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[16] MODIS fractional snow cover mapping using machine learning technology in a mountainous area.Remote Sensing.2020(12)
[17] Retrieving Snow Depth Information From AMSR2 Data for Qinghai–Tibet Plateau.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2020(13)
[18] 青藏高原积雪范围和雪深/雪水当量遥感反演研究进展及挑战.冰川冻土.2019,41(5):1138-1149
[19] AMSR2 snow depth downscaling algorithm based on a multifactor approach over the Tibetan Plateau, China.Remote Sensing of Environment.2019(231)
[20] Tracking Snow Variations in the Northern Hemisphere Using Multi-Source Remote Sensing Data (2000–2015)-1.Remote Sensing.2018,10(1)
[21] Fractional Snow-Cover Mapping Based on MODIS and UAV Data over the Tibetan Plateau.Remote Sensing.2017,9(12)
[22] Snow Disaster Early Warning in Pastoral Areas of Qinghai Province, China.Remote Sensing.2017(9)
[23] Impact of climate and elevation on snow cover using integrated remote sensing snow products in Tibetan Plateau.Remote Sensing of Environment.2017,190(-):274-288
[24] Spatiotemporal dynamics of snow cover based on multi-source remote sensing data in China.CRYOSPHERE.2016,10(5)
[25] Toward Improved Daily Cloud-Free Fractional Snow Cover Mapping with Multi-Source Remote Sensing Data in China.Remote Sensing.2015(7)
[26] Fractional snow-cover mapping using an improved endmember extraction algorithm.Journal of Applied Remote Sensing.2014(8)
[27] A new MODIS daily cloud free snow cover mapping algorithm on the Tibetan Plateau.Sciences in Cold and Arid Regions.2014,6(2):0116-0123
[28] A novel solution for outlier removal of ICESat altimetry data: a case study in the Yili watershed, China.Frontiers of Earth Science.2013,7(2):217-226
[29] MODIS逐日积雪产品去云算法研究.冰川冻土.2012,34(5)
[30] 光学积雪遥感研究进展.草业科学.2012,29(1):35-43
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