MO3.R1.1
GRACE AND INSAR INTEGRATION FOR QUANTIFYING GROUND SUBSIDENCE TIME-LAG RESPONSE IN XI’AN CITY
Leilei Yang, Yan Zhang, Hanwen Yu, Taoli Yang, Yang Lan, Xinghao Wang, Wentong Wu, Hong Dai, University of Electronic Science and Technology of China, China
Session:
MO3.R1: Inland Waters I Oral
Track:
Land Applications
Location:
TBD
Presentation Time:
Mon, 10 Aug, 13:45 - 14:00
Presentation
Discussion
Resources
No resources available.
Session MO3.R1
MO3.R1.1: GRACE AND INSAR INTEGRATION FOR QUANTIFYING GROUND SUBSIDENCE TIME-LAG RESPONSE IN XI’AN CITY
Leilei Yang, Yan Zhang, Hanwen Yu, Taoli Yang, Yang Lan, Xinghao Wang, Wentong Wu, Hong Dai, University of Electronic Science and Technology of China, China
MO3.R1.2: RELATIONSHIP BETWEEN CARRIER-PHASE GRAZING ANGLE GNSS-REFLECTOMETRY MEASUREMENTS AND SURFACE WATER
Margaret Scott, University of Colorado Boulder, United States; Clara Chew, Muon Space, Inc., United States; Carolyn Roesler, Y. Jade Morton, University of Colorado Boulder, United States
MO3.R1.3: A MULTI-BAND SAR/GNSS-R COMPARISON FOR SURFACE WATER MONITORING IN COMPLEX VEGETATED ENVIRONMENTS
Paolo Gennaro Madonia, Nazzareno Pierdicca, Sapienza - Università di Roma, Italy; Cinzia Zuffada, California Institute of Technology, United States
MO3.R1.4: A Node- and Reach-Based Accuracy Assessment of SWOT-Derived River Water Surface Elevation
M. Raşit Cevikalp, Berkay Korik, Esra Erten, Nebiye Musaoglu, Istanbul Technical University, Türkiye
MO3.R1.5: CAPABILITIES OF SWOT PIXEL CLOUD DATA PRODUCT FOR MONITORING ELEVATIONS IN NARROW RIVERS
Reza Jamshidi, Yuyang Li, Edward Beighley, Northeastern University, United States; Kelsey Pieper, University of North Carolina at Charlotte, United States; Nathan Jones, University of Alabama, United States
Contacts