C033
Remote Sensing of the Cryosphere: Seasonal Snow
Session ID#: 162333
Session Description:
Over a billion people globally depend on snowmelt runoff to meet water demands, predominantly from snow that accumulates annually in mid-latitude mountains. Decades of observations show that this natural reservoir is at risk; snow water equivalent and snow extent are declining; even as growing populations rely more on snow water resources and the vast infrastructural networks that have been set up to store and transport runoff. This session will focus on remote sensing of seasonal snow and snow water resources from spaceborne, airborne (crewed/uncrewed aircraft), and ground based platforms. Presentations will address a range of topics including instrument and platform development, targeted campaigns, new and historical observations, analysis methods and techniques, scientific and operational applications, model integration and validation, and results from recent campaigns. We welcome submissions from a diversity of sensor types and measurement methods (e.g. radar, lidar, imaging spectroscopy, photogrammetry) and applications.
Index Terms:
0736 Snow [CRYOSPHERE]
0740 Snowmelt [CRYOSPHERE]
0758 Remote sensing [CRYOSPHERE]
1863 Snow and ice [HYDROLOGY]
Primary Convener: McKenzie Skiles, University of Utah, Geography, Salt Lake City, United States
Conveners: Carrie Vuyovich, University of New Hampshire, Hanover, United States, Karl Rittger, University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States and Joachim Meyer, University of Utah, Geography, Salt Lake City, UT, United States
Catchment-Level Seasonal Snowdepth Mapping and Monitoring Using Sentinel-1,-2 and IoT Sensor Validation in the Upper Indus Basin. (1044866)
Mohammad Sohail, Center for Water Informatics and Technology (WIT), LUMS, Lahore, Pakistan, Zahoor Ahammad, Lahore University of Management Sciences, Centre For Water Informatics & Technology (WIT), Lahore, Pakistan and Abubakr Muhammad, Center for Water Informatics & Technology, Lahore University of Management Sciences, Lahore, Pakistan
Using Blue Wavelengths to Estimate Snow Cover from Cloud-Free, High-Resolution Commercial Satellite Imagery (1053348)
Ryan Landon Crumley, Los Alamos National Laboratory, Earth and Environment Sciences, Los Alamos, NM, United States, Evan Thaler, University of Massachusetts Amherst, Department of Geosciences, Amherst, MA, United States; Los Alamos National Laboratory, Los Alamos, NM, United States and Katrina E Bennett, Los Alamos National Lab, Los Alamos, NM, United States
Determining the Detection Threshold of Unpiloted Aerial System Lidar Snow Depth Retrievals using Coincident Snow Covered Area Observations (1054027)
Adam Hunsaker, University of New Hampshire Main Campus, Durham, United States, Cameron Wagner, University of New Hampshire Main Campus, Civil Engineering, Durham, NH, United States, Jennifer M Jacobs, University of New Hampshire, Institute for the Study of Earth, Oceans, and Space; Civil and Environmental Engineering, Durham, NH, United States, Eunsang Cho, NASA Goddard Space Flight Center, University of Maryland, College Park, United States and Megan Verfaillie, University of New Hampshire Main Campus, Durham, NH, United States
Investigating Differences Between Digital Snow Surface Models Obtained from Ground- and Drone-Based LiDAR Scans with Streamlined Post-Processing to Maximize Efficiency and Accuracy of LiDAR-Based Investigations of Forest-Snow Relationships in Mountainous Environments (1096644)
Kristina Deenik1, Bruno-Charles Busseau1, Kim C Green2 and Cydne Rae Potter3, (1)Selkirk College, Selkirk Innovates, Castlegar, BC, Canada, (2)Selkirk College, Selkirk Innovates, Castlegar, Canada, (3)University of Victoria, Victoria, BC, Canada
A Methodology to map Maximum Global Snow Cover during the MODIS Era (1110665)
Dorothy K Hall, University of Maryland College Park, College Park, MD, United States, Carrie Vuyovich, NASA Goddard Space Flight Center, Greenbelt, United States, George Riggs, Science Systems and Applications, Inc., Lanham, United States and Nicolo E. DiGirolamo, Science Systems and Applications, Inc., Lanham, MD, United States
Assessment of Plot-scale Airborne LiDAR Derived Snow Depth within Forested Terrain in Russell Creek Experimental Watershed, British Columbia (1118572)
Alison Bishop1,2, Bill C Floyd2,3, Joseph M. Shea1, Brian Menounos1,4, Rosie Bisset1,2, Griffin Fisk2, Sergey Marchenko1,2 and Hakai Geospatial4, (1)University of Northern British Columbia, Geography Earth and Environmental Sciences, Prince George, BC, Canada, (2)Vancouver Island University, Coastal Hydrology Research Lab, Nanaimo, BC, Canada, (3)British Columbia Ministry of Forests, Nanaimo, BC, Canada, (4)Hakai Institute, Campbell River, BC, Canada
Retrieval of Snowpack Density and Ice Grain Radius From Time-Domain Diffuse Optical Measurements (1120597)
Connor Henley, Massachusetts Institute of Technology, Cambridge, MA, United States, Joseph Hollmann, The Charles Stark Draper Laboratory, Cambridge, United States, Colin Meyer, Dartmouth College, Thayer School of Engineering, Hanover, United States and Ramesh Raskar, Massachusetts Institute of Technology, Cambridge, United States
Spatial Heterogeneity of Arctic Tundra Snow and Water Storage using Remotely Piloted Aircraft Systems (RPAS) (1152925)
B. Walker1, Philip Marsh2 and Rosamond Tutton2, (1)Wilfrid Laurier University, Waterloo, ON, Canada, (2)Wilfrid Laurier University, Cold Regions Research Centre, Waterloo, ON, Canada
Snow Property and Soil Moisture Estimation from a Mobile L-Band Interferometric Synthetic Aperture Radar Platform (1161084)
Elias J Deeb1, Tate Meehan1, Hans-Peter Marshall2, Richard R Forster3, Charles L Werner4, Blaine F Morriss1 and Jewell Lund5, (1)U.S. Army Cold Regions Research and Engineering Laboratory, Hanover, NH, United States, (2)Boise State University, Department of Geosciences, Boise, ID, United States, (3)Department of Geography, University of Utah, Salt Lake City, UT, United States, (4)Gamma Remote Sensing, Guemligen, Switzerland, (5)Colorado State University, Fort Collins, United States
LiDAR-derived snow depth and associated uncertainties from four forested watersheds in south-western British Columbia. (1165050)
Bill C Floyd1,2, Rosie Bisset1,3, Brian Menounos3,4, Alison Bishop1,3, Hakai Geospatial4, Alex Cebulski5,6, Griffin Fisk1, Sergey Marchenko1,3 and Peter Marshall7, (1)Vancouver Island University, Coastal Hydrology Research Lab, Nanaimo, BC, Canada, (2)British Columbia Ministry of Forests, Nanaimo, BC, Canada, (3)University of Northern British Columbia, Geography Earth and Environmental Sciences, Prince George, BC, Canada, (4)Hakai Institute, Campbell River, BC, Canada, (5)University of Saskatchewan, Centre for Hydrology, Canmore, AB, Canada, (6)Vancouver Island University, Geography, Nanaimo, Canada, (7)Metro Vancouver, Vancouver, BC, Canada
Enhance! Combining active and passive spaceborne microwave observations to produce day-scale, sub-kilometer resolved snowmelt imagery. (1165308)
George Duffy1, Samuel E Tuttle1, Angela Rienzo2, Carrie Vuyovich3 and Elias J Deeb4, (1)Syracuse University, Earth and Environmental Sciences, Syracuse, United States, (2)Syracuse University, Earth and Environmental Sciences, Syracuse, NY, United States, (3)NASA Goddard Space Flight Center, Greenbelt, United States, (4)U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Hanover, United States
Satellite Stereo Snow Depth Retrievals over Complex Terrain (1169019)
J Michelle Hu1, David E Shean1 and Shashank Bhushan2, (1)University of Washington, Department of Civil and Environmental Engineering, Seattle, United States, (2)University of Washington, Civil & Environmental Engineering, Seattle, WA, United States
Improving ease of access to Landsat snowmelt runoff modeling using the commercial cloud environment (1169685)
Chase Mueller, Organization Not Listed, Washington, DC, United States, Saeed Arab, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, LSRD, Sioux Falls, United States and Christopher J Crawford, USGS Earth Resources Observation and Science (EROS) Center Sioux Falls, Sioux Falls, SD, United States
Interpreting Snowmelt Events from Passive Microwave Observations (1171577)
Angela Rienzo, Syracuse University, Earth and Environmental Sciences, Syracuse, NY, United States, Carrie Vuyovich, University of New Hampshire, Hanover, United States, Elias J Deeb, U.S. Army Corps of Engineers, Cold Regions Research and Engineering Laboratory, Hanover, United States, George Duffy, Jet Propulsion Laboratory, Nashville, TN, United States and Samuel E Tuttle, Syracuse University, Earth and Environmental Sciences, Syracuse, United States
Snow acoustic and optical measurements and modeling (1172409)
Zoe Courville1, Taylor Hodgdon2, Theodore Letcher3, Julie Parno1, Brendan Adams West1 and Carl Hart4, (1)Cold Regions Research and Engineering Laboratory, Hanover, NH, United States, (2)Cold Regions Research and Engineering Laboratory, Hanover, United States, (3)US Army Engineer Research and Development Center, Cold Regions Research and Engineering Laboratory, Hanover, United States, (4)US Army Cold Regions, Hanover, United States
Changes in Snow Cover of Andes Mountains from MODIS Data 2000-2021 (1184286)
Freddy Saavedra1, Daniela Gonzalez2, Yael Aguirre2, Valentina Contreras2, Ana Hernández-Duarte3, Alexis Caro4 and Carlos Romero2, (1)Universidad de Playa Ancha, Valparaíso, Chile, (2)Universidad de Playa Ancha, Departamento de Ciencias y Geografía, Valparaíso, Chile, (3)Organization Not Listed, Washington, DC, United States, (4)Université Grenoble Alpes, CNRS, IRD, Grenoble-INP, Institut des Géosciences de l’Environnement (UMR 5001), Grenoble, France
Analyzing 22 years of snow darkening and dust radiative forcing from MODIS in the Upper Colorado River Basin (1186836)
Patrick Naple, University of Utah, Geography, Salt Lake City, UT, United States, McKenzie Skiles, University of Utah, Geography, Salt Lake City, United States and Karl Rittger, University of Colorado at Boulder, Institute for Arctic and Alpine Research, Boulder, United States
