C033
Remote Sensing of the Cryosphere - Seasonal Snow
Session ID#: 247484
Session Description:
Monitoring snow water equivalent (SWE) in global seasonal snowpacks at daily repeat cycles remains an unsolved challenge in hydrology. The extent and magnitude of seasonal snowpacks are decreasing globally, even as populations continue to increase demand from these natural reservoirs. Additional snow properties such as depth or albedo provide critical information for research and management applications. This session will focus on remote sensing of seasonal snow and snow properties from spaceborne, airborne (crewed/uncrewed aircraft), and ground-based platforms. We especially welcome presentations emphasizing techniques for wet snow, a pressing challenge in our changing cryosphere. Other topics include instrument and platform development, new and historical observations, analysis methods and techniques, scientific and operational applications, and model integration and validation. We encourage submissions of different sensor types (e.g., radar, lidar, optical), techniques (e.g., imaging spectroscopy, photogrammetry, interferometry) and applications to retrieve snow properties at various spatial scales in all regions across the planet.
Co-Sponsor(s):
Index Terms:
0736 Snow [CRYOSPHERE]
0758 Remote sensing [CRYOSPHERE]
0770 Properties [CRYOSPHERE]
0794 Instruments and techniques [CRYOSPHERE]
Primary Convener: Joachim Meyer, Boise State University, Geosciences, Boise, ID, United States
Conveners: Jack Tarricone, University of Nevada, Reno, Graduate Program of Hydrologic Sciences, Reno, United States, J Michelle Hu, University of Utah, School of Environment, Society & Sustainability, Salt Lake City, UT, United States and Ross Palomaki, University of Colorado Boulder, Institute of Arctic and Alpine Research, Boulder, United States
Feasibility Mapping of L-band InSAR for SWE retrievals (1862079)
Preetika Kaur1, Ryan Webb1, Jack Tarricone2, Karl Rittger3, Eric Gagliano4, Daniel McGrath5, Hans-Peter Marshall6, Randall Bonnell5, Richard R Forster7, Elias J Deeb8 and Ryan Webb, (1)University of Wyoming, Laramie, United States, (2)University of Nevada, Reno, Graduate Program of Hydrologic Sciences, Reno, United States, (3)University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States, (4)University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, (5)Colorado State University, Department of Geosciences, Fort Collins, United States, (6)Boise State University, Department of Geosciences, Boise, ID, United States, (7)University of Utah, School of Environment, Society, and Sustainability, Salt Lake City, United States, (8)U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Hanover, United States
High-Resolution Insights into Snowpack Controls on Vegetation Dynamics: UAV vs. Sentinel-2 in the Pyrenees (1867681)
Jesus Revuelto1, Pablo Dominguez-Aguilar2, Javier Bandrés2, Francisco Rojas-Heredia3, Eñaut Izagirre2, Maria Courard Christie2, César Deschamps-Berger4 and Juan Ignacio López5, (1)Pyrenean Institute of Ecology (IPE-CSIC), Zaragoza, Spain, (2)CSIC, Zaragoza, Spain, (3)Instituto Pirenaico de Ecología, Zaragoza, Spain, (4)Pyrenean Institute of Ecology (CSIC), Zaragoza, Spain, (5)Spanish Research Council, Zaragoza, Spain
Evaluating the Impact of Different Parameters on SWE Retrieval Using Sentinel-1 Interferometric Data and LIDAR Snow Depth (1870802)
Shadi Oveisgharan, NASA Jet Propulsion Laboratory, Pasadena, CA, United States, Emre Havazli, University of Miami, Marine Geology and Geophysics, Miami, United States and Robert Wayne Zinke, JPL/NASA/Caltech, Pasadena, United States
Measuring Snow Water Equivalent (SWE) at Multiple Scales by Cosmic Ray Probes (1877715)
Enrico Gazzola1, Stefano Gianessi1, Mauro Valt2, Davide Gisolo3, Davide Canone3, Stefano A Ferraris3, Marco Zanetti1 and Barbara Biasuzzi1, (1)Finapp, Montegrotto Terme, Italy, (2)Regional Environmental Protection Agency of Veneto - ARPAV, Centro Valanghe di Arabba, Livinallongo del Col di Lana, Italy, (3)University of Turin, Interuniversity Department of Regional and Urban Studies and Planning, Torino, Italy
Evaluating uncertainties in modeled snow reflectance using multispectral remote sensing and UAV-based hyperspectral imaging (1885395)
Eric A Sproles1, Duilio G. Fonseca1, Shannon Hamp2, Joseph Shaw2, Erich Schreier3, Henna-Reetta Hannula4, Roberta Pirazzini4 and Riley Logan2, (1)Montana State University, Earth Sciences, Bozeman, United States, (2)Montana State University, Electrical & Computer Engineering, Bozeman, United States, (3)Montana State University, Earth Sciences, Bozeman, MT, United States, (4)Finnish Meteorological Institute, Helsinki, Finland
Sentinel-1 InSAR for Snowpack Monitoring over Alpine and Arctic Tundra Regions of the Western USA (1917643)
Randall Bonnell, USGS Water Mission Area, Earth Systems Processes Division, Lakewood, United States, David Rey, USGS Observing Systems Division, Hydrologic Remote Sensing Branch, Golden, United States, Michelle A Walvoord, U.S. Geological Survey, Earth System Processes Division, Lakewood, United States; USGS Water Mission Area, Lakewood, United States; USGS, Denver, United States, Graham A Sexstone, U.S. Geological Survey, Lakewood, United States, Kelly Elder, USDA Forest Service, Fort Collins, United States, Eliza Ross, Colorado School of Mines, Department of Geophysics, Golden, United States, Coleman Kane, Boise State University, Boise, United States, Will McDermott, USGS Colorado Water Science Center Denver, Denver, United States and Shadi Oveisgharan, Jet Propulsion Laboratory, Pasadena, United States
Snow water equivalent estimates from airborne radar in the St. Elias Mountains (1918799)
Michael Daniel, University of Arizona, Lunar and Planetary Laboratory, Tucson, United States, John W Holt, University of Arizona, Geosciences, Lunar and Planetary Laboratory, Tucson, AZ, United States, Mikaila Mannello, University of Maine, Earth and Climate Sciences and Climate Change Institute, Orono, United States, Jilu Li, University of Kansas, Center of Remote Sensing and Integrated Systems (CReSIS), Lawrence, United States, Fernando Rodriguez-Morales, Center for Remote Sensing of Ice Sheets, Lawrence, KS, United States, Douglas Brinkerhoff, University of Montana, Department of Computer Science, Missoula, United States and Martin Truffer, University of Alaska Fairbanks, Fairbanks, United States
Evaluating Snow Cover Dynamics Using Satellite Imagery in Utqiaġvik, Alaska (1920929)
Valentina Ekimova1, Howard E Epstein2, Matthew G Jull3, Leena Cho3, Mirella Shaban1 and MacKenzie Nelson1, (1)University of Virginia, Department of Environmental Sciences, Charlottesville, VA, United States, (2)University of Virginia, Department of Environmental Sciences, Charlottesville, United States, (3)University of Virginia, School of Architecture, Charlottesville, United States
Snow Density Measurement with Impedance Spectroscopy (1926639)
Brian Zutter, Sandia National Laboratories, Albuquerque, NM, United States, Kiana Tsao, UC Berkeley, Soda Springs, United States, Jennifer Frederick, Sandia National Laboratories, Albuquerque, United States, Andrew Schwartz, University of California Berkeley, Central Sierra Snow Lab, Berkeley, United States, Kent Pfeifer, Sandia National Labs, Albuquerque, United States and James Lewis, Sandia National Labs, Livermore, United States
Estimating Snow Aerodynamic Roughness Length Using Remote Sensing in Data-Scarce Mountain Regions (1927105)
Katharina Theresa Scheidt1, Rafael Pimentel1, Carlo Marin2, Riccardo Barella2, Valentina Premier2, María José Polo1 and Claudia Notarnicola2, (1)University of Córdoba, Department of Agronomy, Fluvial Dynamics and Hydrology Research Group, Córdoba, Spain, (2)Eurac Research, Institute for Earth Observation, Bozen/Bolzano, Italy
Improving global snow depth retrieval from AMSR2 data using interpretable machine learning (1956751)
Kehan Yang, PhD1,2, Sujay V Kumar2, Goutam Konapala3, Ehsan Jalilvand, PhD4,5, Yeosang Yoon4,6 and Carrie Vuyovich2, (1)Science Systems and Application Inc. (SSAI), Greenbelt, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States, (3)Pacific Northwest National Laboratory, Richland, United States, (4)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, United States, (5)Science Applications International Corporation (SAIC), Reston, United States, (6)Science Applications International Corporation, Reston, United States
Accurate snow depth predictions across the Western U.S. using a deep learning model trained on 7 years of airborne lidar snow depth measurements (1960407)
George Brencher1, David E Shean2, Eric Gagliano2 and Scott T Henderson3, (1)University of Washington, Civil & Environmental Engineering, Seattle, United States, (2)University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, (3)University of Washington, Earth and Space Sciences, Seattle, United States
The Role of EMIT in Improving Snowmelt Prediction and Supporting Decision-Making for Water Resource Management (1963186)
Urs Bohn1, Jeff Dozier2, Edward Bair3, Brenton Wilder4, Nimrod Carmon1, Thomas H Painter5, Ross Palomaki6, Karl Rittger7, Philip G Brodrick8, David R Thompson8 and Robert O Green1, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (2)University of California Santa Barbara, Santa Barbara, CA, United States, (3)Leidos, Inc., Reston, United States, (4)San Diego State University, San Diego, CA, United States, (5)Airborne Snow Observatories, Inc., Mammoth Lakes, United States, (6)University of Colorado Boulder, Institute of Arctic and Alpine Research, Boulder, United States, (7)University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States, (8)NASA Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Coupled Atmospheric Physical Statistical Retrieval of SWE In Forested Environment from Airborne X And KU-Band SAR Measurements (1979941)
Siddharth Singh, University of Illinois at Urbana Champaign, Civil Engineering, Urbana, United States, Ana Paula Barros, University of Illinois Urbana Champaign, Civil and Environmental Engineering, Urbana, United States and Carrie Vuyovich, NASA Goddard Space Flight Center, Greenbelt, United States
Using Low-Earth Orbit Instruments and Neural Networks to Downscale Geostationary Surface Albedo Products (1981164)
Titus Nyarko Nde1, Felix Yu2, William J Rudisill3, Alejandro N Flores1, Daniel Feldman4 and Nancy F Glenn5, (1)Boise State University, Department of Geosciences, Boise, ID, United States, (2)University of Michigan Ann Arbor, Ann Arbor, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, United States, (4)Lawrence Berkeley National Laboratory, Berkeley, CA, United States, (5)Boise State Univ, Boise, United States
Ground classification challenges for LiDAR snow depths in a forested watershed on Vancouver Island (1987858)
Anthony Maue1, Bill C Floyd1,2, Sergey Marchenko1, Maartje Korver1, Ben O'Connor1, Eva Griffiths1, Derek Heathfield3, Steven Beffort3, Santiago Gonzalez Arriola3, Rob White3 and Brian Menounos4, (1)Vancouver Island University, Coastal Hydrology Research Lab, Nanaimo, BC, Canada, (2)British Columbia Ministry of Forests, Nanaimo, BC, Canada, (3)Hakai Institute, Victoria, BC, Canada, (4)University of Northern British Columbia, Geography Earth and Environmental Sciences, Prince George, BC, Canada
Advanced Machine Learning Applications for Snowpack and SWE Prediction in the Absaroka-Beartooth Wilderness, Montana (1989388)
Mary OFlaherty1, Andrew K Laskowski2, Robyn Gotz1 and Anna Schweiger3, (1)Montana State University, Earth Sciences, Bozeman, United States, (2)Montana State University, Bozeman, United States, (3)Montana State University, Land Resources and Environmental Sciences, Bozeman, United States
Physical Modeling of Co- and Cross-Polarized Rough Surface Backscattering for Radar Remote Sensing of Snow at Ku, X, C and L Band (1996959)
Firoz Kanti Borah1, Leung Tsang1 and Edward Kim2, (1)University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, United States, (2)NASA Goddard Space Flight Center, Greenbelt, United States
