刘洋，男，理学博士，出生于1987年，新疆乌鲁木齐人。

教育经历：

2016年6月，在新疆大学获博士学位；

工作经历：

2016年11月至2021年12月，在中国科学院新疆生态与地理研究所助理研究员，从事积雪遥感研究工作

2022年1月至今，在中国科学院新疆生态与地理研究所副研究员，从事积雪变化监测和过程模拟研究工作

积雪变化监测和过程模拟

1.国家自然科学青年基金；西天山山区雪崩的多源遥感量化分析及风险评估研究；2020/01-2022/12, 26万元；

2.国家科技基础资源调查专项-专题；第三次新疆预科考-典型区域冰冻圈变化调查与分析-积雪专题；2020/01-2022/12, 71万元。

Liu, Y., Chen, X., Qiu, Y.B., Hao, J.S., Yang, J.M., Li, L.H. Mapping snow avalanche debris by object-based classification in mountainous regions from Sentinel-1 images and causative indices[J]. Catena, 2021, 206, 105559. 

Liu, Y., Wei, W.Y., Wang, T.T., Li, L.H. Temporal-spatial variations of vegetation cover and surface soil moisture in the growing season across the mountain-oasis-desert system in Xinjiang, China[J]. Geocarto International, 2021, 1-29.

Liu, Y., Chen, X., Li, Q., Yang, J.M., Li, L.H., Wang, T.T. Impact of the WRF with different cloud microphysics and cumulus parameterizations on the simulation of heavy rainfall in the central segment of the Tianshan Mountains, China[J]. Atmospheric Research, 2020, 105052.

Yang, J.M., Li, C., Li, L.H., Ding, J.L., Zhang, R., Han, T., Liu, Y*. Automatic Detection of Regional Snow Avalanches with Scattering and Interference of C-band SAR Data[J]. Remote Sensing, 2020, 12, 2781

Liu, Y., Chen, X., Hao, J.S., Li, L.H. Snow cover estimation from MODIS and Sentinel-1 SAR data using machine learning algorithms in the western part of the Tianshan Mountains[J]. Journal of Mountain Science, 2020, 17(4), 884-897.

Liu, Y., Li, L.H., Chen, X., Zhang, R., Yang, J.M. Temporal-spatial variations and influencing factors of vegetation cover in Xinjiang from 1982 to 2013 based on GIMMS-NDVI3g[J]. Global and Planetary Change, 2018, 169, 145-155.

Liu, Y., Li, L.H., Chen, X., Yang, J. M., Hao, J. S.Spatial distribution of snow depth based on geographically weighted regression kriging in the Bayanbulak Basin of the Tianshan Mountains, China[J]. Journal of Mountain Science, 2018, 15(1), 33-45.

Liu, Y., Li, L.H., Yang, J.M., Chen, X., Hao, J.S. Estimating snow depth using multi-source data fusion based on the D-InSAR method and 3DVAR fusion algorithm[J]. Remote Sensing, 2017, 9(11), 1195.

刘洋,李兰海,杨金明,陈曦,张润.D-InSAR技术的积雪深度反演.遥感学报, 2018, 22(05): 802-809.