{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:16:37Z","timestamp":1775913397314,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"19","license":[{"start":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T00:00:00Z","timestamp":1663804800000},"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":["42071089"],"award-info":[{"award-number":["42071089"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41861013"],"award-info":[{"award-number":["41861013"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2019YFE0127700"],"award-info":[{"award-number":["2019YFE0127700"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["2020KYZZ001157"],"award-info":[{"award-number":["2020KYZZ001157"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Research Program of China","award":["42071089"],"award-info":[{"award-number":["42071089"]}]},{"name":"National Key Research Program of China","award":["41861013"],"award-info":[{"award-number":["41861013"]}]},{"name":"National Key Research Program of China","award":["2019YFE0127700"],"award-info":[{"award-number":["2019YFE0127700"]}]},{"name":"National Key Research Program of China","award":["2020KYZZ001157"],"award-info":[{"award-number":["2020KYZZ001157"]}]},{"name":"Northwest Normal University Graduate Research Grant Program","award":["42071089"],"award-info":[{"award-number":["42071089"]}]},{"name":"Northwest Normal University Graduate Research Grant Program","award":["41861013"],"award-info":[{"award-number":["41861013"]}]},{"name":"Northwest Normal University Graduate Research Grant Program","award":["2019YFE0127700"],"award-info":[{"award-number":["2019YFE0127700"]}]},{"name":"Northwest Normal University Graduate Research Grant Program","award":["2020KYZZ001157"],"award-info":[{"award-number":["2020KYZZ001157"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>As an important part of the cryosphere, lake ice is a sensitive indicator of climate change. Remote sensing technology can quickly and accurately monitor the process of its formation and decay, among which Moderate Resolution Imaging Spectroradiometer (MODIS) images are the most widely used data in the remote sensing monitoring of lake ice. The reasonable selection of monitoring methods is of great significance to grasp the dynamic process and response to climate change of lake ice. In this study, five commonly used remote sensing monitoring methods of lake ice based on MODIS MOD09GA data, including the single band threshold method (SBT), reflectance difference threshold method (RDT), normalized difference snow index method (NDSI), modified normalized difference snow index method (MNDSI) and lake ice index method (LII), were selected to compare their accuracies in extracting lake ice extent by combining them with four evaluation metrics of accuracy, precision, recall and mean intersection over union (MIoU). In addition, the ability of the high-precision LII method for extracting long time series lake ice phenology and its applicability to multiple types of lakes were verified. The results showed that compared with the NDSI method, the other four methods more easily distinguished between lake ice and lake water by setting thresholds. The SBT method and the RDT method had better extraction effects in the freezing process and the melting process, respectively. Compared with the NDSI and MNDSI methods, the LII method showed a significant improvement in lake ice extraction over the entire freeze\u2013thaw cycle, with the smallest mean monitoring error of 1.53% for the percentage of lake ice area in different periods. Meanwhile, the LII method can be used to determine long term lake ice phenology dates and had good performance in extracting lake ice for different types of lakes on the Qinghai\u2013Tibet Plateau with the optimal threshold interval of 0.05~0.07, which can be used for lake ice monitoring and long-term phenological studies in this region.<\/jats:p>","DOI":"10.3390\/rs14194740","type":"journal-article","created":{"date-parts":[[2022,9,22]],"date-time":"2022-09-22T23:07:55Z","timestamp":1663888075000},"page":"4740","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Comparison of Lake Ice Extraction Methods Based on MODIS Images"],"prefix":"10.3390","volume":"14","author":[{"given":"Hongfang","family":"Zhang","sequence":"first","affiliation":[{"name":"College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China"},{"name":"Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3127-9473","authenticated-orcid":false,"given":"Xiaojun","family":"Yao","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China"},{"name":"Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China"}]},{"given":"Qixin","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China"},{"name":"Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China"}]},{"given":"Hongyu","family":"Duan","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China"},{"name":"Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China"}]},{"given":"Yuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China"},{"name":"Key Laboratory of Resource Environment and Sustainable Development of Oasis, Lanzhou 730070, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,9,22]]},"reference":[{"key":"ref_1","unstructured":"IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"6396","DOI":"10.1002\/2014GL060641","article-title":"A global inventory of lakes based on high-resolution satellite imagery","volume":"41","author":"Verpoorter","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"597","DOI":"10.18307\/2020.0301","article-title":"The role of Tibetan Plateau lakes in surface water cycle under global changes","volume":"32","author":"Zhu","year":"2020","journal-title":"J. Lake Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"2796","DOI":"10.1360\/TB-2019-0185","article-title":"Recent lake changes of the Asia Water Tower and their climate response: Progress, Problems and Prospects","volume":"64","author":"Zhu","year":"2019","journal-title":"Chin. Sci. Bull."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"165","DOI":"10.4319\/lo.1995.40.1.0165","article-title":"Changes in winter air temperatures near Lake Michigan, 1851\u20131993, as determined from regional lake-ice records","volume":"40","author":"Assel","year":"1995","journal-title":"Limnol. Oceanogr."},{"key":"ref_6","unstructured":"WMO (2006). Systematic Observation Requirements for Satellite-Based Products for Climate, WMO. GCOS-No. 107."},{"key":"ref_7","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_8","first-page":"2453","article-title":"Field observations of the bidirectional reflectance characteristics of lake ice","volume":"40","author":"Yu","year":"2020","journal-title":"Spectrosc. Spectral Anal."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1017\/aog.2019.4","article-title":"Lake ice changes in the Third Pole and the Arctic","volume":"42","author":"Wang","year":"2020","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Sharma, S., Blagrave, K., Watson, S.R., O\u2019Reilly, C.M., Batt, R., Magnuson, J.J., Clemens, T., Denfeld, B.A., Flaim, G., and Grinberga, L. (2020). Increased winter drownings in ice-covered regions with warmer winters. PLoS ONE, 15.","DOI":"10.1371\/journal.pone.0241222"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"e2020JG005799","DOI":"10.1029\/2020JG005799","article-title":"Integrating perspectives to understand lake ice dynamics in a changing world","volume":"125","author":"Sharma","year":"2020","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_12","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_13","first-page":"803","article-title":"Review of lake ice monitoring by remote sensing","volume":"29","author":"Wei","year":"2010","journal-title":"Prog. Geogr."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Han, W.X., Huang, C.L., Gu, J., Hou, J.L., and Zhang, Y. (2021). Spatial-Temporal distribution of the freez-thaw cycle of the largest lake (Qinghai Lake) in China based on Machine Learning and MODIS from 2000 to 2020. Remote Sens., 13.","DOI":"10.3390\/rs13091695"},{"key":"ref_15","first-page":"70","article-title":"Extraction and analysis of lake ice in typical lakes on the northern slopes of the Himalayas based on NPP-VIIRS data","volume":"43","author":"Sun","year":"2021","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Qi, M.M., Liu, S.Y., Yao, X.J., Xie, F.M., and Gao, Y.P. (2020). Monitoring the ice phenology of Qinghai Lake from 1980 to 2018 using multisource remote sensing data and google earth engine. Remote Sens., 12.","DOI":"10.3390\/rs12142217"},{"key":"ref_17","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","author":"Cai","year":"2017","journal-title":"Sci. Total Environ."},{"key":"ref_18","first-page":"296","article-title":"Detecting changes of ice phenology using satellite passive microwave remote sensing data in Qinghai Lake","volume":"43","author":"Wang","year":"2019","journal-title":"J. Glaciol. Geocryol."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Wakabayashi, H., Motohashi, K., and Maezawa, N. (2019, January 28). Monitoring lake ice in Northern Alaska with backscattering and interferometric approaches using Sentinel-1 SAR data. Proceedings of the IGARSS 2019\u20142019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan.","DOI":"10.1109\/IGARSS.2019.8900371"},{"key":"ref_20","first-page":"102566","article-title":"A novel method for detecting lake ice cover using optical satellite data","volume":"104","author":"Mattila","year":"2021","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1016\/j.rse.2008.07.020","article-title":"Integration of MODIS-derived metrics to assess interannual variability in snowpack, lake ice, and NDVI in southwest Alaska","volume":"113","author":"Reed","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"112616","DOI":"10.1016\/j.rse.2021.112616","article-title":"50 years of lake ice research from active microwave remote sensing: Progress and prospects","volume":"264","author":"Murfitt","year":"2021","journal-title":"Remote Sens. Environ."},{"key":"ref_23","first-page":"1241","article-title":"Lake ice change at the Nam Co Lake on the Tibetan Plateau during 2000\u20132013 and influencing factors","volume":"34","author":"Gou","year":"2015","journal-title":"Prog. Geogr."},{"key":"ref_24","first-page":"346","article-title":"Using the sea ice data of MODIS to inspect the seasonal variety of the surrounding sea ice of Zhongshan station","volume":"20","author":"Zhangxin","year":"2008","journal-title":"Chin. J. Polar Res."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"607","DOI":"10.18307\/2021.0225","article-title":"Spatiotemporal variation of ice thickness of Lake Qinghai derived from field measurements and model simulation","volume":"33","author":"Cao","year":"2021","journal-title":"J. Lake Sci."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Zhang, X., Wang, K., and Kirillin, G. (2021). An automatic method to detect lake ice phenology using MODIS daily temperature imagery. Remote Sens., 13.","DOI":"10.3390\/rs13142711"},{"key":"ref_27","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_28","doi-asserted-by":"crossref","first-page":"816","DOI":"10.1002\/2013JD020459","article-title":"Snow and ice products from Suomi NPP VIIRS","volume":"118","author":"Key","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"573","DOI":"10.18307\/2020.0225","article-title":"Dynamic change of Lake Qinghai shoreline from 1973 to 2018","volume":"32","author":"Qi","year":"2020","journal-title":"J. Lake Sci."},{"key":"ref_30","first-page":"932","article-title":"Spatial-temporal characteristics of ice phenology of Lake Qinghai from 2000 to 2016","volume":"73","author":"Qi","year":"2018","journal-title":"J. Geogr. Sci."},{"key":"ref_31","first-page":"17","article-title":"A dataset of lake ice phenology in Qinghai Lake from 2000 to 2018","volume":"3","author":"Qi","year":"2018","journal-title":"China Sci. Data"},{"key":"ref_32","first-page":"499","article-title":"Influence of watershed hydrothermal conditions and vegetation status on lake level of Qinghai Lake","volume":"42","author":"Li","year":"2019","journal-title":"Arid Land Geogr."},{"key":"ref_33","first-page":"1081","article-title":"Spectral features analysis of sea ice in the Arctic Ocean","volume":"32","author":"Ke","year":"2012","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_34","unstructured":"Riggs, G.A., Hall, D.K., and Salomonson, V.V. (1994, January 8\u201312). A snow index for the Landsat Thematic Mapper and Moderate Resolution Imaging Spectroradiometer. Proceedings of the IGARSS 1994-1994 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/0034-4257(95)00137-P","article-title":"Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer Data","volume":"54","author":"Hall","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1747","DOI":"10.1109\/TGRS.2006.876029","article-title":"Development of the Aqua MODIS NDSI fractional snow cover algorithm and validation results","volume":"44","author":"Salomonson","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_37","unstructured":"Li, X.F. (2018). The Development and Application of the Monitoring Method of Lake Ice Based on MODIS Images, A Case of the Qinghai-Tibet Plateau. [Master\u2019s Thesis, Northwest Normal University]."},{"key":"ref_38","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_39","first-page":"10773","article-title":"Rapid and highly variable warming of lake surface waters around the globe","volume":"42","author":"Sharma","year":"2015","journal-title":"Geophys. Res. Lett."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"e2021EA001973","DOI":"10.1029\/2021EA001973","article-title":"Strong warming rates in the surface and bottom layers of a boreal lake: Results from approximately six decades of measurements (1964\u20132020)","volume":"9","author":"Noori","year":"2022","journal-title":"Earth Space Sci."},{"key":"ref_41","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_42","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1016\/j.scib.2021.10.015","article-title":"The state and fate of lake ice thickness in the Northern Hemisphere","volume":"67","author":"Li","year":"2022","journal-title":"Sci. Bull."},{"key":"ref_43","first-page":"18","article-title":"Lake ice: Winter, beauty, value, changes, and a threatened future","volume":"43","author":"Magnuson","year":"2014","journal-title":"LakeLine"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"155517","DOI":"10.1016\/j.scitotenv.2022.155517","article-title":"What caused the spatial heterogeneity of lake ice phenology changes on the Tibetan Plateau?","volume":"836","author":"Cai","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1002\/lno.11656","article-title":"Drivers and projections of ice phenology in mountain lakes in the western united states","volume":"66","author":"Caldwell","year":"2021","journal-title":"Limnol. Oceanogr."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Solarski, M., and Rzetala, M. (2022). Determinants of spatial variability of ice thickness in lakes in high mountains of the temperate zone\u2014The case of the Tatra Mountains. Water, 14.","DOI":"10.3390\/w14152360"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"675216","DOI":"10.3389\/feart.2021.675216","article-title":"Changes in the thickness of ice cover on water bodies subject to human pressure (Silesian Upland, Southern Poland)","volume":"9","author":"Solarski","year":"2021","journal-title":"Front. Earth Sci."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1134\/S0097807810050064","article-title":"Hydrophysical aspects of oxygen regime formation in a shallow ice-covered lake","volume":"37","author":"Terzhevik","year":"2010","journal-title":"Water Resour."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1007\/s00027-020-0699-z","article-title":"Water column changes under ice during different winters in a mid-latitude Mediterranean high mountain lake","volume":"82","author":"Granados","year":"2020","journal-title":"Aquat. Sci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2767","DOI":"10.1002\/hyp.8098","article-title":"Ice-covered lakes: Environment and climate\u2014Required research","volume":"25","author":"Bengtsson","year":"2011","journal-title":"Hydrol. Process"},{"key":"ref_51","first-page":"201","article-title":"Monitoring ice phenology variations in Khanka Lake based on passive remote sensing data from 1979 to 2019","volume":"26","author":"Ke","year":"2022","journal-title":"Natl. Remote Sens. Bull."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/19\/4740\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:37:32Z","timestamp":1760143052000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/19\/4740"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,22]]},"references-count":51,"journal-issue":{"issue":"19","published-online":{"date-parts":[[2022,10]]}},"alternative-id":["rs14194740"],"URL":"https:\/\/doi.org\/10.3390\/rs14194740","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,22]]}}}