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[转载]数字地形分析线上交流会免费报名:熊礼阳教授@2025年10月1日22:00
2025-9-17 16:15
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数字地形分析线上交流会(Geomorphometry Coffee Talks)第九期

特邀报告人:熊礼阳教授(南京师范大学)

主题:Recent Research Progress in Geomorphometry in China

时间:北京时间2025年10月1日22:00~23:00

形式:Zoom在线会议(免费参会 

LiYang Xiong.png

特邀报告人简介:Dr. Li-Yang Xiong is a professor at the School of Geographical Science, Nanjing Normal University (NNU), China. He is currently responsible for managing NNU’s research in Digital Terrain Model and Digital Terrain Analysis. His main research interests include AI based terrain modelling, loess terrain feature characterization, landform evolution modeling, paleotopography reconstruction and geomorphological process mining. His recent work involves deep learning-based DEM reconstruction, geomorphology-oriented digital terrain analysis, and value-added digital terrain applications for geoscience. He also serves as Associate Editor for the journal Earth Surface Processes and Landforms and as an Editorial Board Member for International Journal of Geographical Information Science. 

报告主题简介Recent Research Progress in Geomorphometry in China

In this talk, I will present some recent research achievements related to terrain modelling theory, terrain analysis method and terrain application in China. This terrain modeling theory focused on how we understand terrain knowledge and integrate it into AI methods for terrain reconstruction. In term of the terrain analysis method, the mathematical vector operation we believe should be highlighted in the research of Geomorphometry, which is suitable for multi-source data structure by considering the directional property of terrain parameters. Actually, this directional property should be made a full consideration for process-oriented geographical modeling and simulation. Lastly, I will show some terrain applications towards different typical geographical areas in China as well as global scale application.

免费报名参会方式:https://forms.gle/XdPckPnNG9khs2ts8

报名成功后,正式的Zoom会议链接将于报告当日或提前一天以邮件方式发送到报名注册邮箱中,请注意查收。

如有任何问题(如注册有困难),欢迎发邮件联系报名(邮件发至qincz@lreis.ac.cn)。

转载本文请联系原作者获取授权,同时请注明本文来自秦承志科学网博客。

链接地址:https://wap.sciencenet.cn/blog-65307-1502382.html?mobile=1

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