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...

Full description

Bibliographic Details
Published in:2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Main Authors: Hobiger, Thomas, Strandberg, Joakim, Haas, Rüdiger
Language:unknown
Published: 2017
Subjects:
ice
Online Access:https://doi.org/10.1109/IGARSS.2017.8127547
https://research.chalmers.se/en/publication/f6ef09d2-4507-4bca-b321-39f29804274b
id ftchalmersuniv:oai:research.chalmers.se:501755
record_format openpolar
spelling 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
institution Open Polar
collection Chalmers University of Technology: Chalmers research
op_collection_id ftchalmersuniv
language 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
_version_ 1766194643713654784