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Session Proposal: Advances in Active Remote Sensing for Hydrology and Terrestrial Ecosystems (AGU25)

NS001
Advances in Active Remote Sensing for Hydrology and Terrestrial Ecosystems

Session ID#: 248963

Session Description:
The changing climate is driving significant and visible impacts across the cryosphere, hydrosphere, and biosphere, demanding novel earth observations of these dynamic, spatiotemporally varying processes. NASEM decadal surveys have motivated the use of active source remote sensing methods to improve the monitoring of physical changes and processes across the Earth’s surface, including: global water storage, soil moisture, and water levels; topography, surface deformation, and change; monitoring of land ice, sea ice, and snow cover; vegetation structure, canopy water fraction, and disturbance processes. We invite abstracts using observed or simulated data from active sensors including, but not limited to InSAR, polarimetry, scatterometry, altimetry, laser mass gravimetry, GNSS, and LiDAR, demonstrating advancements in monitoring terrestrial landscapes, topography, ecosystems, and hydrology. Analyses of data from current satellites, such as SWOT, CYGNSS, Sentinel-1, GEDI, and ICESat-2, as well as research-grade airborne systems like UAVSAR, DopplerScatt, and Rongowai, are particularly encouraged.
Co-Sponsor(s):
  • C - Cryosphere
  • GC - Global Environmental Change
  • H - Hydrology
  • NH - Natural Hazards
Index Terms:

0468 Natural hazards [BIOGEOSCIENCES]
1813 Eco-hydrology [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1890 Wetlands [HYDROLOGY]
Primary Convener:  Jessica V Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, MI, United States
Conveners:  Roger J Michaelides, Washington University in St. Louis, Department of Earth, Environmental, and Planetary Sciences, St. Louis, United States and Jingyi Chen, The University of Texas at Austin, Aerospace Engineering & Engineering Mechanics, Austin, United States
Student/Early Career Convener:  Elizabeth Wig, Stanford University, Department of Electrical Engineering, Stanford, CA, United States
 
Beyond Public Reports: Harnessing Multiphase Lidar to Improve Evaluation of Sinkhole Occurrence Rates (1862136)
Desiree Cunningham, Kentucky Geological Survey Lexington, Lexington, United States and Junfeng Zhu, University of Kentucky, Kentucky Geological Survey, Lexington, United States
 
Modeling, Prediction, and Retrieval of Surface Soil Moisture from InSAR Closure Phase (1866033)
Yujie Zheng, The University of Texas at Dallas, Department of Sustainable Earth Systems Sciences, Richardson, United States and Heresh Fattahi, Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Impact of Climate Change on the Precipitation Pattern of Punjab, Pakistan Using Multispectral Remote Sensing and GIS (1878614)
Daniyal Afzaal Abbasi, University of Arid Agriculture Rawalpindi, IGEO, Rawalpindi, Pakistan, Muhammad Amin, University of Arid Agriculture Rawalpindi, Rawalpindi, PAKISTAN and Qurat Ul Ain, University of Arid Agriculture Rawalpindi, Rawalpindi, Pakistan
 
Use of Both InSAR Co- and Cross-polarized Data Reveals Short Spatial Scale Displacement Rate Variability and mm/yr-scale Biases (1893002)
Olivia Catherine Paschall, Cornell University, Ithaca, United States and Rowena B. Lohman, Cornell University, Earth and Atmospheric Sciences, Ithaca, United States
 
Remote Sensing based Hydrodynamic Modeling in Data-Scarce Regions: Integrating ICESat-2, Sentinel-2, and SWOT for Coastal Monitoring in Langebaan Lagoon, South Africa (1897748)
Ali Reza Payandeh1, Marc Simard2, Anthony Campbell3, Daniel Jensen1 and Heidi van Deventer4, (1)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)Council for Scientific and Industrial Research, Praetoria, South Africa
 
GNSS-R for Surface Hydrology: Product Development and Applications (Invited) (1899306)
Cynthia Gerlein-Safdi1, Tianjiao Pu2, Ying Xiong3, Katie Stephens4, Ann Scheliga1, Anna Valcarcel5, Eric A Kort6 and A. Anthony Bloom7, (1)University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, (2)Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, United States, (3)Hong Kong Baptist University, Hong Kong, Hong Kong, (4)University of California Berkeley, Berkeley, CA, United States, (5)University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States, (6)University of Michigan Ann Arbor, Climate and Space Sciences and Engineering, Ann Arbor, MI, United States, (7)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
 
Assessing Lake-River Connectivity During Extreme Drought: Use of SWOT for Understanding the Dynamics of Amazonian Ria Lakes and Their Interaction With the Amazon River (1900424)
Kei Yamato, University of Illinois at Urbana-Champaign, Geography and Geographic Information Science, Urbana, United States, Dr. Jida Wang, University of Illinois Urbana-Champaign, Geography & Geographic Information Science, Urbana, United States, Jim Best, University of Illinois at Urbana Champaign, Department of Earth Science & Environmental Change, Champaign, United States and Ayan Santos Fleischmann, Mamirauá Institute for Sustainable Development, Tefé, Brazil
 
Synergistic Use of ROSE-L and Sentinel-1 Data for Soil Moisture Retrieval over Agricultural Terrains (1907514)
Giovanni Anconitano1, Elena Arabini2, Alessandro Patacchini3, Mario Alberto Acuña4 and Nazzareno Pierdicca2, (1)Istituto Nazionale di Geofisica e Vulcanologia, Palermo, Italy, (2)Sapienza University of Rome, Department of Information Engineering, Electronics and Telecommunications, Rome, Italy, (3)Nhazca S.r.l., Rome, Italy, (4)Comisión Nacional De Actividades Espaciales, Buenos Aires, Argentina
 
Skill of Satellite Snow Products for Multi-Objective Calibration of a Conceptual Hydrological Model (1907897)
Mitra Tanhapour1, Juraj Parajka2, Mariette Vreugdenhil3, Gabriele Schwaizer4, Silvia Kohnova1, Kamila Hlavčová1, Roman Výleta1, Ján Szolgay1 and Saeid Okhravi5, (1)Department of Land and Water Resources Management, Slovak University of Technology, 81005 Bratislava, Slovakia, Bratislava, Slovakia, (2)Institute of Hydraulic Engineering and Water Resources Management, TU Wien, 1040 Vienna, Austria and Centre for Water Resource Systems, TU Wien, 1040 Vienna, Austria, Vienna, Austria, (3)Department of Geodesy and Geoinformation, TU Wien, 1040 Vienna, Austria, Vienna, Austria, (4)ENVEO-Environmental Earth Observation IT GmbH, Fürstenweg 176, 6020 Innsbruck, Austria, Innsbruck, Austria, (5)Institute of Hydrology, Slovak Academy of Sciences, 84104 Bratislava, Slovakia, Bratislava, Slovakia
 
Tracking Snow Cover/Moisture Change with GNSS-R (1909549)
Mary Ruth Keller, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States, David Truesdale, Johns Hopkins University Applied Physics Laboratory, FPS/KAB, Laurel, United States and Theresa Moore, Johns Hopkins University Applied Physics Laboratory, AOS/QPI, Laurel, United States
 
L-Band SAR Backscatter from Subsurface Soil Moisture Weaker than at C-Band (1910879)
Rowan Biessel and Rowena B. Lohman, Cornell University, Earth and Atmospheric Sciences, Ithaca, United States
 
Using Sentinel-1 SAR Data to Map Grain Size in the North Fork Toutle River Valley, Mount St. Helens, USA (1911076)
Sophie Mann1, Colin R Thorne1, Alessandro Novellino2, Scott Feehan3, Ekbal Hussain2, Stephen Grebby1 and Stuart Marsh1, (1)University of Nottingham, Nottingham, United Kingdom, (2)British Geological Survey, Keyworth, Nottingham, United Kingdom, (3)USGS Cascades Volcano Observatory, Vancouver, United States
 
Improving Inland Wind Speed Estimating Using CYGNSS and SWOT Observations over Lakes with Complex Geometries (1920882)
Yinjiao Zhong and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
 
High-resolution UAV-SAR Interferometry at L-band and S-band: Assessing Interferometric Performance Across Terrestrial Ecosystems and Geomorphic Settings (1925993)
Charles L Werner1, Othmar Frey2, Timothy H Dixon3, Elias J Deeb4, Silvan Leinss2, Taha Sadeghi Chorsi3 and Adam LeWinter5, (1)Gamma Remote Sensing AG, Guemligen, Switzerland, (2)Gamma Remote Sensing, Worbstrasse 225, Gümligen, Switzerland, (3)University of South Florida, School of Geosciences, Tampa, United States, (4)U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Hanover, United States, (5)U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, NH, United States
 
InSAR-Derived Seasonal Dam Deformation and Hydrometeorological Factors Interdependencies on Embankments and Gravity Dams in California, USA (1941307)
Deepak Verma1, Saurabh Vijay1 and Francisco Munoz-Arriola2, (1)Indian Institute of Technology Roorkee, Department of Civil Engineering, Roorkee, India, (2)Department of Biological Systems Engineering & School of Natural Resources, University of Nebraska-Lincoln, Lincoln, NE, United States
 
Advancing flood mapping and forecasting in New Zealand with GNSS-R airborne observations from Rongowai (Invited) (1946585)
Konstantinos Andreadis, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States and Delwyn Moller, Department of Electrical Computer & Software Engineering, The University of Auckland, Auckland, New Zealand
 
Using SWOT, UAVSAR, and Sentinel-1 SAR Backscatter to Retrieve Vegetation Optical Depth from Multiple Frequencies over Harvard Forest (1955204)
Rebecca Bowers and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
 
Leveraging Rongowai Polarimetric GNSS-R Observations for Advanced Soil Moisture and Hydrologic Investigations (1956692)
Dinan Bai, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Christopher S Ruf, University of Michigan Ann Arbor, Climate and Space, Ann Arbor, MI, United States and Delwyn Moller, Department of Electrical Computer & Software Engineering, The University of Auckland, Auckland, New Zealand
 
Extending Multi-Functional Airborne Fluorescence Ocean Lidar to Inland Targets: Snow, Water Bodies, and Vegetation (1967724)
Madeline Cowell1, Yongxiang Hu2, Michael Behrenfeld3, Collin P Ward4, Ved Chirayath5, Davida Streett6 and Carl S Weimer1, (1)BAE Systems, Inc., Space & Mission Systems, Boulder, United States, (2)NASA Langley Research Center, Hampton, VA, United States, (3)Oregon State University, Department of Botany and Plant Pathology, Corvallis, United States, (4)Woods Hole Oceanographic Institution, Marine Chemistry and Geochemistry, Woods Hole, MA, United States, (5)NASA Ames Research Center, Moffett Field, United States, (6)National Environmental Satellite, Data, and Information Service, Silver Spring, United States
 
How well do CYGNSS surface water data of reservoir extent improve machine-learning streamflow predictions? (1970982)
Ann Scheliga1,2, Tianjiao Pu3 and Cynthia Gerlein-Safdi2, (1)EAWAG Swiss Federal Institute of Aquatic Science and Technology, Surface Waters, Duebendorf, Switzerland, (2)University of California Berkeley, Civil and Environmental Engineering, Berkeley, United States, (3)Princeton University, Civil and Environmental Engineering & High Meadows Environmental Institute, Princeton, United States
 
Improved Scaling Relationships between Vegetation Optical Depth and Vegetation Water Content Reveal Higher-Than-Expected Vegetation Water Storage (1974027)
Duncan Jurayj, University of Michigan, Ann Arbor, MI, United States and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
 
Polarimetric SAR Imagery to Quantify the Role of Vegetation in Spatial and Temporal Variation of the Carbon Fluxes over the Wetlands in the Great Lakes Region (1975306)
Kazem Bakian Dogaheh and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
 
Post-Flood Sediment Deposition Analysis Using SAR Interferometry: A Case Study of the 2020 Flood of Jamuna River, Bangladesh (1975525)
Md Asadullahil Galib Fardin1,2 and Abdullah Al Jahib2,3, (1)Institute of Water and Flood Management, Bangladesh, Dhaka, Bangladesh, (2)Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, (3)Institute of Water and Flood Management, Dhaka, Bangladesh
 
Assessing the Relation between Groundwater Depletion Induced Land Subsidence and Flooding in the Southern San Joaquin Valley, California (1977133)
Susmita Pant1, Ryan Smith2 and Ryan R Morrison2, (1)Colorado State University Fort Collins, Fort Collins, CO, UNITED STATES, (2)Colorado State University, Civil and Environmental Engineering, Fort Collins, United States
 
High-Resolution Mapping and Temporal Analysis of Tidal-Driven Mangrove Stress in The Gambia Using Sentinel and SWOT Observations (1979301)
Betty Jahateh and Jessica Fayne, University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States
 
Three years of the Rongowai GNSS-R airborne mission: The data archive and products (1983422)
Delwyn Moller, Organization Not Listed, Washington, DC, United States; Restore Lab, Wanaka, New Zealand, Christopher S Ruf, University of Michigan Ann Arbor, Climate and Space, Ann Arbor, MI, United States, Mohammad Al-Khaldi, Ohio State University, Department of Electrical and Computer Engineering, Columbus, United States, Konstantinos Andreadis, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, Dinan Bai, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Fabian Döweler, Dragonfly Data Science, Welllington, New Zealand and Ajay Quirk, Restore Lab Ltd, Wanaka, New Zealand
 
Hydrology Land Use and Climate Change 2025: Advancements in Remote Sensing for Hydrology and Terrestrial Ecosystems (1989898)
Jessica V Fayne1, Kazem Bakian Dogaheh2, Duncan Jurayj2, Rebecca Bowers2,3, Yinjiao Zhong2, Betty Jahateh2 and Gary Bowen2, (1)University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, MI, United States, (2)University of Michigan Ann Arbor, Department of Earth and Environmental Sciences, Ann Arbor, United States, (3)Phillips Academy Andover, Mathematics, Andover, United States
 
Assessing Peat Surface Motion using Interferometric Synthetic Aperture Radar (InSAR) in The Great Fen Area of Cambridgeshire, UK (1992604)
Abdou Khouakhi1, Abhishek Patil1, Ian Holman1 and Nicholas Girkin2, (1)Cranfield University, Faculty of Engineering and Applied Science, Cranfield, United Kingdom, (2)University of Nottingham, Division of Agricultural and Environmental Sciences, Nottingham, United Kingdom
 
Aquifer Depletion, Land Subsidence and Desertification: Insights from a Multi-Decadal Satellite Survey in Iran (1994093)
Mahdi Motagh, Leibniz University of Hannover, Institute for Photogrammetry and Geoinformation, Hannover, Germany; GFZ Helmholtz Centre for Geosciences, Department of Geodesy, Potsdam, Germany and Mahmud Haghighi, Leibniz University of Hannover, Institute for Photogrammetry and GeoInformation, Hannover, Germany
 
Quantifying Vertical Displacement of Localized Sediment Nourishment Sites Using Sentinel-1 InSAR (1995567)
Sarah Ayling1, Elizabeth Carter1, Brian Harris2 and Justin Shawler3, (1)Syracuse University, Civil and Environmental Engineering, Syracuse, United States, (2)US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Vicksburg, United States, (3)U.S. Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, Kiln, United States
 
Application of InSAR for Levee Deformation Detection in Flood-Prone Regions (1998511)
Madan Pokhrel, New Mexico State University Main Campus, Department of Civil Engineering, Las Cruces, NM, United States and Huidae Cho, Department of Civil Engineering, New Mexico State University, Las Cruces, United States