthermaleng.2018.04.138","article-title":"Field experimental study on long-term cooling and deformation characteristics of crushed-rock revetment embankment at the Qinghai\u2013Tibet Railway","volume":"139","author":"Luo","year":"2018","journal-title":"Appl. Therm. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"974","DOI":"10.1016\/j.soildyn.2008.11.009","article-title":"Characteristics of ground motion at permafrost sites along the Qinghai-Tibet railway","volume":"29","author":"Wang","year":"2009","journal-title":"Soil. Dyn. Earthq. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.scitotenv.2012.09.027","article-title":"The effects of the Qinghai\u2013Tibet railway on heavy metals enrichment in soils","volume":"439","author":"Zhang","year":"2012","journal-title":"Sci. Total. Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"628","DOI":"10.1016\/j.scitotenv.2016.01.136","article-title":"Inorganic pollution around the Qinghai-Tibet Plateau: An overview of the current observations","volume":"550","author":"Wu","year":"2016","journal-title":"Sci. Total. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.coldregions.2011.01.001","article-title":"The thermal effect of differential solar exposure on embankments along the Qinghai\u2013Tibet Railway","volume":"66","author":"Wu","year":"2011","journal-title":"Cold Reg. Sci. Technol."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.clay.2019.05.002","article-title":"Experimental and statistical studies on the thermal properties of frozen clay in Qinghai-Tibet Plateau","volume":"177","author":"Li","year":"2019","journal-title":"Appl. Clay Sci."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1190","DOI":"10.1016\/j.scitotenv.2019.03.090","article-title":"Hydro-thermal boundary conditions at different underlying surfaces in a permafrost region of the Qinghai-Tibet Plateau","volume":"670","author":"Zhang","year":"2019","journal-title":"Sci. Total. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.scitotenv.2019.06.196","article-title":"Spatial variations and controlling factors of ground ice isotopes in permafrost areas of the central Qinghai-Tibet Plateau","volume":"688","author":"Wang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.gloplacha.2010.03.001","article-title":"Permafrost temperatures and thickness on the Qinghai-Tibet Plateau","volume":"72","author":"Wu","year":"2010","journal-title":"Glob. Planet. Chang."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"532","DOI":"10.1016\/j.rse.2012.04.020","article-title":"Interaction between permafrost and infrastructure along the Qinghai\u2013Tibet Railway detected via jointly analysis of C-and L-band small baseline SAR interferometry","volume":"123","author":"Chen","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.sedgeo.2012.07.003","article-title":"Wind energy environments and aeolian sand characteristics along the Qinghai\u2013Tibet Railway, China","volume":"273\u2013274","author":"Zhang","year":"2012","journal-title":"Sediment. Geol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s10113-020-01616-7","article-title":"Increased human pressures on the alpine ecosystem along the Qinghai-Tibet Railway","volume":"20","author":"Luo","year":"2020","journal-title":"Reg. Environ. Chang."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1016\/j.tourman.2008.02.024","article-title":"The Qinghai\u2013Tibet railway and Tibetan tourism: Travelers\u2019 perspectives","volume":"30","author":"Su","year":"2009","journal-title":"Tour. Manag."},{"key":"ref_19","unstructured":"Zhao, X. (2015). Analysis of Vegetation Coverage Changes on Alpine Grassland along the Qinghai-Tibet Railway based on Remote Sensing Images\u2014A Case Study of Wudaoliang Area. [Ph.D. Thesis, China University of Geosciences]."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Zhang, L., Miao, Y., Wei, H., and Dai, T. (2023). Ecological Impacts Associated with the Qinghai\u2013Tibet Railway and Its Influencing Factors: A Comparison Study on Diversified Research Units. Int. J. Environ. Res. Public. Health, 20.","DOI":"10.3390\/ijerph20054154"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"103332","DOI":"10.1016\/j.jtrangeo.2022.103332","article-title":"Spatiotemporal impact of railway network in the Qinghai-Tibet Plateau on accessibility and economic linkages during 1984\u20132030","volume":"100","author":"Gao","year":"2022","journal-title":"J. Transp. Geogr."},{"key":"ref_22","first-page":"559","article-title":"Features of ecosystems alongside Qinghai-Xizang highway and railway and the impacts of road construction on them","volume":"21","author":"Chen","year":"2003","journal-title":"J. Mt. Sci."},{"key":"ref_23","first-page":"128","article-title":"Vegetation change along the Qinghai-Xizang highway and railway from 1981 to 2001","volume":"27","author":"Ding","year":"2005","journal-title":"Resour. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"387","DOI":"10.1007\/s11442-006-0401-y","article-title":"Land cover change along the Qinghai-Tibet Highway and Railway from 1981 to 2001","volume":"16","author":"Ding","year":"2006","journal-title":"J. Geogr. Sci."},{"key":"ref_25","first-page":"50","article-title":"Negative impact of Qinghai-Tibetan railway construction on ecological environment of Qinghai-Tibetan Plateau","volume":"22","author":"Yuqing","year":"2002","journal-title":"Bull. Soil. Water Conserv."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.ecolind.2018.04.067","article-title":"The impacts of climate change and human activities on alpine vegetation and permafrost in the Qinghai-Tibet Engineering Corridor","volume":"93","author":"Luo","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1080\/2150704X.2018.1484958","article-title":"Validation of Global LAnd Surface Satellite (GLASS) fractional vegetation cover product from MODIS data in an agricultural region","volume":"9","author":"Jia","year":"2018","journal-title":"Remote Sens. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11676-020-01155-1","article-title":"A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing","volume":"32","author":"Huang","year":"2021","journal-title":"J. For. Res."},{"key":"ref_29","first-page":"1883","article-title":"Eco-environmental quality assessment and cause analysis of Qilian Mountain National Park based on GEE","volume":"40","author":"Zhang","year":"2021","journal-title":"Chin. J. Ecol."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1016\/j.landurbplan.2012.01.003","article-title":"Urban Neighborhood Green Index\u2014A measure of green spaces in urban areas","volume":"105","author":"Gupta","year":"2012","journal-title":"Landsc. Urban Plan."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"113266","DOI":"10.1016\/j.rse.2022.113266","article-title":"Remote sensing of land change: A multifaceted perspective","volume":"282","author":"Zhu","year":"2022","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1016\/j.foreco.2010.05.018","article-title":"A multi-criterion index for the evaluation of local tropical forest conditions in Mexico","volume":"260","author":"Kampichler","year":"2010","journal-title":"For. Ecol. Manag."},{"key":"ref_33","first-page":"7853","article-title":"Establishment and application of urban remote sensing ecological index","volume":"33","author":"Xu","year":"2013","journal-title":"Acta Ecol. Sin."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.ecolind.2018.05.055","article-title":"Prediction of ecological effects of potential population and impervious surface increases using a remote sensing based ecological index (RSEI)","volume":"93","author":"Xu","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1016\/j.rse.2006.09.003","article-title":"Comparison of impervious surface area and normalized difference vegetation index as indicators of surface urban heat island effects in Landsat imagery","volume":"106","author":"Yuan","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"613","DOI":"10.14358\/PERS.71.5.613","article-title":"Remote Sensing of Urban Heat Islands by Day and Night","volume":"71","author":"Nichol","year":"2005","journal-title":"Photogramm. Eng. Remote Sens."},{"key":"ref_37","first-page":"717","article-title":"Analyzing the ecological environment and urbanization characteristics of the Yangtze River Delta Urban Agglomeration based on Google Earth Engine","volume":"41","author":"Zheng","year":"2021","journal-title":"Acta Ecol. Sin."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.ecolind.2018.02.006","article-title":"A new remote sensing index for assessing the spatial heterogeneity in urban ecological quality: A case from Fuzhou City, China","volume":"89","author":"Hu","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_39","first-page":"593","article-title":"Vegetation Cover Change and Urban Expansion in Beijing-Tianjin-Hebei during 2001~2015 based on Google Earth Engine","volume":"33","author":"Tao","year":"2018","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Mateo-Garc\u00eda, G., G\u00f3mez-Chova, L., Amor\u00f3s-L\u00f3pez, J., Mu\u00f1oz-Mar\u00ed, J., and Camps-Valls, G. (2018). Multitemporal Cloud Masking in the Google Earth Engine. Remote Sens., 10.","DOI":"10.3390\/rs10071079"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Tsai, Y.H., Stow, D., Chen, H.L., Lewison, R., An, L., and Shi, L. (2018). Mapping Vegetation and Land Use Types in Fanjingshan National Nature Reserve Using Google Earth Engine. Remote Sens., 10.","DOI":"10.3390\/rs10060927"},{"key":"ref_42","first-page":"175","article-title":"Geospatial analysis of land use change in the Savannah River Basin using Google Earth Engine","volume":"69","author":"Zurqani","year":"2018","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.rse.2018.02.055","article-title":"High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform","volume":"209","author":"Liu","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_44","first-page":"1205","article-title":"Assessment of regional soil moisture status based on characteristics of surface temperature\/vegetation index space","volume":"29","author":"Yang","year":"2009","journal-title":"Acta Ecol. Sin."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1080\/15481603.2020.1760434","article-title":"An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data","volume":"57","author":"Song","year":"2020","journal-title":"GISci. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1016\/j.ecolind.2016.02.052","article-title":"A measure of spatial stratified heterogeneity","volume":"67","author":"Wang","year":"2016","journal-title":"Ecol. Indic."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/6\/951\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:11:01Z","timestamp":1760105461000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/6\/951"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,8]]},"references-count":46,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,3]]}},"alternative-id":["rs16060951"],"URL":"https:\/\/doi.org\/10.3390\/rs16060951","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,8]]}}}