{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:08:58Z","timestamp":1760234938462,"version":"build-2065373602"},"reference-count":72,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T00:00:00Z","timestamp":1625788800000},"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","doi-asserted-by":"publisher","award":["41930970"],"award-info":[{"award-number":["41930970"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Lake ice phenology is a climate-sensitive indicator. However, ground-based monitoring suffers from the limitations of human vision and the difficulty of its implementation in harsh environments. Remote sensing provides great potential to detect lake ice phenology. In this study, a new automated method was developed to extract lake ice phenology parameters by capturing the temporal pattern of the transitional water\/ice phase using a parameterized time function. The method is based on Moderate-Resolution Imaging Spectroradiometer (MODIS) daily temperature products, which have unique potential for monitoring lake ice cover as a result of providing four observations per day at 1 km spatial resolution from 2002 to 2016. Three seasonally ice-covered lakes with different characteristics in different climate regions were selected to test the method during the period of 2002\u20132016. The temporal pattern of water\/ice transition phase was determined on the basis of unfrozen water cover fraction extracted from the MODIS daily temperature data, and was compared with the MODIS snow and reflectance products and Landsat images. A good agreement with an R2 of above 0.8 was found when compared with the MODIS snow product. The annual variation of extracted ice phenology dates showed good consistency with the MODIS reflectance and AMSR-E\/2 products. The approach was then applied to nine seasonally ice-covered lakes in northern China from 2002 to 2016. The strongest tendency towards a later freeze-up start date was revealed in Lake Qinghai (6.31 days\/10 yr) among the lakes in Tibetan plateau, and the break-up start and end dates rapidly shifted towards earlier dates in Lake Hulun (\u22123.73 days\/10 yr; \u22125.02 days\/10 yr). The method is suitable for estimating and monitoring ice phenology on different types of lakes over large scales and has a strong potential to provide valuable information on the responses of ice processes to climate change.<\/jats:p>","DOI":"10.3390\/rs13142711","type":"journal-article","created":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T10:50:38Z","timestamp":1625827838000},"page":"2711","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["An Automatic Method to Detect Lake Ice Phenology Using MODIS Daily Temperature Imagery"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6789-1926","authenticated-orcid":false,"given":"Xin","family":"Zhang","sequence":"first","affiliation":[{"name":"Department of Ecohydrology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany"},{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Climate and Earth System Science, Beijing Normal University, Beijing 100875, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7414-5400","authenticated-orcid":false,"given":"Kaicun","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Earth Surface Processes and Resource Ecology, College of Global Climate and Earth System Science, Beijing Normal University, Beijing 100875, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7337-3586","authenticated-orcid":false,"given":"Georgiy","family":"Kirillin","sequence":"additional","affiliation":[{"name":"Department of Ecohydrology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries, 12587 Berlin, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"2283","DOI":"10.4319\/lo.2009.54.6_part_2.2283","article-title":"Lakes as sentinels of climate change","volume":"54","author":"Adrian","year":"2009","journal-title":"Limnol. Oceanogr."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.1126\/science.289.5485.1743","article-title":"Historical Trends in Lake and River Ice Cover in the Northern Hemisphere","volume":"289","author":"Magnuson","year":"2000","journal-title":"Science"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1038\/s41558-018-0393-5","article-title":"Widespread loss of lake ice around the Northern Hemisphere in a warming world","volume":"9","author":"Sharma","year":"2019","journal-title":"Nat. Clim. Chang."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"7841","DOI":"10.1029\/2017WR021731","article-title":"Linear-Circular Statistical Modeling of Lake Ice-Out Dates","volume":"54","author":"Beyene","year":"2018","journal-title":"Water Resour. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s10584-011-0212-8","article-title":"Extreme events, trends, and variability in Northern Hemisphere lake-ice phenology (1855\u20132005)","volume":"112","author":"Benson","year":"2011","journal-title":"Clim. Chang."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1111\/j.1365-2486.2010.02249.x","article-title":"Large geographical differences in the sensitivity of ice-covered lakes and rivers in the Northern Hemisphere to temperature changes","volume":"17","author":"Weyhenmeyer","year":"2010","journal-title":"Glob. Chang. Biol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"07203","DOI":"10.1029\/2004GL019530","article-title":"Nonlinear temperature response of lake ice breakup","volume":"31","author":"Weyhenmeyer","year":"2004","journal-title":"Geophys. Res. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"2013","DOI":"10.4319\/lo.2007.52.5.2013","article-title":"Spatial analysis of ice phenology trends across the Laurentian Great Lakes region during a recent warming period","volume":"52","author":"Jensen","year":"2007","journal-title":"Limnol. Oceanogr."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"087953","DOI":"10.1029\/2020GL087953","article-title":"Geography and Morphology Affect the Ice Duration Dynamics of Northern Hemisphere Lakes Worldwide","volume":"47","author":"Warne","year":"2020","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1177\/0309133310375653","article-title":"The response and role of ice cover in lake-climate interactions","volume":"34","author":"Brown","year":"2010","journal-title":"Prog. Phys. Geogr. Earth Environ."},{"key":"ref_11","unstructured":"IGOS (2007). Integrated Global Observing Strategy Cryosphere Theme Report\u2014For the Monitoring of our Environment from Space and from Earth, World Meteorological Organization."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Tedesco, M. (2015). Remote Sensing of lake and river ice. Remote Sensing of the Cryosphere, Wiley Blackwell.","DOI":"10.1002\/9781118368909"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"235","DOI":"10.5194\/tc-6-235-2012","article-title":"Estimating ice phenology on large northern lakes from AMSR-E: Algorithm development and application to Great Bear Lake and Great Slave Lake, Canada","volume":"6","author":"Kang","year":"2012","journal-title":"Cryosphere"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"47","DOI":"10.5194\/tc-11-47-2017","article-title":"Satellite microwave assessment of Northern Hemisphere lake ice phenology from 2002 to 2015","volume":"11","author":"Du","year":"2017","journal-title":"Cryosphere"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.scitotenv.2017.07.027","article-title":"Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data","volume":"607-608","author":"Cai","year":"2017","journal-title":"Sci. Total. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"073477","DOI":"10.1117\/1.JRS.7.073477","article-title":"Variability in the ice phenology of Nam Co Lake in central Tibet from scanning multichannel microwave radiometer and special sensor microwave\/imager: 1978 to 2013","volume":"7","author":"Ke","year":"2013","journal-title":"J. Appl. Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Che, T., Li, X., and Dai, L. (2011, January 24\u201329). Monitoring freeze-up and break-up dates of Northern Hemisphere big lakes using passive microwave remote sensing data. Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada.","DOI":"10.1109\/IGARSS.2011.6049897"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Zhang, S., and Pavelsky, T.M. (2019). Remote Sensing of Lake Ice Phenology across a Range of Lakes Sizes, ME, USA. Remote Sens., 11.","DOI":"10.3390\/rs11141718"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s11442-019-1587-0","article-title":"Spatiotemporal characteristics of Qinghai Lake ice phenology between 2000 and 2016","volume":"29","author":"Qi","year":"2019","journal-title":"J. Geogr. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"38449","DOI":"10.1038\/srep38449","article-title":"Arctic lakes show strong decadal trend in earlier spring ice-out","volume":"6","author":"Edwards","year":"2016","journal-title":"Sci. Rep."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"112206","DOI":"10.1016\/j.rse.2020.112206","article-title":"Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data","volume":"253","author":"Wu","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"287","DOI":"10.5194\/tc-7-287-2013","article-title":"Analysis of ice phenology of lakes on the Tibetan Plateau from MODIS data","volume":"7","author":"Maussion","year":"2013","journal-title":"Cryosphere"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1029\/2018JD028993","article-title":"Variations of Lake Ice Phenology on the Tibetan Plateau From 2001 to 2017 Based on MODIS Data","volume":"124","author":"Cai","year":"2019","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3596","DOI":"10.1002\/hyp.11295","article-title":"Lake ice and temperature trends for Ontario and Manitoba: 2001 to 2014","volume":"31","author":"Murfitt","year":"2017","journal-title":"Hydrol. Process."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"5738","DOI":"10.1029\/2018JD029798","article-title":"An Examination of Temperature Trends at High Elevations Across the Tibetan Plateau: The Use of MODIS LST to Understand Patterns of Elevation-Dependent Warming","volume":"124","author":"Pepin","year":"2019","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1662","DOI":"10.1016\/j.rse.2010.02.017","article-title":"Integrated assessment on multi-temporal and multi-sensor combinations for reducing cloud obscuration of MODIS snow cover products of the Pacific Northwest USA","volume":"114","author":"Gao","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1361","DOI":"10.5194\/hess-13-1361-2009","article-title":"Cloud removal methodology from MODIS snow cover product","volume":"13","author":"Gafurov","year":"2009","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1809","DOI":"10.5194\/hess-17-1809-2013","article-title":"Reducing cloud obscuration of MODIS snow cover area products by combining spatio-temporal techniques with a probability of snow approach","volume":"17","author":"Gupta","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"2401","DOI":"10.5194\/hess-23-2401-2019","article-title":"The recent developments in cloud removal approaches of MODIS snow cover product","volume":"23","author":"Li","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"5227","DOI":"10.5194\/hess-23-5227-2019","article-title":"Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record","volume":"23","author":"Hall","year":"2019","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Parajka, J., and Bloschl, G. (2008). Spatio-temporal combination of MODIS images - potential for snow cover mapping. Water Resour. Res., 44.","DOI":"10.1029\/2007WR006204"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"033559","DOI":"10.1117\/1.3265996","article-title":"Development and assessment of combined Terra and Aqua snow cover products in Colorado Plateau, USA and northern Xinjiang, China","volume":"3","author":"Xie","year":"2009","journal-title":"J. Appl. Remote Sens."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1016\/j.jhydrol.2009.03.028","article-title":"New methods for studying the spatiotemporal variation of snow cover based on combination products of MODIS Terra and Aqua","volume":"371","author":"Wang","year":"2009","journal-title":"J. Hydrol."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"492","DOI":"10.1016\/j.rse.2006.09.015","article-title":"Analysis of climate change impacts on lake ice phenology in Canada using the historical satellite data record","volume":"106","author":"Latifovic","year":"2007","journal-title":"Remote Sens. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2163","DOI":"10.1080\/01431160500391957","article-title":"Estimating ice breakup dates on Eurasian lakes using water temperature trends and threshold surface temperatures derived from MODIS data","volume":"28","author":"Nonaka","year":"2007","journal-title":"Int. J. Remote Sens."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1016\/j.rse.2015.12.014","article-title":"Lake ice phenology from AVHRR data for European lakes: An automated two-step extraction method","volume":"174","author":"Weber","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/S0034-4257(02)00135-9","article-title":"Monitoring vegetation phenology using MODIS","volume":"84","author":"Zhang","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1016\/j.rse.2009.11.001","article-title":"Comparison of cloud-reconstruction methods for time series of composite NDVI data","volume":"114","author":"Julien","year":"2010","journal-title":"Remote Sens. Environ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1016\/j.rse.2005.10.021","article-title":"Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI","volume":"100","author":"Beck","year":"2006","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/j.rse.2016.11.023","article-title":"Global evaluation of gap-filling approaches for seasonal NDVI with considering vegetation growth trajectory, protection of key point, noise resistance and curve stability","volume":"189","author":"Liu","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1016\/j.rse.2013.01.011","article-title":"Detecting interannual variation in deciduous broadleaf forest phenology using Landsat TM\/ETM+ data","volume":"132","author":"Melaas","year":"2013","journal-title":"Remote Sens. Environ."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1017\/jog.2020.87","article-title":"Study of freeze-thaw cycle and key radiation transfer parameters in a Tibetan Plateau lake using LAKE2.0 model and field observations","volume":"67","author":"Li","year":"2021","journal-title":"J. Glaciol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1933","DOI":"10.18306\/dlkxjz.2019.12.009","article-title":"Change of ice phenology in the Hulun Lake from 1986 to 2017","volume":"38","author":"Wu","year":"2019","journal-title":"Prog. Geogr."},{"key":"ref_44","unstructured":"Suming, W. (1998). Records of Chinese Lakes, Science Press. (In Chinese)."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1109\/36.508406","article-title":"A generalized split-window algorithm for retrieving land-surface temperature from space","volume":"34","author":"Wan","year":"1996","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.rse.2006.06.026","article-title":"New refinements and validation of the MODIS Land-Surface Temperature\/Emissivity products","volume":"112","author":"Wan","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1534","DOI":"10.1002\/hyp.6715","article-title":"Accuracy assessment of the MODIS snow products","volume":"21","author":"Hall","year":"2007","journal-title":"Hydrol. Process."},{"key":"ref_48","unstructured":"Riggs, G.A., Hall, D.K., and Rom\u00e1n, M.O. (2021, January 15). Modis Snow Products User Guide for Collection 6.1 (c6.1), Available online: https:\/\/modis-snow-ice.gsfc.nasa.gov\/uploads\/C6_MODIS_Snow_User_Guide.pdf."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"4384","DOI":"10.1002\/joc.4639","article-title":"Climatic warming in China according to a homogenized data set from 2419 stations","volume":"36","author":"Cao","year":"2016","journal-title":"Int. J. Clim."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"5550","DOI":"10.1002\/2017GL073773","article-title":"Lake volume and groundwater storage variations in Tibetan Plateau\u2019s endorheic basin","volume":"44","author":"Zhang","year":"2017","journal-title":"Geophys. Res. Lett."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Zhang, X., Wang, K., Frassl, M.A., and Boehrer, B. (2020). Reconstructing Six Decades of Surface Temperatures at a Shallow Lake. Water, 12.","DOI":"10.3390\/w12020405"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1002\/hyp.6131","article-title":"Recent trends in Canadian lake ice cover","volume":"20","author":"Duguay","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1016\/j.ecolmodel.2017.05.008","article-title":"A proposed family of Unified models for sigmoidal growth","volume":"359","author":"Tjorve","year":"2017","journal-title":"Ecol. Model."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1006\/anbo.2001.1512","article-title":"Biomass Accumulation and Main Stem Elongation of Durum Wheat Grown under Mediterranean Conditions","volume":"88","author":"Villegas","year":"2001","journal-title":"Ann. Bot."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.rse.2014.03.017","article-title":"Remote sensing of spring phenology in northeastern forests: A comparison of methods, field metrics and sources of uncertainty","volume":"148","author":"White","year":"2014","journal-title":"Remote Sens. Environ."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1080\/20964471.2019.1631729","article-title":"MODIS-based Daily Lake Ice Extent and Coverage dataset for Tibetan Plateau","volume":"3","author":"Qiu","year":"2019","journal-title":"Big Earth Data"},{"key":"ref_57","unstructured":"Qiu, Y. (2018). Dataset of Microwave Brightness Temperature and the Freeze-Thaw Process for Medium-to-Large Lakes in the High Asia Region (2002\u20132016), National Tibetan Plateau Data Center."},{"key":"ref_58","unstructured":"Jeffries, M.O., Morris, K., and Kozlenko, N. (2005). Ice characteristics and processes, and remote sensing of frozen rivers and lakes. Remote Sensing in Northern Hydrology: Measuring Environmental Change, American Geophysical Union (AGU)."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"25","DOI":"10.5589\/m12-010","article-title":"Surface water temperature observations of large lakes by optimal estimation","volume":"38","author":"Maccallum","year":"2012","journal-title":"Can. J. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"48","DOI":"10.1038\/s41597-019-0040-7","article-title":"A long-term dataset of lake surface water temperature over the Tibetan Plateau derived from AVHRR 1981\u20132015","volume":"6","author":"Liu","year":"2019","journal-title":"Sci. Data"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1007\/s10584-011-0248-9","article-title":"Lake ice phenology in Berlin-Brandenburg from 1947\u20132007: Observations and model hindcasts","volume":"112","author":"Bernhardt","year":"2011","journal-title":"Clim. Chang."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"575","DOI":"10.1007\/s10584-019-02623-2","article-title":"MODIS-observed variations of lake ice phenology in Xinjiang, China","volume":"158","author":"Cai","year":"2020","journal-title":"Clim. Chang."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1007\/s00027-012-0279-y","article-title":"Physics of seasonally ice-covered lakes: A review","volume":"74","author":"Kirillin","year":"2012","journal-title":"Aquat. Sci."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1134\/S0001433819010092","article-title":"Numerical Simulation of Ice Cover of Saline Lakes","volume":"55","author":"Stepanenko","year":"2019","journal-title":"Izv. Atmospheric Ocean. Phys."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"8403","DOI":"10.1029\/JD093iD07p08403","article-title":"Theory of the optical properties of lake ice","volume":"93","author":"Mullen","year":"1988","journal-title":"J. Geophys. Res. Space Phys."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"296","DOI":"10.3189\/S0022143000008352","article-title":"Spectral Reflectances of Snow and Fresh-Water Ice from 340 Through 1100 nm","volume":"29","author":"Bolsenga","year":"1983","journal-title":"J. Glaciol."},{"key":"ref_67","first-page":"153","article-title":"Lake ice formation and breakup as an indicator of climate change: Potential for monitoring using remote sensing techniques","volume":"Volume 168","author":"Maslanik","year":"1987","journal-title":"The Influence of Climate Change and Climatic Variability on the Hydrologic Regime and Water Resources"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"124122","DOI":"10.1016\/j.jhydrol.2019.124122","article-title":"Thermal structure and water-ice heat transfer in a shallow ice-covered thermokarst lake in central Qinghai-Tibet Plateau","volume":"578","author":"Huang","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Lepp\u00e4ranta, M. (2014). Freezing of Lakes, Springer Science and Business Media LLC.","DOI":"10.1007\/978-3-642-29081-7_2"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1016\/j.rse.2008.08.013","article-title":"MODIS-derived surface temperature of the Great Salt Lake","volume":"113","author":"Crosman","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1109\/JSTARS.2014.2386333","article-title":"Validating and Mapping Surface Water Temperatures in Lake Taihu: Results from MODIS Land Surface Temperature Products","volume":"8","author":"Liu","year":"2015","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"374","DOI":"10.1016\/j.rse.2013.05.014","article-title":"Mapping surface temperature in a hyper-saline lake and investigating the effect of temperature distribution on the lake evaporation","volume":"136","author":"Sima","year":"2013","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/14\/2711\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:28:30Z","timestamp":1760164110000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/14\/2711"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,9]]},"references-count":72,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2021,7]]}},"alternative-id":["rs13142711"],"URL":"https:\/\/doi.org\/10.3390\/rs13142711","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2021,7,9]]}}}