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; Shashank Bhushan, University of Maryland; Oleg Alexandrov, NASA; Ayush Gupta, Scott Henderson, University of Washington
Session:
TH3.R14: Advances in Multimodal Topography, InSAR Quality, and Hazard Mapping Oral
Track:
Land Applications
Location:
Jefferson East
Presentation Time:
Thursday, 13 August, 14:30 - 14:45
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
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
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
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; Shashank Bhushan, University of Maryland; Oleg Alexandrov, NASA; Ayush Gupta, Scott Henderson, University of Washington
TH3.R14.5: PHYSICS-GUIDED CASCADED LEARNING FOR SUB-BLOCK SEGMENTATION OF LANDSLIDE COMPLEXES BASED ON SPATIOTEMPORAL DEFORMATION FEATURES
Zonghao Yang, Hunan Normal University; aoqing guo, Univerisity of California, Berkeley; Qian Sun, Hunan Normal University; Jun Hu, Central South University
Resources
No resources available.