C13E:
Remote Sensing of Seasonal Snow Posters
C13E:
Remote Sensing of Seasonal Snow Posters
Remote Sensing of Seasonal Snow Posters
Submit an Abstract to this Session
Session ID#: 53334
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 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 monitoring seasonal snow and snow water resources from spaceborne and airborne (manned and unmanned aircraft) platforms. Presentations will address a range of topics including instrument and platform development, targeted campaigns, new and historical observations, analysis methods and techniques, multi-sensor combinations, 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.
Primary Convener: McKenzie Skiles, University of Utah, Geography, Salt Lake City, UT, United States
Conveners: Kathryn J Bormann, JPL/NASA/Caltech, Pasadena, CA, United States, Andrew R Hedrick, USDA Agricultural Research Service, Boise, ID, United States and Oliver Wigmore, University of Colorado at Boulder, Boulder, CO, United States
Primary Liaison: McKenzie Skiles, University of Utah, Geography, Salt Lake City, UT, United States
Chairs: Oliver Wigmore, University of Colorado at Boulder, Boulder, CO, United States and Andrew R Hedrick, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States
OSPA Liaison: Andrew R Hedrick, USDA-ARS, Northwest Watershed Research Center, Boise, ID, United States
Cross-Listed:
- GC - Global Environmental Change
- H - Hydrology
Index Terms:
0740 Snowmelt [CRYOSPHERE]
0758 Remote sensing [CRYOSPHERE]
0772 Distribution [CRYOSPHERE]
1863 Snow and ice [HYDROLOGY]
Abstracts Submitted to this Session:
Uncertainty Quantification and Reduced-Order Error Modeling for Microwave Remote Sensing of Snow (444201)
Continuous Validation of EUMETSAT-HSAF Fractional Snow Cover Product (H12) by using Sentinel-2A Data (405871)
See more of: Cryosphere
