{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T18:43:06Z","timestamp":1772822586493,"version":"3.50.1"},"reference-count":87,"publisher":"MDPI AG","issue":"20","license":[{"start":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T00:00:00Z","timestamp":1696982400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the National Key Research and Development Program of China","award":["2022YFC3800700"],"award-info":[{"award-number":["2022YFC3800700"]}]},{"name":"the National Key Research and Development Program of China","award":["grant number 2022122"],"award-info":[{"award-number":["grant number 2022122"]}]},{"name":"the Youth Innovation Promotion Association, CAS","award":["2022YFC3800700"],"award-info":[{"award-number":["2022YFC3800700"]}]},{"name":"the Youth Innovation Promotion Association, CAS","award":["grant number 2022122"],"award-info":[{"award-number":["grant number 2022122"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The Han River Basin, a critical water conservation and ecological barrier in Hubei Province, is intricately associated with the United Nations Sustainable Development Goals (SDGs). Research results show that vegetation cover changes are affected by multiple factors, and understanding the influences of climate change and human activities on vegetation is imperative for achieving sustainable development in the basin. Through quantitative assessment of vegetation changes in diverse landform regions, implementing adaptive ecological construction and environmental protection will foster the sustainable development of ecological civilization in the Han River Basin. This study utilizes MODIS13Q1 data and employs diverse analytical methods to investigate the characteristics of vegetation change and the interrelationships between climate change, meteorological factors, and vegetation cover in various geomorphological areas of the Han River Basin from 2000 to 2020. The results showed that (1) throughout the entire study period, the NDVI of the six types of geomorphological divisions in the Han River Basin exhibited a fluctuating upward trend, with the changes in the low-altitude hilly geomorphic regions being particularly noteworthy. (2) Within the study area, approximately 92.67% of vegetation coverage displayed an increasing trend, while 7.33% showed degradation, predominantly in plains and platforms. Notably, the area of continuous improvement (31.16%) outweighed the area of continuous degradation (3.05%), with low and middle-relief mountain areas demonstrating the most robust growth and sustainability. (3) Human agriculture activities and urbanization processes have emerged as the primary driving force behind vegetation changes in the Han River Basin. The responses of vegetation to climate change and human activities exhibited significant variations across diverse geomorphological regions. In areas characterized by vegetation improvement, the contribution rate of human activities to NDVI changes in different vegetation types surpassed 70%, with plain areas displaying the highest contribution rate at a remarkable 90%. In contrast, the plain and platform regions of the vegetation degradation area were significantly influenced by climate change. In future watershed ecological environment management, it is essential to not only recognize the dominant role of human activities in promoting the growth of mountain vegetation NDVI but also address the impact of climate change on the degradation of vegetation NDVI in plains and platforms. A comprehensive understanding of these factors is crucial for devising effective strategies to ensure sustainable development and ecological balance in the Han River Basin.<\/jats:p>","DOI":"10.3390\/rs15204916","type":"journal-article","created":{"date-parts":[[2023,10,11]],"date-time":"2023-10-11T08:18:57Z","timestamp":1697012337000},"page":"4916","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Analysis of Vegetation Cover Change in the Geomorphic Zoning of the Han River Basin Based on Sustainable Development"],"prefix":"10.3390","volume":"15","author":[{"given":"Yuqing","family":"Xiong","sequence":"first","affiliation":[{"name":"School of Land Science and Technology, China University of Geosciences, Beijing 100083, China"},{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Zizheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Resources and Environment, Hubei University, Wuhan 430062, China"}]},{"given":"Meichen","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Land Science and Technology, China University of Geosciences, Beijing 100083, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2929-4255","authenticated-orcid":false,"given":"Li","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"}]},{"given":"Sijia","family":"Li","sequence":"additional","affiliation":[{"name":"School of Land Science and Technology, China University of Geosciences, Beijing 100083, China"}]},{"given":"Cankun","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Land Science and Technology, China University of Geosciences, Beijing 100083, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7163-3644","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China"},{"name":"International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1504\/IJHST.2020.108264","article-title":"Corrosion and deposition in Karoon River, Iran, based on hydrometric stations","volume":"10","author":"Derakhshannia","year":"2020","journal-title":"Int. J. Hydrol. Sci. Technol."},{"key":"ref_2","first-page":"849","article-title":"Spatiotemporal change of fractional vegetation cover in the Yellow River Basin during 2000\u20132019","volume":"43","author":"Zhang","year":"2021","journal-title":"Resour. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1118","DOI":"10.1080\/01431161.2019.1657603","article-title":"Spatial-temporal changes in vegetation coverage in the global coastal zone based on GIMMS NDVI3g data","volume":"41","author":"Hou","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Chen, T., Xia, J., Zou, L., and Hong, S. (2020). Quantifying the Influences of Natural Factors and Human Activities on NDVI Changes in the Hanjiang River Basin, China. Remote Sens., 12.","DOI":"10.3390\/rs12223780"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"109101","DOI":"10.1016\/j.ecolind.2022.109101","article-title":"Vegetation variations and its driving factors in the transition zone between Tibetan Plateau and arid region","volume":"141","author":"Li","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"109342","DOI":"10.1016\/j.ecolind.2022.109342","article-title":"The contributions of natural and anthropogenic factors to NDVI variations on the Loess Plateau in China during 2000\u20132020","volume":"143","author":"Zhang","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Liu, C., Liu, J., Zhang, Q., Ci, H., Gu, X., and Gulakhmadov, A. (2022). Attribution of NDVI Dynamics over the Globe from 1982 to 2015. Remote Sens., 14.","DOI":"10.3390\/rs14112706"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"108700","DOI":"10.1016\/j.ecolind.2022.108700","article-title":"Vegetation dynamics in response to climate change and human activities in the Hulun Lake basin from 1981 to 2019","volume":"136","author":"Gu","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"134103","DOI":"10.1016\/j.scitotenv.2019.134103","article-title":"Slower vegetation greening faced faster social development on the landscape of the Belt and Road region","volume":"697","author":"Liu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"160527","DOI":"10.1016\/j.scitotenv.2022.160527","article-title":"Effects of climate change and human activities on vegetation coverage change in northern China considering extreme climate and time-lag and -accumulation effects","volume":"860","author":"Ma","year":"2023","journal-title":"Sci. Total Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1038\/nature16986","article-title":"Sensitivity of global terrestrial ecosystems to climate variability","volume":"531","author":"Seddon","year":"2016","journal-title":"Nature"},{"key":"ref_12","first-page":"190","article-title":"Vegetation Cover Change in Dongting Lake Basin and Its Coordination Governance","volume":"42","author":"Sun","year":"2022","journal-title":"Econ. Geogr."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Honeck, E., Castello, R., Chatenoux, B., Richard, J.-P., Lehmann, A., and Giuliani, G. (2018). From a Vegetation Index to a Sustainable Development Goal Indicator: Forest Trend Monitoring Using Three Decades of Earth Observations across Switzerland. ISPRS Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7120455"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"113560","DOI":"10.1016\/j.rse.2023.113560","article-title":"Spatial variability in melting on Himalayan debris-covered glaciers from 2000 to 2013","volume":"291","author":"Chen","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_15","first-page":"940","article-title":"Urban Sustainable Development Evaluation with Big Earth Data: Data, Indicators, and Methods","volume":"36","author":"Gao","year":"2021","journal-title":"Bull. Chin. Acad. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"113764","DOI":"10.1016\/j.rse.2023.113764","article-title":"SDGSAT-1 nighttime light data improve village-scale built-up delineation","volume":"297","author":"Li","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Li, Y., Xie, Z., Qin, Y., and Zheng, Z. (2019). Estimating Relations of Vegetation, Climate Change, and Human Activity: A Case Study in the 400 mm Annual Precipitation Fluctuation Zone, China. Remote Sens., 11.","DOI":"10.3390\/rs11101159"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1494","DOI":"10.1109\/JSTARS.2022.3146430","article-title":"Res2-Unet, a New Deep Architecture for Building Detection from High Spatial Resolution Images","volume":"15","author":"Chen","year":"2022","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Bai, Y., Yang, Y., and Jiang, H. (2019). Intercomparison of AVHRR GIMMS3g, Terra MODIS, and SPOT-VGT NDVI Products over the Mongolian Plateau. Remote Sens., 11.","DOI":"10.3390\/rs11172030"},{"key":"ref_20","first-page":"1248","article-title":"Spatiotemporal variations of NDVI of different vegetation types in the Baiyangdian Basin under the background of climate change","volume":"43","author":"Chen","year":"2021","journal-title":"Resour. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1007\/s40333-016-0043-6","article-title":"Vegetation dynamics and its response to climate change in Central Asia","volume":"8","author":"Yin","year":"2016","journal-title":"J. Arid. Land"},{"key":"ref_22","first-page":"823","article-title":"Global Vegetation Change and Its Relationship with Precipitation and Temperature Based on GLASS-LAI in 1982\u20132015","volume":"40","author":"Li","year":"2020","journal-title":"Sci. Geol. Sin."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"102834","DOI":"10.1016\/j.pce.2019.102834","article-title":"Assessment of the impacts of climate change and human activities on vegetation cover change in the Haihe River basin, China","volume":"115","author":"Sun","year":"2020","journal-title":"Phys. Chem. Earth"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"7823","DOI":"10.3389\/feart.2021.782287","article-title":"Quantitative Assessment of the Contributions of Climate Change and Human Activities to Vegetation Variation in the Qinling Mountains","volume":"9","author":"Cheng","year":"2021","journal-title":"Front. Earth Sci."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1126\/science.1082750","article-title":"Climate-Driven Increases in Global Terrestrial Net Primary Production from 1982 to 1999","volume":"300","author":"Nemani","year":"2003","journal-title":"Science"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"144437","DOI":"10.1016\/j.scitotenv.2020.144437","article-title":"Diverse responses of spring phenology to preseason drought and warming under different biomes in the North China Plain","volume":"766","author":"Ji","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1016\/j.scitotenv.2019.01.022","article-title":"Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau","volume":"660","author":"Zheng","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.scitotenv.2017.10.253","article-title":"Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau","volume":"616","author":"Zhou","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"142419","DOI":"10.1016\/j.scitotenv.2020.142419","article-title":"Quantitative contributions of climate change and human activities to vegetation changes over multiple time scales on the Loess Plateau","volume":"755","author":"Shi","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"124687","DOI":"10.1016\/j.jhydrol.2020.124687","article-title":"Quantitative contribution of climate change and human activities to vegetation cover variations based on GA-SVM model","volume":"584","author":"Huang","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"108240","DOI":"10.1016\/j.ecolind.2021.108240","article-title":"Evolution characteristics and simulation prediction of forest and grass landscape fragmentation based on the \u201cGrain for Green\u201d projects on the Loess Plateau, P.R. China","volume":"131","author":"Gu","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"145648","DOI":"10.1016\/j.scitotenv.2021.145648","article-title":"Quantifying the contributions of human activities and climate change to vegetation net primary productivity dynamics in China from 2001 to 2016","volume":"773","author":"Ge","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10980-015-0261-x","article-title":"Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau","volume":"31","author":"John","year":"2016","journal-title":"Landsc. Ecol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"107325","DOI":"10.1016\/j.ecolind.2020.107325","article-title":"Assessing vegetation restoration potential under different land uses and climatic classes in northeast Iran","volume":"122","author":"Emamian","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"108273","DOI":"10.1016\/j.ecolind.2021.108273","article-title":"Spatiotemporal heterogeneity of net primary productivity and response to climate change in the mountain regions of southwest China","volume":"132","author":"Wang","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_36","first-page":"425","article-title":"Spatial-temporal Variation of the Vegetation Coverage in Qinling Mountains and Its Dual Response to Climate Change and Human Activities","volume":"33","author":"Deng","year":"2018","journal-title":"J. Nat. Resour."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"106228","DOI":"10.1016\/j.ecolind.2020.106228","article-title":"The rebound effects of recent vegetation restoration projects in Mu Us Sandy land of China","volume":"113","author":"Zhang","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_38","first-page":"297","article-title":"Attribution analysis of vegetation NPP variation in Southwest China considering time-lag effects","volume":"38","author":"Xu","year":"2022","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_39","first-page":"166","article-title":"Vegetation Cover, Climate and Human Activities on the Loess Plateau","volume":"36","author":"Yi","year":"2014","journal-title":"Resour. Sci."},{"key":"ref_40","first-page":"35","article-title":"Response of Vegetation Coverage to Climate Change in the Loess Plateau in 1982\u20132006","volume":"21","author":"Guo","year":"2014","journal-title":"Res. Soil Water Conserv."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1016\/j.scitotenv.2017.03.145","article-title":"Moisture variation inferred from a nebkha profile correlates with vegetation changes in the southwestern Mu Us Desert of China over one century","volume":"598","author":"Li","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"438","DOI":"10.1016\/j.ecolind.2018.03.029","article-title":"What drives the vegetation restoration in Yangtze River basin, China: Climate change or anthropogenic factors?","volume":"90","author":"Qu","year":"2018","journal-title":"Ecol. Indic."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"156553","DOI":"10.1016\/j.scitotenv.2022.156553","article-title":"Quantifying the contributions of climate change and human activities to vegetation dynamic in China based on multiple indices","volume":"838","author":"Liu","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"109164","DOI":"10.1016\/j.ecolind.2022.109164","article-title":"Impacts of climate change and human activities on vegetation NDVI in China\u2019s Mu Us Sandy Land during 2000\u20132019","volume":"142","author":"Lin","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_45","first-page":"1895","article-title":"Spatio-temporal Changes of vegetation and its geomorphic differentiation in the middle reaches of the Hanjiang River based on modis ndvi data","volume":"26","author":"Xu","year":"2017","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"105458","DOI":"10.1016\/j.ecolind.2019.105458","article-title":"Effects of rapid urbanization on vegetation cover in the metropolises of China over the last four decades","volume":"107","author":"Du","year":"2019","journal-title":"Ecol. Indic."},{"key":"ref_47","first-page":"73","article-title":"Spatio-Temporal Patterns of Water Yield and Its Influencing Factors in the Han River Basin","volume":"31","author":"Hu","year":"2022","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Liang, S., and Xiong, Y. (2023). Vegetation Dynamics and Their Response to Climate Changes and Human Activities: A Case Study in the Hanjiang River Basin, China. Forests, 14.","DOI":"10.3390\/f14030509"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"109586","DOI":"10.1016\/j.ecolind.2022.109586","article-title":"Vegetation dynamics influenced by climate change and human activities in the Hanjiang River Basin, central China","volume":"145","author":"Yang","year":"2022","journal-title":"Ecol. Indic."},{"key":"ref_50","first-page":"1623","article-title":"The correlation analysis and space-time changes of NDVI and hydro-thermal index in Hanjiang basin","volume":"32","author":"Li","year":"2013","journal-title":"Geogr. Res."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"509","DOI":"10.1007\/s12517-018-3756-3","article-title":"Multi-perspective analysis of vegetation cover changes and driving factors of long time series based on climate and terrain data in Hanjiang River Basin, China","volume":"11","author":"Liu","year":"2018","journal-title":"Arab. J. Geosci."},{"key":"ref_52","first-page":"862","article-title":"Spatio-Temporal Trends of Vegetation Coverage and Their Causes in the Danjiangkou Reservoir Region During 2000 to 2015","volume":"27","author":"Hu","year":"2018","journal-title":"Resour. Environ. Yangtze Basin"},{"key":"ref_53","first-page":"34","article-title":"Analysis of hydrological regime changes in the midstream Han River using range of variability approach","volume":"35","author":"Zhang","year":"2016","journal-title":"J. Hydroelectr. Eng."},{"key":"ref_54","unstructured":"(2019). Assessment Method for Solar Energy Resource (Standard No. GB\/T37526\u20142019)."},{"key":"ref_55","first-page":"707","article-title":"Research on the Classification System of Digital Land Geomorphology of 1\u22361000000 in China","volume":"11","author":"Zhou","year":"2009","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"771","DOI":"10.1007\/s11442-011-0879-9","article-title":"Structure and contents of layered classification system of digital geomorphology for China","volume":"21","author":"Cheng","year":"2011","journal-title":"J. Geogr. Sci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/S0022-1694(01)00594-7","article-title":"Power of the Mann\u2013Kendall and Spearman\u2019s rho tests for detecting monotonic trends in hydrological series","volume":"259","author":"Yue","year":"2002","journal-title":"J. Hydrol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"1379","DOI":"10.1080\/01621459.1968.10480934","article-title":"Estimates of the Regression Coefficient Based on Kendall\u2019s Tau","volume":"63","author":"Sen","year":"1968","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"298","DOI":"10.2307\/2333282","article-title":"Rank Correlation Method","volume":"44","author":"Kendall","year":"1957","journal-title":"Biometrika"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"245","DOI":"10.2307\/1907187","article-title":"Nonparametric Tests Against Trend","volume":"13","author":"Mann","year":"1945","journal-title":"Econometrica"},{"key":"ref_61","first-page":"776","article-title":"Long Term Storage Capacity of Reservoirs","volume":"116","author":"Hurst","year":"1951","journal-title":"Trans. ASCE"},{"key":"ref_62","unstructured":"Wang, X., Wang, C., and Niu, Z. (2005). Application of R\/S Method in Analyzing NDVI Time Series. Geogr. Geo-Inf. Sci., 20\u201324."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"2051","DOI":"10.1016\/j.scitotenv.2018.09.115","article-title":"NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015","volume":"650","author":"Chu","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"101776","DOI":"10.1016\/j.ecoinf.2022.101776","article-title":"Vegetation coverage changes driven by a combination of climate change and human activities in Ethiopia, 2003\u20132018","volume":"71","author":"Yang","year":"2022","journal-title":"Ecol. Inform."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1016\/j.jclepro.2019.05.334","article-title":"Tempo-spatial changes and main anthropogenic influence factors of vegetation fractional coverage in a large-scale opencast coal mine area from 1992 to 2015","volume":"232","author":"Zhang","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_66","first-page":"10","article-title":"Limits to detectability of land degradation by trend analysis of vegetation index data","volume":"125","author":"Wessels","year":"2012","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_67","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_68","doi-asserted-by":"crossref","first-page":"9339","DOI":"10.1080\/10106049.2021.2017016","article-title":"Impacts of anthropogenic activities on vegetation cover changes in the Circum-Bohai-Sea region, China","volume":"37","author":"Jin","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_69","first-page":"961","article-title":"Contribution of climatic change and human activities to vegetation NDVI change over China during 1982\u20132015","volume":"75","author":"Jin","year":"2020","journal-title":"Acta Geogr. Sin."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1016\/j.scitotenv.2016.09.049","article-title":"NDVI indicated long-term interannual changes in vegetation activities and their responses to climatic and anthropogenic factors in the Three Gorges Reservoir Region, China","volume":"574","author":"Wen","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1026","DOI":"10.18306\/dlkxjz.2021.06.012","article-title":"Coupling effects of climate change and ecological restoration on vegetation dynamics in the Qinling-Huaihe region","volume":"40","author":"Li","year":"2021","journal-title":"Prog. Geogr."},{"key":"ref_72","first-page":"2084","article-title":"Spatiotemporal Variation of the Vegetation Coverage in Yangtze River Basin during 1982\u20132015","volume":"33","author":"Zhang","year":"2018","journal-title":"J. Nat. Resour."},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"105724","DOI":"10.1016\/j.ecolind.2019.105724","article-title":"Distinguishing the impacts of climate change and anthropogenic factors on vegetation dynamics in the Yangtze River Basin, China","volume":"108","author":"Qu","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"108207","DOI":"10.1016\/j.agrformet.2020.108207","article-title":"Vegetation structural change and CO2 fertilization more than offset gross primary production decline caused by reduced solar radiation in China","volume":"296","author":"Chen","year":"2021","journal-title":"Agric. For. Meteorol."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"121573","DOI":"10.1016\/j.jclepro.2020.121573","article-title":"Spatial-temporal changes in ecosystem services and the trade-off relationship in mountain regions: A case study of Hengduan Mountain region in Southwest China","volume":"264","author":"Wang","year":"2020","journal-title":"J. Clean. Prod."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"108005","DOI":"10.1016\/j.ecolind.2021.108005","article-title":"Spatiotemporal variation and influencing factors of vegetation dynamics based on Geodetector: A case study of the northwestern Yunnan Plateau, China","volume":"130","author":"Huo","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1038\/s41558-018-0258-y","article-title":"Greening of the land surface in the world\u2019s cold regions consistent with recent warming","volume":"8","author":"Keenan","year":"2018","journal-title":"Nat. Clim. Chang."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"1638","DOI":"10.1002\/joc.4082","article-title":"Elevation-dependent relationships between climate change and grassland vegetation variation across the Qinghai-Xizang Plateau","volume":"35","author":"Tao","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_79","first-page":"4289","article-title":"Research progress of the effects of wind speed change on grassland ecosystem","volume":"37","author":"Xu","year":"2017","journal-title":"Acta Ecol. Sin."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.catena.2019.04.027","article-title":"Relative importance of climate change and human activities for vegetation changes on China\u2019s silk road economic belt over multiple timescales","volume":"180","author":"Qi","year":"2019","journal-title":"Catena"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"9821275","DOI":"10.34133\/2022\/9821275","article-title":"Glacial Lake Area Changes in High Mountain Asia during 1990\u20132020 Using Satellite Remote Sensing","volume":"2022","author":"Zhang","year":"2022","journal-title":"Research"},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"102724","DOI":"10.1016\/j.ijdrr.2021.102724","article-title":"Flood risk management in the Yangtze River basin\u2014Comparison of 1998 and 2020 events","volume":"68","author":"Jia","year":"2022","journal-title":"Int. J. Disaster Risk Reduct."},{"key":"ref_83","first-page":"102930","article-title":"SNNFD, spiking neural segmentation network in frequency domain using high spatial resolution images for building extraction","volume":"112","author":"Yu","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"113691","DOI":"10.1016\/j.rse.2023.113691","article-title":"Temporal expansion of the nighttime light images of SDGSAT-1 satellite in illuminating ground object extraction by joint observation of NPP-VIIRS and sentinel-2A images","volume":"295","author":"Yu","year":"2023","journal-title":"Remote Sens. Environ."},{"key":"ref_85","first-page":"102853","article-title":"HADeenNet: A hierarchical-attention multi-scale deconvolution network for landslide detection","volume":"111","author":"Yu","year":"2022","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_86","first-page":"100419","article-title":"Assessing changes in nighttime lighting in the aftermath of the Turkey-Syria earthquake using SDGSAT-1 satellite data","volume":"4","author":"Yu","year":"2023","journal-title":"Innovation"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"158474","DOI":"10.1016\/j.scitotenv.2022.158474","article-title":"High emissions could increase the future risk of maize drought in China by 60\u201370%","volume":"852","author":"Jia","year":"2022","journal-title":"Sci. Total Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/20\/4916\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:05:00Z","timestamp":1760130300000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/15\/20\/4916"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,11]]},"references-count":87,"journal-issue":{"issue":"20","published-online":{"date-parts":[[2023,10]]}},"alternative-id":["rs15204916"],"URL":"https:\/\/doi.org\/10.3390\/rs15204916","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,11]]}}}