TH3.R14.2
INSAR FROM THE LENS OF SPATIAL DATA QUALITY ATTRIBUTES: A PERSPECTIVE WITH A FOCUS ON LAND DEFORMATION MODELING.
Jagannath Aryal, Kobid Panthi, The University of Melbourne, Australia
Session:
TH3.R14: Advances in Multimodal Topography, InSAR Quality, and Hazard Mapping Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Thu, 13 Aug, 14:00 - 14:15
Presentation
Discussion
Resources
No resources available.
Session TH3.R14
TH3.R14.1: ICETERRANET: DTM GENERATION VIA COUPLING MULTI-SOURCE REMOTE SENSING PRODUCTS WITH ICESAT-2 SINGLE-PHOTON DATA
Ruirui Chen, Yongjun Zhang, Yi Wan, Wuhan University, China
TH3.R14.2: INSAR FROM THE LENS OF SPATIAL DATA QUALITY ATTRIBUTES: A PERSPECTIVE WITH A FOCUS ON LAND DEFORMATION MODELING.
Jagannath Aryal, Kobid Panthi, The University of Melbourne, Australia
TH3.R14.3: From Visualization to Surveying: 3D Scene Representations with Novel View Synthesis for Coastal Mapping
Ololade Oladoyin, Texas A&M University Corpus Christi, United States
TH3.R14.4: Multi-modal data fusion of satellite stereo-lidar-radar for precise 3D measurement of the Earth’s changing surface
David Shean, University of Washington, United States; Shashank Bhushan, University of Maryland, United States; Oleg Alexandrov, NASA, United States; Ayush Gupta, Scott Henderson, University of Washington, United States
TH3.R14.5: PHYSICS-GUIDED CASCADED LEARNING FOR SUB-BLOCK SEGMENTATION OF LANDSLIDE COMPLEXES BASED ON SPATIOTEMPORAL DEFORMATION FEATURES
Zonghao Yang, Hunan Normal University, China; aoqing guo, Univerisity of California, Berkeley, United States; Qian Sun, Hunan Normal University, China; Jun Hu, Central South University, China
Contacts