报告人：Marco Scaioni(教授)

时间：2023.3.20 15:30-17:00

Zoom会议：874-589-27219

密码：见邮件或班级通知

报告人简介

Marco Scaioni is a full Professor of Geomatics at Politecnico Milano, Dept. of Architecture, Built Environment and Construction Engineering (ABC). Head of ABC-PhD programme. He was formerly a full Professor in the College of Surveying and Geo-Informatics at Tongji University, Shanghai (2011-2014). His main research interests include: Photogrammetry and Laser scanning from multiple platforms, Integration GIS/BIM for historical buildings and infrastructures, Geomatics for Geosciences (Glaciology and Geology), Geodatabases for urban planning, Deep Learning classification of point clouds. He was the chairman of the ISPRS WG III/5 on “Information Extraction from LiDAR Intensity Data” (2016-2022). He is now an Associate Editor of Applied Geomatics (Springer) and the ISPRS Journal of Photogrammetry and Remote Sensing (Elsevier). He published more than 310 scientific papers, including 65 papers on WoS-indexed journals (H-index: 22), 171 Scopus-indexed papers (H-index: 30) and two edited books.

报告简介

As glaciers are severely affected by climate change, it is crucial to monitor their morphological evolution by detection of ice-mass variations. Historical aerial images may provide valuable information to this purpose combined with up-to-date photogrammetric techniques, such as Structure-from-Motion (SfM) and Multi-View-Stereo (MVS) dense matching. Point clouds of reconstructed 3D surface of glaciers may be used to detect thickness change and height differences over time. This task can be accomplished by applying suitable techniques for computing distances between each pair of point clouds. Here a case study consisting of a group of Alpine glaciers in the Mount Blanc massif in the Italian Alps was selected. Seven data sets of digitized analogue aerial images provided by National Geographic and Forestry Institute of France (IGNF) have been selected, downloaded, and used for photogrammetric processing. These data sets cover a time span of approximately 40 years from 1967 to 2006. While the change in ice thickness of these glaciers was relatively small until the mid-1990s, this study revealed an increasing reduction rate at the beginning of 21st century. Prof. Scaioni will describe the adopted methodological approach for photogrammetric reconstruction, quality assessment and point cloud comparison in the lecture.