| Improving GNSS-R sea level determination through inverse modeling of SNR data J Strandberg, T Hobiger, R Haas Radio science 51 (8), 1286-1296, 2016 | 117 | 2016 |
| SNR-based GNSS reflectometry for coastal sea-level altimetry: results from the first IAG inter-comparison campaign F Geremia-Nievinski, T Hobiger, R Haas, W Liu, J Strandberg, S Tabibi, ... Journal of geodesy 94 (8), 70, 2020 | 100 | 2020 |
| Real-time sea-level monitoring using Kalman filtering of GNSS-R data J Strandberg, T Hobiger, R Haas GPS solutions 23 (3), 61, 2019 | 66 | 2019 |
| Coastal sea ice detection using ground-based GNSS-R J Strandberg, T Hobiger, R Haas IEEE geoscience and remote sensing letters 14 (9), 1552-1556, 2017 | 55 | 2017 |
| Quantifying the uncertainty in ground-based GNSS-reflectometry sea level measurements D Purnell, N Gomez, NH Chan, J Strandberg, DM Holland, T Hobiger IEEE journal of selected topics in applied earth observations and remote …, 2020 | 38 | 2020 |
| Can we measure sea level with a tablet computer? J Strandberg, R Haas IEEE Geoscience and Remote Sensing Letters 17 (11), 1876-1878, 2019 | 18 | 2019 |
| On the response of polarimetric GNSS-reflectometry to sea surface roughness M Hoseini, M Semmling, H Nahavandchi, E Rennspiess, M Ramatschi, ... IEEE Transactions on Geoscience and Remote Sensing 59 (9), 7945-7956, 2020 | 12 | 2020 |
| New methods and applications for interferometric GNSS reflectometry J Strandberg PQDT-Global, 2020 | 8 | 2020 |
| Towards real-time gnss reflectometry using kalman filtering J Strandberg, T Hobiger, R Haas IGARSS 2018-2018 IEEE International Geoscience and Remote Sensing Symposium …, 2018 | 4 | 2018 |
| Inverse modelling of GNSS multipath for sea level measurements-initial results J Strandberg, T Hobiger, R Haas 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 4 | 2016 |
| Troposphere delays from ground-based GNSS-R-self-calibration and new possibilites for atmosphere research T Hobiger, J Strandberg, R Haas EGU General Assembly Conference Abstracts, 1995, 2017 | 3 | 2017 |
| Time series classification for identification of radar targets J Strandberg | 3 | 2015 |
| Inverse modeling of ground-based GNSS-R—Results and new possibilities T Hobiger, J Strandberg, R Haas 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017 | 2 | 2017 |
| Inverse modelling of GNSS multipath signals J Strandberg PQDT-Global, 2017 | 2 | 2017 |
| Calibrating tropospheric errors on ground-based GNSS reflectometry: Calculation of bending and delay effects P Feng, R Haas, G Elgered, J Strandberg EGU General Assembly Conference Abstracts, EGU22-12698, 2022 | 1 | 2022 |
| On the Impact of Sea State on GNSS-R Polarimetric Observations M Hoseini, M Semmling, E Rennspiess, M Ramatschi, R Haas, ... | 1 | 2020 |
| Output data for manuscript" SNR-based GNSS reflectometry for coastal sea-level altimetry–Results from the first IAG inter-comparison campaign" F Nievinski, T Hobiger, R Haas, W Liu, J Strandberg, S TABIBI, S Vey, ... | 1 | 2019 |
| Versatile and low-cost GNSS-R receivers by means of software defined radio T Hobiger, J Strandberg, R Gähwiler AGU Fall Meeting Abstracts 2018, G51D-0511, 2018 | 1 | 2018 |
| Onsala Space Observatory–IVS Analysis Center Activities During 2017–2018 R Haas, T Hobiger, HG Scherneck, N Kareinen, G Klopotek, ... IVS 2018, 234-238, 2017 | 1 | 2017 |
| Ground-based GNSS-R solutions by means of software defined radio T Hobiger, R Haas, J Strandberg 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2016 | 1 | 2016 |
Rüdiger HaasProfessor i rymdgeodesi, Chalmers tekniska högskolaVerifierad e-postadress på chalmers.se
