FR2.P11: Multisensor Data Fusion and Geospatial Data Intelligence I
Friday, 8 August, 10:30 - 11:45
Location: Room P11
Session Type: Oral
Track: Community-Contributed Sessions
Fri, 8 Aug, 10:30 - 10:45

FR2.P11.1: Advancing High-Mountain Precipitation Reconstruction Through Merging of Multiple Data Sources: Triple Collocation Versus Signal-to-Noise Ratio Optimization
Suraj Shah, Yi Liu, University of New South Wales, Australia, Australia; Seokhyeon Kim, Kyung Hee University, Korea (South); Ashish Sharma, University of New South Wales, Australia
Fri, 8 Aug, 10:45 - 11:00

FR2.P11.2: Micro-Structures Graph-Based Point Cloud Registration for Balancing Efficiency and Accuracy
Rongling Zhang, Yan Li, Pengcheng Wei, Hong Xie, Pinzhuo Wang, Binbing Wang, Wuhan University, China
Fri, 8 Aug, 11:00 - 11:15

FR2.P11.3: A Novel Merging Framework for Generating High-Accuracy Global Soil Moisture by Error Decomposition Through Multiple Collocation Analysis
Xiaoxiao Min, Yulin Shangguan, Zhou Shi, Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, China
Fri, 8 Aug, 11:15 - 11:30

FR2.P11.4: DETECTING CEMENT PLANTS WITH LANDSAT-8: A PHYSICS-INFORMED, MULTI-TEMPORAL, AND MULTI-SPECTRAL DEEP LEARNING FUSION APPROACH
Georgios Voulgaris, Maral Bayaraa, University of Oxford, United Kingdom; Cristian Rossi, European Space Agency, Netherlands