F. Geremia-Nievinski, T. Hobiger, R. Haas, W. Liu, J. Strandberg, S. Tabibi, S. Vey, J. Wickert, and S. Williams (2020), SNR-based GNSS relectometry for coastal sea-level altimetry: results from the irst IAG inter-comparison campaign, Journal of Geodesy, doi:10.1007/s10291-019-0851-1.
J. Strandberg,, T. Hobiger, and R. Haas (2019), Real-time sea-level monitoring using Kalman filtering of GNSS-R data, GPS Solutions, 23: 61, doi:10.1007/s10291-019-0851-1 (open access).
J. Strandberg, and R. Haas (2019), Can We Measure Sea Level With a Tablet Computer?, IEEE Geoscience and Remote Sensing Letters, doi:10.1109/LGRS.2019.2957545.
J. Strandberg,, T. Hobiger, and R. Haas (2018), Toward real-time GNSS reflectometry using Kalman filtering, Proceedings for IGARSS 2018, 2043-2046, doi:10.1109/IGARSS.2018.8518273.
J. Strandberg, (2017), Inverse modelling of GNSS multipath (Licentiate thesis).
J. Strandberg,, T. Hobiger, and R. Haas (2017), Coastal sea ice detection using ground-based GNSS-R, IEEE Geoscience and Remote Sensing Letters, 14(9), 1552–1556, doi: 10.1109/LGRS.2017.2722041.
J. Strandberg,, T. Hobiger, and R. Haas (2016), Improving GNSS-R sea level determination through inverse modeling of SNR data, Radio Science, 51, 1286–1296, doi:10.1002/2016RS006057.
J. Strandberg,, T. Hobiger, and R. Haas (2016), Inverse modelling of GNSS multipath for sea level measurements - initial results, Proceedings for IGARSS 2016, 1867–1869, doi:10.1109/IGARSS.2016.7729479.