Inverse modeling of ground-based GNSS-r - Results and new possibilities
Inverse modeling of ground-based GNSS reflections has the potential to improve existing GNSS-R applications and lead to novel concepts for retrieving geophysical parameters around existing or deliberately built GNSS sites. As we will show in this paper, consistent, accurate and precise determination...
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ftchalmersuniv:oai:research.chalmers.se:501755 2023-05-15T18:18:10+02:00 Inverse modeling of ground-based GNSS-r - Results and new possibilities Hobiger, Thomas Strandberg, Joakim Haas, Rüdiger 2017 text https://doi.org/10.1109/IGARSS.2017.8127547 https://research.chalmers.se/en/publication/f6ef09d2-4507-4bca-b321-39f29804274b unknown http://dx.doi.org/10.1109/IGARSS.2017.8127547 https://research.chalmers.se/en/publication/f6ef09d2-4507-4bca-b321-39f29804274b Geotechnical Engineering Other Physics Topics Geophysics GNSS-R troposphere delay snow inverse modeling ice sea-level ground-based instruments 2017 ftchalmersuniv https://doi.org/10.1109/IGARSS.2017.8127547 2023-03-22T23:34:34Z Inverse modeling of ground-based GNSS reflections has the potential to improve existing GNSS-R applications and lead to novel concepts for retrieving geophysical parameters around existing or deliberately built GNSS sites. As we will show in this paper, consistent, accurate and precise determination of sea-surface heights can be realized. Moreover, we demonstrate that it is possible to detect sea-ice freeze states at coastal GNSS sites. In addition, it will be shown how the inverse modeling approach can be used for self-calibration of troposphere delays, which would otherwise bias the target parameters and need to be corrected for by external measurements or data-sets. Other/Unknown Material Sea ice Chalmers University of Technology: Chalmers research 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2671 2681 |
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Open Polar |
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Chalmers University of Technology: Chalmers research |
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ftchalmersuniv |
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unknown |
topic |
Geotechnical Engineering Other Physics Topics Geophysics GNSS-R troposphere delay snow inverse modeling ice sea-level ground-based instruments |
spellingShingle |
Geotechnical Engineering Other Physics Topics Geophysics GNSS-R troposphere delay snow inverse modeling ice sea-level ground-based instruments Hobiger, Thomas Strandberg, Joakim Haas, Rüdiger Inverse modeling of ground-based GNSS-r - Results and new possibilities |
topic_facet |
Geotechnical Engineering Other Physics Topics Geophysics GNSS-R troposphere delay snow inverse modeling ice sea-level ground-based instruments |
description |
Inverse modeling of ground-based GNSS reflections has the potential to improve existing GNSS-R applications and lead to novel concepts for retrieving geophysical parameters around existing or deliberately built GNSS sites. As we will show in this paper, consistent, accurate and precise determination of sea-surface heights can be realized. Moreover, we demonstrate that it is possible to detect sea-ice freeze states at coastal GNSS sites. In addition, it will be shown how the inverse modeling approach can be used for self-calibration of troposphere delays, which would otherwise bias the target parameters and need to be corrected for by external measurements or data-sets. |
author |
Hobiger, Thomas Strandberg, Joakim Haas, Rüdiger |
author_facet |
Hobiger, Thomas Strandberg, Joakim Haas, Rüdiger |
author_sort |
Hobiger, Thomas |
title |
Inverse modeling of ground-based GNSS-r - Results and new possibilities |
title_short |
Inverse modeling of ground-based GNSS-r - Results and new possibilities |
title_full |
Inverse modeling of ground-based GNSS-r - Results and new possibilities |
title_fullStr |
Inverse modeling of ground-based GNSS-r - Results and new possibilities |
title_full_unstemmed |
Inverse modeling of ground-based GNSS-r - Results and new possibilities |
title_sort |
inverse modeling of ground-based gnss-r - results and new possibilities |
publishDate |
2017 |
url |
https://doi.org/10.1109/IGARSS.2017.8127547 https://research.chalmers.se/en/publication/f6ef09d2-4507-4bca-b321-39f29804274b |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://dx.doi.org/10.1109/IGARSS.2017.8127547 https://research.chalmers.se/en/publication/f6ef09d2-4507-4bca-b321-39f29804274b |
op_doi |
https://doi.org/10.1109/IGARSS.2017.8127547 |
container_title |
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) |
container_start_page |
2671 |
op_container_end_page |
2681 |
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1766194643713654784 |