报告人：刘琳（副教授）

时间：2023.7.28 10:00-11:30

地点：测绘馆206会议室

报告人简介

  刘琳，香港中文大学理学院地球与环境科学课程副教授、地球与大气科学研究生学部主任、太空与地球信息科学研究所研究员、能源与可持续发展研究所研究员。主要从事将地球物理、大地测量、深度学习等技术应用于冰冻圈变化研究。2021年获AGU John Wahr青年科学家奖。

报告简介

  In the era of big data and artificial intelligence, deep learning has emerged as an innovative and important tool in cryosphere remote sensing and modeling and has been applied to nearly all cryospheric components in the Arctic, Antarctica, and high mountain regions. In this talk, I will summarize the exciting and diverse applications of deep learning in cryospheric sciences. Even though most of the published studies in the past five years were demonstrative in nature, these early efforts have successfully proved the effectiveness, robustness, and generalization capability of deep learning in retrieving the patterns of spatial, temporal, and spectral signatures of the cryosphere in remote sensing data, characterizing cryospheric dynamics at local and regional scales, as well as establishing non-linear links between cryospheric processes and various topo-climatic variables.