<p dir="ltr">In Global Navigation Satellite Systems Reflectometry (GNSS-R) a critical theme is in un-<br>derstanding and delving into determining specular points, and how to optimize its solutions.<br>The implications are significant for soil moisture, Snow Water Equivalent (SWE), water stor-<br>age, and climate dynamics. For instance, the Signals of Opportunity in P-Band Investigation<br>(SNOOPI) will utilize observations in reference to the specular point to evaluate measurements<br>that could be used to determine water content, soil moisture, and SWE. The focus of this<br>study is presenting and evaluating two prominent methods for determining specular points:<br>the Minimum Path Delay (MPL) and the Unit Difference (UD). Specular point determin-<br>nation presents various challenges which include: surface roughness, temporal and spatial<br>variability, and multipath effects. All of these earth’s surface characteristics pose a challenge<br>for scientists and engineers who wish to collect terrestrial parameters. The analysis in this<br>study offers a comparative approach focusing on data from the simulator for the CubeSat<br>SNOOPI mission is to evaluate specular point determination accuracy as well as offer a real-<br>world application to determine the efficacy of the two methods. Through this evaluation,<br>the researcher aims to improve specular point determination techniques used in the GNSS-R<br>community and offer insights into future techniques and how they can support each other<br>for more precise results.<br></p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/24302830 |
| Date | 13 October 2023 |
| Creators | Elisa Rivera (17139109) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/A_COMPARATIVE_STUDY_OF_THREE_METHODS_USED_INGLOBAL_NAVIGATION_SATELLITE_SYSTEMREFLECTOMETRY_GNSS-R_FOR_SPECULAR_POINTCALCULATION_APPLIED_TO_SIGNALS_OF_OPPORTUNITYP-BAND_INVESTIGATION_SNOOPI_/24302830 |
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