{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T22:40:24Z","timestamp":1776465624621,"version":"3.51.2"},"reference-count":69,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T00:00:00Z","timestamp":1604102400000},"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":["41771373, 41971325"],"award-info":[{"award-number":["41771373, 41971325"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Science &amp; Technology Basic Resources Investigation Program of China","award":["2017FY100500"],"award-info":[{"award-number":["2017FY100500"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Seasonal snow cover is closely related to regional climate and hydrological processes. In this study, Moderate Resolution Imaging Spectroradiometer (MODIS) daily snow cover products from 2001 to 2018 were applied to analyze the snow cover variation in northern Xinjiang, China. As cloud obscuration causes significant spatiotemporal discontinuities in the binary snow cover extent (SCE), we propose a conditional probability interpolation method based on a space-time cube (STCPI) to remove clouds completely after combining Terra and Aqua data. First, the conditional probability that the central pixel and every neighboring pixel in a space-time cube of 5 \u00d7 5 \u00d7 5 with the same snow condition is counted. Then the snow probability of the cloud pixels reclassified as snow is calculated based on the space-time cube. Finally, the snow condition of the cloud pixels can be recovered by snow probability. The validation experiments with the cloud assumption indicate that STCPI can remove clouds completely and achieve an overall accuracy of 97.44% under different cloud fractions. The generated daily cloud-free MODIS SCE products have a high agreement with the Landsat\u20138 OLI image, for which the overall accuracy is 90.34%. The snow cover variation in northern Xinjiang, China, from 2001 to 2018 was investigated based on the snow cover area (SCA) and snow cover days (SCD). The results show that the interannual change of SCA gradually decreases as the elevation increases, and the SCD and elevation have a positive correlation. Furthermore, the interannual SCD variation shows that the area of increase is higher than that of decrease during the 18 years.<\/jats:p>","DOI":"10.3390\/rs12213577","type":"journal-article","created":{"date-parts":[[2020,10,31]],"date-time":"2020-10-31T21:39:56Z","timestamp":1604180396000},"page":"3577","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0192-3865","authenticated-orcid":false,"given":"Siyong","family":"Chen","sequence":"first","affiliation":[{"name":"College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Guo","sequence":"additional","affiliation":[{"name":"College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peiyao","family":"Xie","sequence":"additional","affiliation":[{"name":"College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[{"name":"Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"},{"name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaohua","family":"Hao","sequence":"additional","affiliation":[{"name":"Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,10,31]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1016\/j.earscirev.2018.12.018","article-title":"The Tibetan Plateau cryosphere: Observations and model simulations for current status and recent changes","volume":"190","author":"Yang","year":"2019","journal-title":"Earth Sci. Rev."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"015101","DOI":"10.1088\/1748-9326\/5\/1\/015101","article-title":"Review of climate and cryospheric change in the Tibetan Plateau","volume":"5","author":"Kang","year":"2010","journal-title":"Environ. Res. Lett."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1007\/s00376-008-0164-8","article-title":"Progress on observation of cryospheric components and climate-related studies in China","volume":"25","author":"Xiao","year":"2008","journal-title":"Adv. Atmos. Sci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.atmosres.2018.11.018","article-title":"Spatiotemporal changes in snow cover over China during 1960\u20132013","volume":"218","author":"Tan","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2124","DOI":"10.1175\/2008JCLI2665.1","article-title":"The Response of Northern Hemisphere Snow Cover to a Changing Climate","volume":"22","author":"Brown","year":"2009","journal-title":"J. Clim."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.rse.2016.12.028","article-title":"Impact of climate and elevation on snow cover using integrated remote sensing snow products in Tibetan Plateau","volume":"190","author":"Huang","year":"2017","journal-title":"Remote Sens. Environ."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s10584-005-5360-2","article-title":"Sensitivity analysis of snow cover to climate change scenarios and their impact on plant habitats in alpine terrain","volume":"72","author":"Keller","year":"2005","journal-title":"Clim. Chang."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"3247","DOI":"10.1002\/hyp.10427","article-title":"Evaluation of snow products over the Tibetan Plateau","volume":"29","author":"Yang","year":"2015","journal-title":"Hydrol. Process."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1038\/nature04141","article-title":"Potential impacts of a warming climate on water availability in snow-dominated regions","volume":"438","author":"Barnett","year":"2005","journal-title":"Nature"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Zhang, G.Q., Xie, H.J., Yao, T.D., Liang, T.G., and Kang, S.C. (2012). Snow cover dynamics of four lake basins over Tibetan Plateau using time series MODIS data (2001\u20132010). Water Resour. Res., 48.","DOI":"10.1029\/2012WR011971"},{"key":"ref_11","first-page":"49","article-title":"IPCC Special Report on the Ocean and Cryosphere in a Changing Climate","volume":"67","author":"Mingle","year":"2020","journal-title":"N. Y. Rev. Books"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"287","DOI":"10.2151\/jmsj.2017-016","article-title":"Defining Indices for the Extreme Snowfall Events and Analyzing their Trends in Northern Xinjiang, China","volume":"95","author":"Wang","year":"2017","journal-title":"J. Meteorol. Soc. Jpn. Ser. II"},{"key":"ref_13","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_14","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1016\/j.asr.2011.12.021","article-title":"A review of global satellite-derived snow products","volume":"50","author":"Frei","year":"2012","journal-title":"Adv. Space Res."},{"key":"ref_15","first-page":"337","article-title":"Snow cover variability in Lithuania over the last 50 years and its relationship with large-scale atmospheric circulation","volume":"19","author":"Egidijus","year":"2014","journal-title":"Boreal Environ. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"045026","DOI":"10.1088\/1748-9326\/4\/4\/045026","article-title":"Changes in snow cover over Northern Eurasia in the last few decades","volume":"4","author":"Bulygina","year":"2009","journal-title":"Environ. Res. Lett."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"2129","DOI":"10.1002\/hyp.6205","article-title":"Snowmelt contribution to discharge from a large mountainous catchment in subarctic Canada","volume":"20","author":"Woo","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Pu, Z., Xu, L., and Salomonson, V.V. (2007). MODIS\/Terra observed seasonal variations of snow cover over the Tibetan Plateau. Geophys. Res. Lett., 34.","DOI":"10.1029\/2007GL029262"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1029\/RG022i002p00195","article-title":"An Overview of Passive Microwave Snow Research and Results","volume":"22","author":"Foster","year":"1984","journal-title":"Rev. Geophys."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/S0034-4257(99)00099-1","article-title":"Utilizing Multiple Datasets for Snow-Cover Mapping","volume":"72","author":"Tait","year":"2000","journal-title":"Remote Sens. Environ."},{"key":"ref_21","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_22","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/S0034-4257(03)00097-X","article-title":"Validation of daily MODIS snow cover maps of the Upper Rio Grande River Basin for the 2000\u20132001 snow year","volume":"86","author":"Klein","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1002\/hyp.1193","article-title":"Evaluation of the snow-covered area data product from MODIS","volume":"17","author":"Maurer","year":"2003","journal-title":"Hydrol. Process."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1080\/01431160903439924","article-title":"Validation of MODIS snow cover products using Landsat and ground measurements during the 2001\u20132005 snow seasons over northern Xinjiang, China","volume":"32","author":"Huang","year":"2011","journal-title":"Int. J. Remote Sens."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.advwatres.2012.03.002","article-title":"Assessment of methods for mapping snow cover from MODIS","volume":"51","author":"Rittger","year":"2013","journal-title":"Adv. Water Resour."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1514","DOI":"10.1016\/j.rse.2007.06.001","article-title":"An application of MODIS data to snow cover monitoring in a pastoral area: A case study in Northern Xinjiang, China","volume":"112","author":"Liang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/j.jhydrol.2010.01.022","article-title":"Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra-Aqua MODIS and Aqua AMSR-E measurements","volume":"385","author":"Gao","year":"2010","journal-title":"J. Hydrol."},{"key":"ref_28","first-page":"116","article-title":"A new MODIS daily cloud free snow cover mapping algorithm on the Tibetan Plateau","volume":"6","author":"Huang","year":"2014","journal-title":"Sci. Cold Arid Reg."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"3750","DOI":"10.1016\/j.rse.2008.05.010","article-title":"Toward improved daily snow cover mapping with advanced combination of MODIS and AMSR-E measurements","volume":"112","author":"Liang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"2171","DOI":"10.1109\/TGRS.2015.2496950","article-title":"Developing Daily Cloud-Free Snow Composite Products From MODIS Terra\u2013Aqua and IMS for the Tibetan Plateau","volume":"54","author":"Yu","year":"2016","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_31","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_32","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, X., Liang, H., Sun, Y., Feng, Q., and Liang, T. (2018). Tracking Snow Variations in the Northern Hemisphere Using Multi-Source Remote Sensing Data (2000\u20132015). Remote Sens., 10.","DOI":"10.3390\/rs10010136"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1080\/17538947.2017.1421721","article-title":"Accuracy assessment of four cloud-free snow cover products over the Qinghai-Tibetan Plateau","volume":"12","author":"Hao","year":"2019","journal-title":"Int. J. Digit. Earth"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Parajka, J., and Bl\u00f6schl, G. (2008). Spatio-temporal combination of MODIS images\u2014Potential for snow cover mapping. Water Resour. Res., 44.","DOI":"10.1029\/2007WR006204"},{"key":"ref_35","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_36","doi-asserted-by":"crossref","first-page":"1234","DOI":"10.1016\/j.rse.2011.01.006","article-title":"Monitoring snow cover variability in an agropastoral area in the Trans Himalayan region of Nepal using MODIS data with improved cloud removal methodology","volume":"115","author":"Paudel","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Kilpys, J., Pipirait\u0117-Janu\u0161kien\u0117, S., and Rimkus, E. (2020). Snow climatology in Lithuania based on the cloud-free moderate resolution imaging spectroradiometer snow cover product. Int. J. Climatol.","DOI":"10.1002\/joc.6483"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1515","DOI":"10.1016\/j.advwatres.2008.08.011","article-title":"Time-space continuity of daily maps of fractional snow cover and albedo from MODIS","volume":"31","author":"Dozier","year":"2008","journal-title":"Adv. Water Resour."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1016\/j.rse.2017.10.001","article-title":"Improving MODIS snow products with a HMRF-based spatio-temporal modeling technique in the Upper Rio Grande Basin","volume":"204","author":"Huang","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/j.rse.2016.09.019","article-title":"Producing cloud-free MODIS snow cover products with conditional probability interpolation and meteorological data","volume":"186","author":"Dong","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"451","DOI":"10.5194\/tc-9-451-2015","article-title":"Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data","volume":"9","author":"Gafurov","year":"2015","journal-title":"Cryosphere"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1007\/s00704-019-02994-7","article-title":"Spatiotemporal variability of snowfall and its concentration in northern Xinjiang, Northwest China","volume":"139","author":"Yang","year":"2019","journal-title":"Theor. Appl. Climatol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"e8861","DOI":"10.7717\/peerj.8861","article-title":"Temporal and spatial variability in snow cover over the Xinjiang Uygur Autonomous Region, China, from 2001 to 2015","volume":"8","author":"Chen","year":"2020","journal-title":"PeerJ"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Tang, Z., Wang, X., Wang, J., Wang, X., Li, H., and Jiang, Z. (2017). Spatiotemporal Variation of Snow Cover in Tianshan Mountains, Central Asia, Based on Cloud-Free MODIS Fractional Snow Cover Product, 2001\u20132015. Remote Sens., 9.","DOI":"10.3390\/rs9101045"},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Yang, T., Li, Q., Ahmad, S., Zhou, H., and Li, L. (2019). Changes in Snow Phenology from 1979 to 2016 over the Tianshan Mountains, Central Asia. Remote Sens., 11.","DOI":"10.3390\/rs11050499"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"104813","DOI":"10.1016\/j.atmosres.2019.104813","article-title":"Climate and topographic controls on snow phenology dynamics in the Tienshan Mountains, Central Asia","volume":"236","author":"Li","year":"2020","journal-title":"Atmos. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/0034-4257(89)90101-6","article-title":"Spectral Signature of Alpine Snow Cover from the Landsat Thematic Mapper","volume":"28","author":"Dozier","year":"1989","journal-title":"Remote Sens. Environ."},{"key":"ref_48","unstructured":"Riggs, G.A., Hall, D.K., and Rom\u00e1n, M.O. (2015). MODIS Snow Products Collection 6 User Guide, National Snow and Ice Data Center."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"4174","DOI":"10.1080\/01431161.2020.1714778","article-title":"Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines","volume":"41","author":"Avanzi","year":"2020","journal-title":"Int. J. Remote Sens."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2712","DOI":"10.1016\/j.scitotenv.2018.10.128","article-title":"Ground-based evaluation of MODIS snow cover product V6 across China: Implications for the selection of NDSI threshold","volume":"651","author":"Zhang","year":"2019","journal-title":"Sci. Total Environ."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Hou, J., Huang, C., Zhang, Y., Guo, J., and Gu, J. (2019). Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques. Remote Sens., 11.","DOI":"10.3390\/rs11010090"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"2251","DOI":"10.1109\/JSTARS.2020.2993037","article-title":"Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series","volume":"13","author":"Chen","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_53","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_54","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/S0034-4257(02)00098-6","article-title":"Subpixel mapping of snow cover in forests by optical remote sensing","volume":"84","author":"Dagrun","year":"2003","journal-title":"Remote Sens. Environ."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"1723","DOI":"10.1002\/(SICI)1099-1085(199808\/09)12:10\/11<1723::AID-HYP691>3.0.CO;2-2","article-title":"Improving snow cover mapping in forests through the use of a canopy reflectance model","volume":"12","author":"Klein","year":"1998","journal-title":"Hydrol. Process."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1109\/JSTARS.2018.2810094","article-title":"Snow Cover Mapping for Complex Mountainous Forested Environments Based on a Multi-Index Technique","volume":"11","author":"Wang","year":"2018","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Mets\u00e4m\u00e4ki, S., Mattila, O.-P., and Niemi, K. (2012, January 22\u201327). Continental use of SCAmod fractional snow cover mapping method in boreal forest and tundra belt. Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany.","DOI":"10.1109\/IGARSS.2012.6351093"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1016\/j.rse.2009.01.001","article-title":"Retrieval of subpixel snow covered area, grain size, and albedo from MODIS","volume":"113","author":"Painter","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1109\/JSTARS.2018.2879666","article-title":"Assessment of MODIS-Based Fractional Snow Cover Products over the Tibetan Plateau","volume":"12","author":"Hao","year":"2019","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"1467","DOI":"10.1109\/JSTARS.2020.2983550","article-title":"An Assessment and Error Analysis of MOD10A1 Snow Product Using Landsat and Ground Observations over China During 2000\u20132016","volume":"13","author":"Liu","year":"2020","journal-title":"IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1007\/s11769-018-1002-2","article-title":"Detecting Global Vegetation Changes Using Mann-Kendal (MK) Trend Test for 1982\u20132015 Time Period","volume":"28","author":"Guo","year":"2018","journal-title":"Chin. Geogr. Sci."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"4719","DOI":"10.1007\/s10661-014-3733-6","article-title":"Mann-Kendall trend of pollutants, temperature and humidity over an urban station of India with forecast verification using different ARIMA models","volume":"186","author":"Chaudhuri","year":"2014","journal-title":"Environ. Monit. Assess."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Raj, B., and Koerts, J. (1992). A Rank-Invariant Method of Linear and Polynomial Regression Analysis. Henri Theil\u2019s Contributions to Economics and Econometrics, Springer. Advanced Studies in Theoretical and Applied Econometrics.","DOI":"10.1007\/978-94-011-2546-8"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"5873","DOI":"10.1175\/JCLI-D-17-0428.1","article-title":"Historical and Future Changes of Snowfall Events in China under a Warming Background","volume":"31","author":"Zhou","year":"2018","journal-title":"J. Clim."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Li, Q., Yang, T., Qi, Z., and Li, L. (2018). Spatiotemporal Variation of Snowfall to Precipitation Ratio and Its Implication on Water Resources by a Regional Climate Model over Xinjiang, China. Water, 10.","DOI":"10.3390\/w10101463"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"149","DOI":"10.3189\/1998AoG26-1-149-155","article-title":"Deternlination of snow-covered area in different land covers in central Alaska, U.S.A., from aircraft data\u2014April 1995","volume":"26","author":"Hall","year":"1998","journal-title":"Ann. Glaciol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"432","DOI":"10.1109\/36.905251","article-title":"Development of a technique to assess snow-cover mapping errors from space","volume":"39","author":"Hall","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1016\/j.jhydrol.2017.05.049","article-title":"Monitoring snow cover variability (2000\u20132014) in the Hengduan Mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method","volume":"551","author":"Li","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"266","DOI":"10.1029\/2018EA000460","article-title":"Developing Daily Cloud-Free Snow Composite Products From MODIS and IMS for the Tienshan Mountains","volume":"6","author":"Li","year":"2019","journal-title":"Earth Space Sci."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/21\/3577\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T10:27:45Z","timestamp":1760178465000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/21\/3577"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,31]]},"references-count":69,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2020,11]]}},"alternative-id":["rs12213577"],"URL":"https:\/\/doi.org\/10.3390\/rs12213577","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10,31]]}}}