Enhancing the Prediction of Dam Deformations: A Novel Data-Driven Approach
Deformation monitoring is a critical task for dam operators to guarantee safe operation. Given an increasing number of extreme weather events caused by climate change, the precise prediction of dam deformations has become increasingly important. Traditionally, multiple linear regression models have...
Saved in:
| Main Authors: | Jonas Ziemer, Gideon Stein, Carolin Wicker, Jannik Jänichen, Daniel Klöpper, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/17/6/1026 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Assessing the Feasibility of Persistent Scatterer Data for Operational Dam Monitoring in Germany: A Case Study
by: Jonas Ziemer, et al.
Published: (2025-03-01) -
Identifying Deformation Drivers in Dam Segments Using Combined X- and C-Band PS Time Series
by: Jonas Ziemer, et al.
Published: (2025-07-01) -
Towards Operational Dam Monitoring with PS-InSAR and Electronic Corner Reflectors
by: Jannik Jänichen, et al.
Published: (2025-04-01) -
Collapse Hotspot Detection in Urban Area Using Sentinel-1 and TerraSAR-X Dataset with SBAS and PSI Techniques
by: Niloofar Alizadeh, et al.
Published: (2024-12-01) -
Optimization of time and temperature of dam construction for thermal analysis of roller compacted concrete dam
by: Ramtin Sobhkhiz Foumani, et al.
Published: (2023-06-01)