C13E:
Remote Sensing of the Cryosphere: NASA SnowEx and Multisensor Approaches to Measure Snow Water Equivalent II Posters

Submit an Abstract to this Session



Session ID#: 22687

Session Description:
Snow is of key interest for water resources, natural hazards, water security and weather/climate. Accurate measurement of snow-water equivalent (SWE) enables improved management of freshwater resources. However, current remote sensing techniques underestimate SWE especially in densely-forested areas around the globe, making estimation of SWE challenging. The conveners solicit papers on the measurement of SWE and snow energy balance in different canopy types and densities using a combination of ground, aircraft and satellite instruments. To address the challenges of measuring energy balance and SWE in forested areas, we must determine the sensitivity and accuracy of different remote sensing techniques, such as active and passive microwave, imaging spectrometry and lidar. Papers based on in-situ measurements and modeling are also solicited, to improve our understanding of the retrieval of SWE from space, and to aid in quantifying the accuracy of SWE retrieval using multiple sensing techniques and modeling under varying conditions.
Primary Convener:  Dorothy K Hall, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States
Conveners:  Edward J Kim, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Charles K Gatebe, NASA Ames Research Center, Moffett Field, CA, United States and Kelly Elder, US Forest Service Fort Collins, Fort Collins, CO, United States
Chairs:  Charles K Gatebe, NASA Ames Research Center, Moffett Field, CA, United States, Dorothy K Hall, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States, Edward J Kim, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Kelly Elder, US Forest Service, Rocky Mountain Research Station, Fort Collins, CO, United States
OSPA Liaison:  Dorothy K Hall, University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, United States
Co-Organized with:
Cryosphere, and Hydrology

Cross-Listed:
  • H - Hydrology
Index Terms:

0736 Snow [CRYOSPHERE]
0740 Snowmelt [CRYOSPHERE]

Abstracts Submitted to this Session:

The behavior of the microwave emission of a conifer canopy during the fall-winter in Sodankylä, Finland (298516)
Qinghuan Li1, Richard E J Kelly2, Juha Lemmetyinen3 and Anna Kontu3, (1)University of Waterloo, Waterloo, ON, Canada, (2)University of Waterloo, Geography and Environmental Management, Waterloo, ON, Canada, (3)Finnish Meteorological Institute, Helsinki, Finland
Investigating the Relationships between Canopy Characteristics and Snow Depth Distribution at Fine Scales: Preliminary Results from the SnowEX TLS Campaign (285838)
Zachary Uhlmann1, Nancy F Glenn2, Lucas Spaete2, Christopher Tennant3, Christopher A Hiemstra4 and Jim P McNamara5, (1)USDA-ARS Northwest Watershed Research Center, Boise, ID, United States, (2)Boise State University, Department of Geosciences, Boise, ID, United States, (3)University of California Berkeley, Geography, Berkeley, CA, United States, (4)Cold Regions Research and Engineering Laboratory Alaska, Fort Wainwright, AK, United States, (5)Boise State University, Boise, ID, United States
Radar Retrieval Algorithm for Snow Water Equivalent Applied to SnowSAR and Scatterometer Data (243897)
Jiyue Zhu, University of Michigan Ann Arbor, Ann Arbor, MI, United States, Shurun Tan, Zhejiang University, Zhejiang University/University of Illinois at Urbana-Champaign Institute, Haining, China, Leung Tsang, University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, United States, Juha Lemmetyinen, Finnish Meteorological Institute, Helsinki, Finland, Joshua M King, Environment and Climate Change Canada, Climate Reseach Division, Toronto, ON, Canada, Edward J Kim, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Chris Derksen, Environment and Climate Change Canada, Climate Research Division, Toronto, ON, Canada
Mapping snow depth distribution in forested terrain using unmanned aerial vehicles and structure-from-motion (272534)
Yves Bühler1, Clare Webster2, Michael Schirmer3, Andreas Stoffel1, Giulia Mazzotti4 and Tobias Jonas1, (1)WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland, (2)University of Zurich, Zurich, Switzerland, (3)WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland, (4)Univ. Grenoble Alpes, Univ. de Toulouse, Météo-France, CNRS, CNRM, Centre d’Études de la Neige, Grenoble, France
Seeing through the forest: New forest structure metrics improve process understanding of snow-forest dynamics (294567)
Travis R. Roth, Bonneville Power Administration, Weather and Streamflow Forecasting, Portland, OR, United States and Anne Walden Nolin, University of Nevada Reno, Geography, Reno, United States
Supporting Snow Research: SnowEx Data and Services at the NASA National Snow and Ice Data Center DAAC (280835)
Amanda Leon1, Steve Tanner2 and Jeffrey S Deems2, (1)National Snow and Ice Data Center (NSIDC), CIRES, University of Colorado Boulder, Boulder, United States, (2)National Snow and Ice Data Center, Boulder, CO, United States
Enhancing Snow Water Equivalent Capabilities with Multifrequency, Multi-polarization, Very High-Resolution Synthetic Aperture Radar Information (224765)
Sheldon Drobot1, Kerry Speed2, Tim Durham2 and Robert Taylor2, (1)Harris Corporation Fort Wayne, Fort Wayne, IN, United States, (2)Harris, Palm Bay, United States
Mapping Snow Depth From Ka-band Interferometry (267499)
Delwyn Moller, Remote Sensing Solutions, Inc., Pasadena, CA, United States, Konstantinos Andreadis, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States, Kathryn J Bormann, JPL/NASA/Caltech, Pasadena, CA, United States, Jeffrey S Deems, National Snow and Ice Data Center, Boulder, CO, United States, Scott Hensley, JPL-Radar Science & Engrg, Pasadena, United States and Thomas H Painter, Jet Propulsion Laboratory, Pasadena, CA, United States
Merging datasets from NASA SnowEx to better understand how snow falls and moves. (294173)
Joel Agustin Gongora, Boise State University, Geosciences, Boise, ID, United States, Hans-Peter Marshall, Boise State Univ, Boise, ID, United States and Nancy F Glenn, Boise State Univ, Boise, United States
UWScat observations of snow on Grand Mesa, Colorado – Backscatter and polarimetric response of snow in a canopy and snow on the ground (294589)
Aaron Douglas Thompson, University of Waterloo, Geography and Environmental Management, Waterloo, ON, Canada and Richard E J Kelly, University of Waterloo, Geography and Environmental Management, Waterloo, ON, Canada

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