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TitleApplication of GNSS interferometric reflectometry for the estimation of lake ice thickness
 
AuthorGhiasi, Y; Duguay, C R; Murfitt, J; van der Sanden, J JORCID logo; Thompson, A; Drouin, HORCID logo; Prévos, C
SourceRemote Sensing vol. 12, issue 17, 1662, 2020 p. 1-9, https://doi.org/10.3390/RS12172721 Open Access logo Open Access
Image
Year2020
Alt SeriesNatural Resources Canada, Contribution Series 20200442
PublisherMDPI AG
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf; html
SubjectsScience and Technology; ice thicknesses; global navigation satellite systems (GNSS); Global positioning systems
Illustrationsdiagrams; graphs
Released2020 08 23
AbstractLake ice thickness is a sensitive indicator of climate change largely through its dependency on near-surface air temperature and on-ice snow mass (depth and density). Monitoring of the seasonal variations and trends in ice thickness is also important for the operation of winter ice roads that northern communities rely on for the movement of goods as well as for cultural and leisure activities (e.g., snowmobiling). Therefore, consistent measurements of ice thickness over lakes is important; however, field measurements tend to be sparse in both space and time in many northern countries. Here, we present an application of L-band frequency Global Navigation Satellite System (GNSS) Interferometric Reflectometry (GNSS-IR) for the estimation of lake ice thickness. The proof of concept is demonstrated through the analysis of Signal-to-Noise Ratio (SNR) time series extracted from Global Positioning System (GPS) constellation L1 band raw data acquired between 8 and 22 March (2017 and 2019) at 14 lake ice sites located in the Northwest Territories, Canada. Dominant frequencies are extracted using Least Squares Harmonic Estimation (LS-HE) for the retrieval of ice thickness. Estimates compare favorably with in-situ measurements (mean absolute error = 0.05 m, mean bias error = -0.01 m, and root mean square error = 0.07 m). These results point to the potential of GPS/GNSS-IR as a complementary tool to traditional field measurements for obtaining consistent ice thickness estimates at many lake locations, given the relatively low cost of GNSS antennas/receivers.
GEOSCAN ID327259

 
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