Short Course: 1:00pm to 4:30pm
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This short course was led by Kristine Larson (CU) and Shimon Wdowinski (RSMAS). Requirements - A laptop with matlab software installed. If you would like to use something other than Matlab, please contact Kristine Larson prior to the workshop to discuss libraries.
Instructor's Contact Information:
|1:00pm - 2:30pm||Using GPS to measure snow depth, sea level, and vegetation growth, K. Larson|
|2:30pm - 3:00pm||Break|
|3:00pm - 4:30pm||Using InSAR to measure surface and subsurface water movements, S. Wdowinski|
Reflected signals (multipath) are an insidious and annoying error source in GPS positioning applications. However, in some situations GPS reflections can be turned into useful hydrologic quantities using simple interferometric relationships. In this short course I will briefly overview how reflections can be quantified from GPS signal to noise ratio (SNR) data. Attendees will then use SNR data to either measure snow depth at Niwot Ridge, CO or sea level at Friday Harbor, WA.
Interferometric Synthetic Aperture Radar (InSAR) is a very powerful technique for detecting cm-level displacements of the Earth's surface over wide swaths (5-400 km) with high spatial resolution (1-100 m pixel resolution). It is widely used to study earthquake and magmatic induced crustal deformation as well as glacier flow. InSAR is also very effective in hydrological studies, as it provides high spatial resolution observations of surface changes induced by surface and subsurface water movements. Hydrological applications of InSAR include wetland surface flow, aquifer deformation and storage change, soil moisture content, and snowpack mass distribution.
The course will cover the basic principles of InSAR, data type, data processing, InSAR time series, and the various hydrological applications. The course also includes a tutorial on using InSAR observations for studying wetland and aquifer hydrology.
Last modified: Wednesday, 09-Jul-2014 03:51:54 UTC