Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review
文献类型：期刊论文
| 作者 | Ye, Qinghua8,9; Wang, Yuzhe7; Liu, Lin6; Guo, Linan9; Zhang, Xueqin8; Dai, Liyun5; Zhai, Limin3,4; Hu, Yafan3,9; Ali, Nauman3,9; Ji, Xinhui3,9 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024-05-01 |
| 卷号 | 16期号:10页码:1709 |
| 关键词 | glacier inventory snow depth frozen soil surface freeze-thaw state rock glacier Aufeis lake ice thickness hazard disaster hydrology process water cycle Asian Water Tower the Third Pole the Tibetan Plateau (TP) the Qinghai-Tibet Plateau (QTP) the High Mountain Asia (HMA) |
| DOI | 10.3390/rs16101709 |
| 产权排序 | 2 |
| 文献子类 | Review |
| 英文摘要 | Over the past decades, the cryosphere has changed significantly in High Mountain Asia (HMA), leading to multiple natural hazards such as rock-ice avalanches, glacier collapse, debris flows, landslides, and glacial lake outburst floods (GLOFs). Monitoring cryosphere change and evaluating its hydrological effects are essential for studying climate change, the hydrological cycle, water resource management, and natural disaster mitigation and prevention. However, knowledge gaps, data uncertainties, and other substantial challenges limit comprehensive research in climate-cryosphere-hydrology-hazard systems. To address this, we provide an up-to-date, comprehensive, multidisciplinary review of remote sensing techniques in cryosphere studies, demonstrating primary methodologies for delineating glaciers and measuring geodetic glacier mass balance change, glacier thickness, glacier motion or ice velocity, snow extent and water equivalent, frozen ground or frozen soil, lake ice, and glacier-related hazards. The principal results and data achievements are summarized, including URL links for available products and related data platforms. We then describe the main challenges for cryosphere monitoring using satellite-based datasets. Among these challenges, the most significant limitations in accurate data inversion from remotely sensed data are attributed to the high uncertainties and inconsistent estimations due to rough terrain, the various techniques employed, data variability across the same regions (e.g., glacier mass balance change, snow depth retrieval, and the active layer thickness of frozen ground), and poor-quality optical images due to cloudy weather. The paucity of ground observations and validations with few long-term, continuous datasets also limits the utilization of satellite-based cryosphere studies and large-scale hydrological models. Lastly, we address potential breakthroughs in future studies, i.e., (1) outlining debris-covered glacier margins explicitly involving glacier areas in rough mountain shadows, (2) developing highly accurate snow depth retrieval methods by establishing a microwave emission model of snowpack in mountainous regions, (3) advancing techniques for subsurface complex freeze-thaw process observations from space, (4) filling knowledge gaps on scattering mechanisms varying with surface features (e.g., lake ice thickness and varying snow features on lake ice), and (5) improving and cross-verifying the data retrieval accuracy by combining different remote sensing techniques and physical models using machine learning methods and assimilation of multiple high-temporal-resolution datasets from multiple platforms. This comprehensive, multidisciplinary review highlights cryospheric studies incorporating spaceborne observations and hydrological models from diversified techniques/methodologies (e.g., multi-spectral optical data with thermal bands, SAR, InSAR, passive microwave, and altimetry), providing a valuable reference for what scientists have achieved in cryosphere change research and its hydrological effects on the Third Pole. |
| WOS关键词 | LAKE ICE PHENOLOGY ; SURGE-TYPE GLACIERS ; SNOW WATER EQUIVALENT ; PERMAFROST THERMAL STATE ; DEBRIS-COVERED GLACIERS ; CENTRAL TIBETAN PLATEAU ; CLIMATE-CHANGE IMPACTS ; DEEP-LEARNING APPROACH ; NORTHERN TIEN-SHAN ; SUB-ARCTIC LAKES |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS记录号 | WOS:001231396700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205392]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhu, Liping |
| 作者单位 | 1.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China 2.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China 6.Chinese Univ Hong Kong, Fac Sci, Earth & Environm Sci Programme, Hong Kong 999077, Peoples R China 7.Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 9.Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Environm, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ye, Qinghua,Wang, Yuzhe,Liu, Lin,et al. Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review[J]. REMOTE SENSING,2024,16(10):1709. |
| APA | Ye, Qinghua.,Wang, Yuzhe.,Liu, Lin.,Guo, Linan.,Zhang, Xueqin.,...&Zhu, Liping.(2024).Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review.REMOTE SENSING,16(10),1709. |
| MLA | Ye, Qinghua,et al."Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review".REMOTE SENSING 16.10(2024):1709. |
入库方式： OAI收割
来源：地理科学与资源研究所
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