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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jacobson, M. D. |
| Copyright Year | 2015 |
| Description | Author affiliation: Montana State University Billings, 1500 University Drive, 59101, USA (Jacobson, M. D.) |
| Abstract | Recently, it has been reported that the refracted, reflected and scattered signals of global navigation satellite systems (GNSS) have been successfully used to remotely sense the Earth's surface and atmosphere. For example, it has been reported that reflected global positioning system (GPS) signals can provide useful information about the land-surface composition such as snow depth. From recent snow depth studies, this promising new technique has been given the name GPS interferometric reflectometry (GPS-IR). This method is basically an L-band ground-based interferometer. Its basic mechanism is the interference between the direct (line-of-sight) signal and the multipath signals, reflected from near-ground surfaces such as snow, ice, water, etc. Here, we explore the possibility of estimating freshwater lake ice thickness. In particular, a GPS receiver is located above a frozen lake. With this setup, the received power variations with respect to the changing satellite elevation angle are calculated and measured. A case study shows potential for inferring lake ice thickness by fitting the theory to the measurements using a nonlinear least squares fitting algorithm. |
| Starting Page | 288 |
| Ending Page | 288 |
| File Size | 129483 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781479978175 |
| DOI | 10.1109/USNC-URSI.2015.7303572 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-07-19 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Content Type | Text |
| Resource Type | Synopsis |
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