{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:14:59Z","timestamp":1760145299939,"version":"build-2065373602"},"reference-count":67,"publisher":"MDPI AG","issue":"13","license":[{"start":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T00:00:00Z","timestamp":1719964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China (NSFC)","doi-asserted-by":"publisher","award":["42076234","2021YFC2801404","2042024kf0039"],"award-info":[{"award-number":["42076234","2021YFC2801404","2042024kf0039"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["42076234","2021YFC2801404","2042024kf0039"],"award-info":[{"award-number":["42076234","2021YFC2801404","2042024kf0039"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["42076234","2021YFC2801404","2042024kf0039"],"award-info":[{"award-number":["42076234","2021YFC2801404","2042024kf0039"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>A\u2019nyemaqen Snow Mountain (ASM) is the largest glacier area in the Yellow River source area and has been experiencing significant ablation in recent years. To investigate spatial\u2013temporal elevation changes in ASM, a 21\u2013year Digital Elevation Model (DEM) time series was obtained using the MicMac ASTER (MMASTER) algorithm and ASTER L1A V003 data. It covers the period from January 2002 to January 2023. The mean elevation of ASM decreased by \u22127.88 \u00b1 3.37 m during this period, with highly spatial variation. The elevation decrease occurred mainly in the lower elevations and opposite in the higher elevations. The corresponding elevation decrease was \u221212.99 \u00b1 11.29 and \u22124.45 \u00b1 11.36 m at the southern Yehelong Glacier and the northern Weigeledangxiong Glacier, respectively. Moreover, there exists a temporal variation in ASM. The maximum elevation was observed in February for both ASM and the southern Yehelong Glacier but March for Weigeledangxiong Glacier, with about 1 month lagged. With the elevation time series and climate data from ERA5 datasets, we applied the random forest technique and found that the temperature is the main factor to elevation change in ASM. Furthermore, the response of elevation changes to temperature appeared with a lag and varied with the location. Based on the elevation time series, the ARIMA model was further used to forecast the elevation changes in the next 5 years. All regions will experience the elevation decrease, with a mean decline \u22121.74 \u00b1 0.39 m and a corresponding rate \u22120.35 \u00b1 0.08 m\/a in ASM. This is similar to that of \u22120.38 \u00b1 0.16 m\/a between 2002 and 2003, showing its stability in the near future.<\/jats:p>","DOI":"10.3390\/rs16132446","type":"journal-article","created":{"date-parts":[[2024,7,3]],"date-time":"2024-07-03T08:45:34Z","timestamp":1719996334000},"page":"2446","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Elevation Changes of A\u2019nyemaqen Snow Mountain Revealed with Satellite Remote Sensing"],"prefix":"10.3390","volume":"16","author":[{"given":"Huai","family":"Lin","sequence":"first","affiliation":[{"name":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China"}]},{"given":"Yuande","family":"Yang","sequence":"additional","affiliation":[{"name":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Polar Environment Monitoring and Public Governance, Ministry of Education, Wuhan 430079, China"},{"name":"Midui Glacier\u2013Guangxie Glacial Lake Disaster Field Scientific Observation and Research Station in Tibet Autonomous Region, Northwest Institute of Eco\u2013Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4629-200X","authenticated-orcid":false,"given":"Leiyu","family":"Li","sequence":"additional","affiliation":[{"name":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China"}]},{"given":"Qihua","family":"Wang","sequence":"additional","affiliation":[{"name":"Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan 430079, China"}]},{"given":"Minyi","family":"Guo","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China"}]}],"member":"1968","published-online":{"date-parts":[[2024,7,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"4133","DOI":"10.1038\/s41467-021-24180-y","article-title":"High Mountain Asian glacier response to climate revealed by multi\u2013temporal satellite observations since the 1960s","volume":"12","author":"Bhattacharya","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"364","DOI":"10.1038\/s41586-019-1822-y","article-title":"Importance and vulnerability of the world\u2019s water towers","volume":"577","author":"Immerzeel","year":"2020","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1038\/ngeo1643","article-title":"Asia\u2019s water balance","volume":"5","author":"Immerzeel","year":"2012","journal-title":"Nat. Geosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1038\/s41586-019-1240-1","article-title":"Asia\u2019s shrinking glaciers protect large populations from drought stress","volume":"569","author":"Pritchard","year":"2019","journal-title":"Nature"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/S1040-6182(99)00035-X","article-title":"An overview of glacial hazards in the Himalayas","volume":"65","author":"Richardson","year":"2000","journal-title":"Quat. Int."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1038\/s43017-020-00124-w","article-title":"Glacial change and hydrological implications in the Himalaya and Karakoram","volume":"2","author":"Nie","year":"2021","journal-title":"Nat. Rev. Earth"},{"key":"ref_7","first-page":"1285","article-title":"Glacial hazards on Tibetan Plateau and surrounding alpines","volume":"34","author":"Guangjian","year":"2019","journal-title":"Bull. Chin. Acad. Sci."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Rounce, D.R., Hock, R., and Shean, D.E. (2020). Glacier mass change in High Mountain Asia through 2100 using the open\u2013source python glacier evolution model (PyGEM). Front. Earth Sci., 7.","DOI":"10.3389\/feart.2019.00331"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Wester, P., Mishra, A., Mukherji, A., and Shrestha, A.B. (2019). The Hindu Kush Himalaya Assessment: Mountains, Climate Change, Sustainability and People, Springer Nature.","DOI":"10.1007\/978-3-319-92288-1"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1016\/j.rse.2014.04.025","article-title":"High\u2013resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles","volume":"150","author":"Immerzeel","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"783","DOI":"10.5194\/isprs-archives-XLI-B7-783-2016","article-title":"Exploiting Sentinel\u20131 amplitude data for glacier surface velocity field measurements: Feasibility demonstration on Baltoro glacier","volume":"41","author":"Nascetti","year":"2016","journal-title":"Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci."},{"key":"ref_12","unstructured":"Moragues, S.N., Lenzano, M.G., Lo Vecchio Repetto, A., Falaschi, D., and Lenzano, L.E. (2018). Surface Velocities of Upsala Glacier, Southern Patagonian Andes, Estimated Using Cross\u2013Correlation Satellite Imagery: 2013\u20132014 Period, Servicio Nacional de Geolog\u00eda y Miner\u00eda."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1007\/s40333-017-0067-6","article-title":"Multi\u2013decadal variations in glacier flow velocity and the influencing factors of Urumqi Glacier No. 1 in Tianshan Mountains, Northwest China","volume":"9","author":"Wang","year":"2017","journal-title":"J. Arid. Land"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"909","DOI":"10.5194\/gmd-12-909-2019","article-title":"The open global glacier model (OGGM) v1. 1","volume":"12","author":"Maussion","year":"2019","journal-title":"Geosci. Model Dev."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"117037","DOI":"10.1016\/j.envres.2023.117037","article-title":"Historical and projected evolutions of glaciers in response to climate change in High Mountain Asia","volume":"237","author":"Yang","year":"2023","journal-title":"Environ. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.jhydrol.2013.12.017","article-title":"High uncertainty in 21st century runoff projections from glacierized basins","volume":"510","author":"Huss","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.rse.2009.08.015","article-title":"Landsat\u2013based inventory of glaciers in western Canada, 1985\u20132005","volume":"114","author":"Bolch","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"171","DOI":"10.3189\/2013AoG63A296","article-title":"On the accuracy of glacier outlines derived from remote\u2013sensing data","volume":"54","author":"Paul","year":"2013","journal-title":"Ann. Glaciol."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"859","DOI":"10.1007\/s11629-016-3992-5","article-title":"Monitoring elevation change of glaciers on Geladandong Mountain using TanDEM\u2013X SAR interferometry","volume":"14","author":"Liu","year":"2017","journal-title":"J. Mt. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Pandey, P., Manickam, S., Bhattacharya, A., Singh, G., Venkataraman, G., and Ray, P.C. (2016, January 10\u201315). Mass change of Gangotri glacier based on TanDEM\u2013X measurements. Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China.","DOI":"10.1109\/IGARSS.2016.7730611"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Jaber, W.A., Floricioiu, D., Johnson, E., and Rott, H. (2017, January 23\u201328). Recent surface elevation changes of Patagonian glaciers derived with TanDEM\u2013X. Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Fort Worth, TX, USA.","DOI":"10.1109\/IGARSS.2017.8127585"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Du, W., Shi, N., Xu, L., Zhang, S., Ma, D., and Wang, S. (2021). Monitoring the spatiotemporal difference in glacier elevation on Bogda Mountain from 2000 to 2017. Int. J. Environ. Res. Public Health, 18.","DOI":"10.3390\/ijerph18126374"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"17799","DOI":"10.1080\/10106049.2022.2136254","article-title":"Spatially heterogeneous glacier elevation change in the Jankar Chhu Watershed, Lahaul Himalaya, India derived using ASTER DEMs","volume":"37","author":"Das","year":"2022","journal-title":"Geocarto Int."},{"key":"ref_24","first-page":"59","article-title":"Glacier elevation changes monitoring in Nyainqentanglha Range using ICESat","volume":"43","author":"Mo","year":"2018","journal-title":"Sci. Surveting Mapp."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"726","DOI":"10.1038\/s41586-021-03436-z","article-title":"Accelerated global glacier mass loss in the early twenty\u2013first century","volume":"592","author":"Hugonnet","year":"2021","journal-title":"Nature"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"10117","DOI":"10.3390\/rs70810117","article-title":"Modeling glacier elevation change from DEM time series","volume":"7","author":"Wang","year":"2015","journal-title":"Remote Sens."},{"key":"ref_27","first-page":"701","article-title":"Glacier fluctuations and the inferred climate changes in the A\u2019Ny\u00eamaq\u00ean Mountains in the source area of the Yellow River","volume":"24","author":"Liu","year":"2002","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Zhou, M., Xu, S., Wang, Y., Wang, Y., and Hou, S. (2022). Recent 50\u2013Year Glacier Mass Balance Changes over the Yellow River Source Region, Determined by Remote Sensing. Remote Sens., 14.","DOI":"10.3390\/rs14246286"},{"key":"ref_29","first-page":"231","article-title":"Recent surface elevation changes of three representative glaciers in \u00c1ny\u00eamaq\u00ean Mountains, source region of Yellow River","volume":"40","author":"Jiang","year":"2018","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_30","first-page":"300","article-title":"Research for glaciers and climate change of Anyemaqen Mountain nearly 30 years","volume":"22","author":"Wang","year":"2015","journal-title":"Res. Soil Water Conserv."},{"key":"ref_31","first-page":"306","article-title":"Characteristics of Climate Change and Its Impact Assessment in the Three\u2013River Regions","volume":"41","author":"Li","year":"2022","journal-title":"Plateau Meteorol"},{"key":"ref_32","first-page":"950","article-title":"Glacier detachment chain process in the Amney Machen Mountain","volume":"58","author":"Wang","year":"2022","journal-title":"J. Beijing Norm. Univ. (Nat. Sci.)"},{"key":"ref_33","first-page":"1746","article-title":"Composition characteristics and its environmental implication of insoluble microparticles in snow cover on Yehelong Glacier, Mt. Anyemaqen, source region of the Yellow River","volume":"43","author":"Wu","year":"2021","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_34","first-page":"120","article-title":"Climatic geomorphology of the Anyemaqen Mountains","volume":"59","author":"Wang","year":"1984","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_35","first-page":"595","article-title":"Glacier change and its effect on surface runoff in the source regions of the Yangtze and Yellow rivers","volume":"18","author":"Yang","year":"2003","journal-title":"J. Nat. Resour."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5013","DOI":"10.1080\/01431160500177620","article-title":"Digital elevation model (DEM) generation and accuracy assessment from ASTER stereo data","volume":"26","author":"San","year":"2005","journal-title":"Int. J. Remote Sens."},{"key":"ref_37","unstructured":"Cheng, X., Zhang, Y., Dongchen, E., Li, Z., and Shao, Y. (2003, January 21\u201325). Digital elevation model construction using ASTER stereo VNIR scene in Antarctic in\u2013land ice sheet. Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Lachaise, M., Bachmann, M., Fritz, T., Huber, M., Schweisshelm, B., and Wessel, B. (2021\u20131, January 29). The TanDEM\u2013X Change DEM: The new temporal DEM of the TanDEM\u2013X Mission. Proceedings of the EUSAR 2021 13th European Conference on Synthetic Aperture Radar, Online.","DOI":"10.20944\/preprints202010.0389.v1"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.isprsjprs.2018.02.017","article-title":"Accuracy assessment of the global TanDEM\u2013X Digital Elevation Model with GPS data","volume":"139","author":"Wessel","year":"2018","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"537","DOI":"10.3189\/2014JoG13J176","article-title":"The Randolph Glacier Inventory: A globally complete inventory of glaciers","volume":"60","author":"Pfeffer","year":"2014","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"773","DOI":"10.1017\/jog.2021.28","article-title":"A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0","volume":"67","author":"Li","year":"2021","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1093\/gji\/ggab084","article-title":"Assessment of ICESat\u20132 for the recovery of ocean topography","volume":"226","author":"Yu","year":"2021","journal-title":"Geophys. J. Int."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"112110","DOI":"10.1016\/j.rse.2020.112110","article-title":"Validation of ICESat\u20132 terrain and canopy heights in boreal forests","volume":"251","author":"Neuenschwander","year":"2020","journal-title":"Remote Sens. Environ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1007\/s11771-022-4896-x","article-title":"Accuracy assessment of ICESat\u20132 ATL08 terrain estimates: A case study in Spain","volume":"29","author":"Zhu","year":"2022","journal-title":"J. Cent. South Univ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2527","DOI":"10.5194\/hess-24-2527-2020","article-title":"Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America","volume":"24","author":"Tarek","year":"2020","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"4349","DOI":"10.5194\/essd-13-4349-2021","article-title":"ERA5\u2013Land: A state\u2013of\u2013the\u2013art global reanalysis dataset for land applications","volume":"13","author":"Dutra","year":"2021","journal-title":"Earth Syst. Sci. Data"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Zhao, P., and He, Z. (2022). A first evaluation of ERA5\u2013Land reanalysis temperature product over the Chinese Qilian Mountains. Front. Earth Sci., 10.","DOI":"10.3389\/feart.2022.907730"},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Lei, X., Xu, W., Chen, S., Yu, T., Hu, Z., Zhang, M., Jiang, L., Bao, R., Guan, X., and Ma, M. (2022). How well does the ERA5 reanalysis capture the extreme climate events over China? Part I: Extreme precipitation. Front. Environ. Sci., 10.","DOI":"10.3389\/fenvs.2022.921658"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Xu, W., Lei, X., Chen, S., Yu, T., Hu, Z., Zhang, M., Jiang, L., Bao, R., Guan, X., and Ma, M. (2022). How well does the ERA5 reanalysis capture the extreme climate events over China? Part II: Extreme temperature. Front. Environ. Sci., 10.","DOI":"10.3389\/fenvs.2022.921659"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Girod, L., Nuth, C., K\u00e4\u00e4b, A., McNabb, R., and Galland, O. (2017). MMASTER: Improved ASTER DEMs for elevation change monitoring. Remote Sens., 9.","DOI":"10.3390\/rs9070704"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Scheick, J., Arendt, A., Heagy, L., and Perez, F. (2019). Introducing icepyx, an open source Python library for obtaining and working with ICESat\u20132 data. Earth Space Sci. Open Arch. ESSOAr, 2451406849.","DOI":"10.1002\/essoar.10501423.1"},{"key":"ref_52","unstructured":"Scheick, J., Arendt, A.A., Heagy, L.J., Paolo, F., Perez, F., and Steiker, A.E. (2020, January 1\u201310). icepyx: Developing Community and Software Around ICESat\u20132 Data. Proceedings of the AGU Fall Meeting Abstracts, Online."},{"key":"ref_53","unstructured":"Hartmann, D. (2022). Impacts on Glacier Mass Balance in High Mountain Asia Assessed Using Machine Learning. [Master\u2019s Thesis, Universiteit Utrecht]."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"292","DOI":"10.5951\/MT.102.4.0292","article-title":"The evolution of Pearson\u2019s correlation coefficient","volume":"102","author":"Kader","year":"2008","journal-title":"Math. Teach."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Cohen, I., Huang, Y., Chen, J., Benesty, J., Benesty, J., Chen, J., Huang, Y., and Cohen, I. (2009). Pearson correlation coefficient. Noise Reduction in Speech Processing, Springer.","DOI":"10.1007\/978-3-642-00296-0"},{"key":"ref_56","first-page":"450","article-title":"Evaluating the Forecast of ARIMA Models Based on Statistical Methods","volume":"1","author":"Zhang","year":"2008","journal-title":"Recent Adv. Stat. Appl. Relat. Areas"},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"959","DOI":"10.1175\/WAF-D-19-0158.1","article-title":"Use of the autoregressive integrated moving average (ARIMA) model to forecast near\u2013term regional temperature and precipitation","volume":"35","author":"Lai","year":"2020","journal-title":"Weather. Forecast."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"e1460","DOI":"10.1002\/wics.1460","article-title":"The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements","volume":"11","author":"Cavanaugh","year":"2019","journal-title":"Wiley Interdiscip. Rev. Comput. Stat."},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Marin\u2013Calispa, H., Cuenca, E., Morales\u2013Navarrete, D., and Basantes, R. (2023, January 18\u201320). Machine Learning Applied to the Analysis of Glacier Masses. Proceedings of the Conference on Information and Communication Technologies of Ecuador, Cuenca, Ecuador.","DOI":"10.1007\/978-3-031-45438-7_11"},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"2297843","DOI":"10.1080\/17538947.2023.2297843","article-title":"Multi\u2013source DEM accuracy evaluation based on ICESat\u20132 in Qinghai\u2013Tibet Plateau, China","volume":"17","author":"Weifeng","year":"2024","journal-title":"Int. J. Digit. Earth"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"10427","DOI":"10.1002\/2017GL075300","article-title":"Large\u2013scale seasonal changes in glacier thickness across High Mountain Asia","volume":"44","author":"Wang","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"e2020GL090954","DOI":"10.1029\/2020GL090954","article-title":"Continuous estimates of glacier mass balance in high mountain Asia based on ICESat\u20131, 2 and GRACE\/GRACE follow\u2013on data","volume":"48","author":"Wang","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1007\/s40333-020-0061-2","article-title":"Glacier variations and their response to climate change in an arid inland river basin of Northwest China","volume":"12","author":"Zhou","year":"2020","journal-title":"J. Arid. Land"},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Demberel, O., Munkhbat, B., Dorjsuren, B., Callaghan, T.V., Tsogoo, B., Zemtsov, V.A., Shaarav, O., Gongor, E., Jargalsaikhan, Z., and Ganhuyag, N. (2023). Relationship between dynamics of modern glaciers of the Mt. Munkhkhairkhan (Mongolian Altai) and climate. Water, 15.","DOI":"10.3390\/w15101921"},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"81","DOI":"10.5194\/tc-7-81-2013","article-title":"Current state of glaciers in the tropical Andes: A multi\u2013century perspective on glacier evolution and climate change","volume":"7","author":"Rabatel","year":"2013","journal-title":"Cryosphere"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"e2019GL085578","DOI":"10.1029\/2019GL085578","article-title":"On the imbalance and response time of glaciers in the European Alps\u2013dataset","volume":"47","author":"Zekollari","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1111\/j.1468-0459.2012.00469.x","article-title":"Linear modelling of glacier length fluctuations","volume":"94","author":"Oerlemans","year":"2012","journal-title":"Geogr. Ann. Ser. A Phys. Geogr."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/13\/2446\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T15:09:42Z","timestamp":1760108982000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/16\/13\/2446"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,3]]},"references-count":67,"journal-issue":{"issue":"13","published-online":{"date-parts":[[2024,7]]}},"alternative-id":["rs16132446"],"URL":"https:\/\/doi.org\/10.3390\/rs16132446","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2024,7,3]]}}}