主持项目：

♦国家自然科学基金面上项目“基于时序遥感数据的亚洲高山区冰川跃动模式研究”（42571166）负责人（2026-2029）

    建立量化提取跃动冰川运动特征新方法，构建基于时空双重注意力机制和物理约束的深度学习模型，研究冰川跃动的影响因素及时空异质性，建立亚洲高山区冰川跃动模式。

♦揭榜挂帅“应用先导”项目“极地冰川遥感应用探索”负责人（2025-2026）

    建立极地典型地区流速时序数据集，支撑冰体崩解形成冰山的风险预警；探索冰山水下特征探测的最佳偏振波段组合，实现极区冰山、海冰的精准测绘，量化评估北极航道关键指标。

♦中国科学院国际伙伴计划培育专项竞争性项目“开放科学云基础设施关键技术研究”负责人（2025）

    围绕地球科学应用验证场景和技术实践调研积累，围绕跨洲际跨数据中心的资源管理和共享技术主题，经论证形成开放科学云基础设施的参考框架。

♦揭榜挂帅“应用先导”项目“全球跃动冰川表面高程变化监测”负责人（2024-2025）

    基于大幅宽高时空分辨率光学卫星立体像对影像的数字高程模型（DEM）提取技术，实现覆盖全球范围的跃动冰川高程变化监测。

♦新疆昌吉州水利局竞争性项目“昌吉州主要河流冰川资源现状、变化及其对水资源的影响研究项目”课题负责人（2024-2025）

    开展区域冰川流动稳定性调研评估，提取昌吉州过去20余年冰川流速数据，调查评估冰川流动稳定性，为冰川相关灾害的预防提供参考资料。

♦中国科学院战略性先导科技专项（A类）子课题“海洋及冰川环境观测卫星任务预先研究”（XDA19090143）负责人（2022-2022）

    论证与SDG相关的海洋环境及冰川环境中的科学问题的空间观测能力，明确科学问题对应的地物观测指标，设计观测对应地物指标的卫星载荷配置方案，提出潜在的海洋及冰川环境研究的应用方案，以及预期的数据产品。

♦国家自然科学基金青年科学基金项目“帕米尔高原冰川跃动特征及其影响因素的多源遥感研究”（42101124） 负责人（2022-2024）

    开展帕米尔地区跃动特征与各类环境因素的相关性分析，确认潜在的影响因素，尝试建立不同因素引起或控制的跃动模式。

参与项目：
♦国家重点研发计划“小岛屿发展中国家可持续发展目标空间监测与评估关键技术合作研究及示范应用”（2025YFE0202800）课题负责人（2026-2028）

♦国家自然科学基金重点项目“基于地球大数据的多SDGs目标协同实现路径与综合评估方法研究”（W2412136）课题联合负责人（2025-2027）

♦国家重点研发计划“月基SAR对地全球尺度透视观测方案研究”（2022YFB3902100）项目骨干（2022-2025）

♦国家自然科学基金面上项目“三极植被的光保护遥感监测及气候变化适应性对比研究”（42276241）参与（2023-2026）

♦国家自然科学基金重大项目“地球宏观科学现象的月基观测研究”（41590853）参与（2016-2021）

♦中国科学院国际合作计划中美合作项目：空间观测高亚洲地区冰川变化及相关灾害研究 （131211KYSB20150035）参与（2016-2019）

♦中国科学院战略性先导科技专项（A类）“三极冰川变化及气溶胶影响遥感对比研究”（XDA19070202）参与（2017-2022）

 发表文章列表：

[1]Lv, M., Lu, X., Guo, H., Liu, G.*, Ding, Y., Ruan, Z., Ren, Y. and Yan, S. (2016) A rapid glacier surge on Mount Tobe Feng, western China, 2015. Journal of Glaciology, -1(232), 1-3.

[2]Lv, M., Guo, H., Lu, X., Liu, G.*, Yan, S., Ruan, Z., Ding, Y. and Quincey, D.J. (2019) Characterizing the behaviour of surge-and non-surge-type glaciers in the Kingata Mountains, eastern Pamir, from 1999 to 2016. The Cryosphere, 13(1), 219-236.

[3]Lv, M.*, Quincey, D.J., Guo, H., King, O., Liu, G., Yan, S., Lu, X. and Ruan, Z. (2020) Examining geodetic glacier mass balance in the eastern Pamir transition zone. Journal of Glaciology, 1-11.

[4]Lv, M., Guo, H., Yan, J., Wu, K., Liu, G., Lu, X. Ruan, Z., and Yan, S.* (2020) Distinguishing glaciers between surging and advancing by remote sensing: a case study in the eastern Karakoram. Remote Sensing, 12(14), 2297.

[5]吕明阳*,郭华东,闫世勇,李冠宇,蒋迪,张豪磊,张子彦(2022)基于高程变化及遥感影像的高亚洲地区跃动冰川数据集.中国科学数据, 7(2), 144-160.

[6]Li, G., Lv, M.*, Quincey, D., Taylor, L., Li, X., Yan, S., Sun, Y. and Guo, H. (2023) Characterizing the surge behaviour and associated ice-dammed lake evolution of the Kyagar Glacier in the Karakoram. The Cryosphere, 17(7), 2891-2907.

[7]Wang, L., Lv, M.*, Dou, C., Cao, Y., Carver, S., Lu, X., Dong, S., Deng, S. and Guo, H. (2025) Evaluating the wilderness status of long-distance trails in the United States - Exploring the potential of SDGSAT-1 glimmer imager data. Remote Sensing of Environment, 316, 114499.

[8]Tan, P., Lv, M.*, Guo, H.*, Dou, C., Ding, H., Li, J., Fang, Y., Chen, G. and Song, D. (2025) A Misalignments Correction Method for SDGSAT-1 Glimmer Imagery Based on Object Detection and Cross Correlation. IEEE Transactions on Geoscience and Remote Sensing, 63, 5630013.

[9]Tan, P., Lv, M.*, Guo, H.*, Dou, C., Jin, X. and Li, W. (2025). Evaluating the Nighttime Human Activity in Green Spaces among Three Major Urban Agglomerations in China Using Green Lighting Index. Revue Internationale de Géomatique, 34(1), 169-185.

[10] Lovell, H.*, Benn, D., Jiskoot, H., Stokes, C., Flowers, G., Guillet, G., Mannerfelt, E., Falaschi, D., Kääb, A., King, O., Benediktsson, Í., Bhambri, R., Lv, M., Muhammad, S., Luckman, A. (2026). Glacier surging and surge-related hazards in a changing climate. Nature Reviews Earth and Environment, Accepted on Dec. 2025.

[11]张齐民,吕明阳,闫世勇* (2021)基于高分三号影像的2019–2020年高亚洲地区典型冰川表面流速数据集.中国科学数据, 6(3), 144-160.

[12]Yan, J., Lv, M., Ruan, Z., Yan, S. and Liu, G.* (2019) Evolution of Surge-Type Glaciers in the Yangtze River Headwater Using Multi-Source Remote Sensing Data. Remote Sensing, 11(24).

[13]Kargel, J.S., Leonard, G.J., Shugar, D.H., et al.(2016) Geomorphic and geologic controls of geohazards induced by Nepal’s 2015 Gorkha earthquake. Science, 351(6269), aac8353.

[14]Guillet, G.*, King, O., Lv, M., Ghuffar, S., Benn, D., Quincey, D. and Bolch, T. (2022) A regionally resolved inventory of High Mountain Asia surge-type glaciers, derived from a multi-factor remote sensing approach. The Cryosphere, 16(1), 603-623.

[15]Zhang, Q., Zhang, L., Lv, M., Sun, Y, and Yan, S.*(2021) The south inylchek glacier activity analysis over a ten-year interval in surface velocity with multi-source spaceborne imagery. Environmental Earth Sciences, 80, 749.

[16]Chen, G.*, Ding, Y., Lv, M., Guo, H. and Wu, J. (2022) A Two-dimensional Attitude Steering Method to Compensate for the Doppler Centroid in Moon-based SAR. IOP Conf. Ser.: Earth Environmental Science, 1004, 012011.

[17]Yan, S., Li, Y., Ruan, Z., Lv, M., Liu, G.*and Deng, K. (2017) Wavelet-Based Topographic Effect Compensation in Accurate Mountain Glacier Velocity Extraction: A Case Study of the Muztagh Ata Region, Eastern Pamir. Remote Sensing, 9(7), 697.

[18]Murodov, M., Li, L.*, Safarov, M., Lv, M., Murodov, A., Gulakhmadov, A., Khusrav, K. and Qiu, Y. (2024) A Comprehensive Examination of the Medvezhiy Glacier’s Surges in West Pamir (1968–2023). Remote Sensing, 16, 1730.

[19]Yang, B., Liang, S.*, Guo, H., Li, X.*, Lv, M., Marinsek, S. and Li, Z. (2023) Suitability analysis of human activities over Antarctic ice shelves: an integrated assessment of natural conditions based on machine learning algorithms. International Journal of Digital Earth, 16(2), 4906-4928.

[20]Chen, G., Guo, H., Wu, W., Jiang, H., Lv, M., Zhang, K., Han, C. and Ding, Y.* (2023) Spatiotemporal characteristics of near-earth object monitoring from a moon-based station: case from 1962 to 2020 in CNEOS. Remote Sensing Letters, 14(4), 423–432.

[21]Liu, G.*, Guo, H., Yan, S., Song, R., Ruan, Z. and Lv, M.(2017) Revealing the surge behaviour of the Yangtze River headwater glacier during 1989–2015 with TanDEM-X and Landsat images. Journal of Glaciology, 63(238), 382-386.

[22]Yan, S., Ruan, Z., Liu, G.*, Deng, K., Lv, M. and Perski, Z. (2016) Deriving ice motion patterns in mountainous regions by integrating the intensity-based pixel-tracking and phase-based D-InSAR and MAI approaches: A case study of the Chongce Glacier. Remote Sensing, 8(7): 611.

[23]Chen, G.*, Guo, H.*, Ding, Y., Shang, H., Lv, M. and Zhang, K. (2021) Influence of Topography on the Site Selection of a Moon-Based Earth Observation Station. Sensors, 21, 7198.

[24]Guo, H.*, Liu, G., Ding, Y., Zou, Y., Huang, S., Jiang, L., Jia, G., Lv, M., Ren, Y., Ruan, Z. and Ye, H. (2016) Moon-based earth observation for large scale geoscience phenomena. 2016IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 3705-3707.

[25]Ding, Y.*, Guo, H., Liu, G., Han, C., Shang, H., Ruan, Z. and Lv, M.(2019) Constructing a High-Accuracy Geometric Model for Moon-Based Earth Observation. Remote Sensing, 11(22), 2611.

[26]Wu, J., Guo, H., Ding, Y.*, Shang, H., Li, T., Li, L. and Lv, M.(2022) The Influence of Anisotropic Surface Reflection on Earth’s Outgoing Shortwave Radiance in the Lunar Direction.Remote Sensing, 14, 887.

[27]Chen, G., Guo, H.*, Dong, J., Wu, W., Wu, K., Liu, H., Lv, M., Han, C. and Ding, Y.* (2023) Theoretical Analysis of the Spatial Baseline for Moon-Based SAR Cross-Track Interferometry.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16 7315-7326.