GNSS Reflectometry: Difference between revisions

From IcingWiki
Jump to navigation Jump to search
← Older editNewer edit →
VisualWikitext
Uwasa (talk | contribs)
60 edits
No edit summary
Uwasa (talk | contribs)
60 edits
No edit summary
Line 1: Line 1:
Global Navigation Satellite System (GNSS) satellites transmits navigation signals from Earth orbits to terrestial receivers to help them find their location. These radio signals are also reflecting from the ground and by monitoring these reflections, the properties of the ground can be examined <ref name=King_2020 />. This kind of analysis is called as GNSS reflectometry.
Global Navigation Satellite System (GNSS) satellites transmits navigation signals from Earth orbits to terrestial receivers to help them find their location. These radio signals are also reflecting from the ground and by monitoring these reflections, the properties of the ground can be examined <ref name=King_2020 />. This kind of analysis is called as GNSS reflectometry.


GNSS reflectometry has been used for detecting sea ice thickness <ref name=Yan_2017/> <ref name=Alonso-Arroyo_2017 /> <ref name=Semmling_2019 /><ref name=Yan_2016 /> <ref name=Yan_2018/><ref name=Southwell_2020/> <ref name=Strandberg_2017/><ref name=Zhu_2020/><ref name=Yan_2020/>
GNSS reflectometry has been used for detecting sea ice thickness <ref name=Yan_2017/> <ref name=Alonso-Arroyo_2017 /> <ref name=Semmling_2019 /><ref name=Yan_2016 /> <ref name=Yan_2018/><ref name=Southwell_2020/> <ref name=Strandberg_2017/><ref name=Zhu_2020/><ref name=Yan_2020/><ref name=Southwell_2020b/>


GNSS-R is also popular for other sea target analysis which is not directly related to icing. <ref name=King_2020/> <ref name=Di_2017/><ref name=Valencia_2013/>
GNSS-R is also popular for other sea target analysis which is not directly related to icing. <ref name=King_2020/> <ref name=Di_2017/><ref name=Valencia_2013/>
Line 37: Line 37:
<ref name=Zhu_2020>{{Cite journal| doi = 10.1109/JSTARS.2019.2955175| issn = 2151-1535| volume = 13| pages = 217–226| last1 = Zhu| first1 = Yongchao| last2 = Tao| first2 = Tingye| last3 = Yu| first3 = Kegen| last4 = Li| first4 = Zhenxuan| last5 = Qu| first5 = Xiaochuan| last6 = Ye| first6 = Zhourun| last7 = Geng| first7 = Jun| last8 = Zou| first8 = Jingui| last9 = Semmling| first9 = Maximilian| last10 = Wickert| first10 = Jens| title = Sensing sea ice based on doppler spread analysis of spaceborne GNSS-R data| journal = IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing| date = 2020}}
<ref name=Zhu_2020>{{Cite journal| doi = 10.1109/JSTARS.2019.2955175| issn = 2151-1535| volume = 13| pages = 217–226| last1 = Zhu| first1 = Yongchao| last2 = Tao| first2 = Tingye| last3 = Yu| first3 = Kegen| last4 = Li| first4 = Zhenxuan| last5 = Qu| first5 = Xiaochuan| last6 = Ye| first6 = Zhourun| last7 = Geng| first7 = Jun| last8 = Zou| first8 = Jingui| last9 = Semmling| first9 = Maximilian| last10 = Wickert| first10 = Jens| title = Sensing sea ice based on doppler spread analysis of spaceborne GNSS-R data| journal = IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing| date = 2020}}
</ref>
</ref>
<ref name=Southwell_2020>{{Cite journal| doi = 10.1109/TGRS.2020.2973142| issn = 1558-0644| volume = 58| issue = 8| pages = 5922–5931| last1 = Southwell| first1 = Benjamin J.| last2 = Cheong| first2 = Joon Wayn| last3 = Dempster| first3 = Andrew G.| title = A matched filter for spaceborne GNSS-R based sea-target detection| journal = IEEE Transactions on Geoscience and Remote Sensing| date = 2020}}
<ref name=Southwell_2020b>{{Cite journal| doi = 10.1109/TGRS.2020.2973142| issn = 1558-0644| volume = 58| issue = 8| pages = 5922–5931| last1 = Southwell| first1 = Benjamin J.| last2 = Cheong| first2 = Joon Wayn| last3 = Dempster| first3 = Andrew G.| title = A matched filter for spaceborne GNSS-R based sea-target detection| journal = IEEE Transactions on Geoscience and Remote Sensing| date = 2020}}
</ref>
</ref>
</references>
</references>

Revision as of 01:24, 9 December 2021

Global Navigation Satellite System (GNSS) satellites transmits navigation signals from Earth orbits to terrestial receivers to help them find their location. These radio signals are also reflecting from the ground and by monitoring these reflections, the properties of the ground can be examined [1]. This kind of analysis is called as GNSS reflectometry.

GNSS reflectometry has been used for detecting sea ice thickness [2] [3] [4][5] [6][7] [8][9][10][11]

GNSS-R is also popular for other sea target analysis which is not directly related to icing. [1] [12][13]

Many research articles concentrating in method develoment, are also indirectly related to icing [14] [15]

References

  1. ↑ 1.0 1.1 King, Lucinda S.; Unwin, Martin; Rawlinson, Jonathan; Guida, Raffaella; Underwood, Craig (2020). "Processing of raw GNSS reflectometry data from TDS-1 in a backscattering configuration". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 2916–2924. doi:10.1109/JSTARS.2020.2997199. ISSN 2151-1535.
  2. ↑ Yan, Qingyun; Huang, Weimin; Moloney, Cecilia (2017). "Neural networks based sea ice detection and concentration retrieval from GNSS-R delay-doppler maps". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10 (8): 3789–3798. doi:10.1109/JSTARS.2017.2689009. ISSN 2151-1535.
  3. ↑ Alonso-Arroyo, Alberto; Zavorotny, Valery U.; Camps, Adriano (2017). "Sea ice detection using U.K. TDS-1 GNSS-R data". IEEE Transactions on Geoscience and Remote Sensing. 55 (9): 4989–5001. doi:10.1109/TGRS.2017.2699122. ISSN 1558-0644.
  4. ↑ Semmling, A. Maximilian; Rösel, Anja; Divine, Dmitry V.; Gerland, Sebastian; Stienne, Georges; Reboul, Serge; Ludwig, Marcel; Wickert, Jens; Schuh, Harald (2019). "Sea-ice concentration derived from GNSS reflection measurements in fram strait". IEEE Transactions on Geoscience and Remote Sensing. 57 (12): 10350–10361. doi:10.1109/TGRS.2019.2933911. ISSN 1558-0644.
  5. ↑ Yan, Qingyun; Huang, Weimin (2016). "Spaceborne GNSS-R sea ice detection using delay-doppler maps: First results from the U.K. TechDemoSat-1 mission". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 9 (10): 4795–4801. doi:10.1109/JSTARS.2016.2582690. ISSN 2151-1535.
  6. ↑ Yan, Qingyun; Huang, Weimin (2018). "Sea ice sensing from GNSS-R data using convolutional neural networks". IEEE Geoscience and Remote Sensing Letters. 15 (10): 1510–1514. doi:10.1109/LGRS.2018.2852143. ISSN 1558-0571.
  7. ↑ Southwell, Benjamin J.; Dempster, Andrew G. (2020). "Sea ice transition detection using incoherent integration and deconvolution". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 14–20. doi:10.1109/JSTARS.2019.2943510. ISSN 2151-1535.
  8. ↑ Strandberg, Joakim; Hobiger, Thomas; Haas, Rüdiger (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. ISSN 1558-0571.
  9. ↑ Zhu, Yongchao; Tao, Tingye; Yu, Kegen; Li, Zhenxuan; Qu, Xiaochuan; Ye, Zhourun; Geng, Jun; Zou, Jingui; Semmling, Maximilian; Wickert, Jens (2020). "Sensing sea ice based on doppler spread analysis of spaceborne GNSS-R data". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 217–226. doi:10.1109/JSTARS.2019.2955175. ISSN 2151-1535.
  10. ↑ Yan, Qingyun; Huang, Weimin (2020). "Sea ice thickness measurement using spaceborne GNSS-R: First results with TechDemoSat-1 data". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 577–587. doi:10.1109/JSTARS.2020.2966880. ISSN 2151-1535.
  11. ↑ Southwell, Benjamin J.; Cheong, Joon Wayn; Dempster, Andrew G. (2020). "A matched filter for spaceborne GNSS-R based sea-target detection". IEEE Transactions on Geoscience and Remote Sensing. 58 (8): 5922–5931. doi:10.1109/TGRS.2020.2973142. ISSN 1558-0644.
  12. ↑ Di Simone, Alessio; Park, Hyuk; Riccio, Daniele; Camps, Adriano (2017). "Sea target detection using spaceborne GNSS-R delay-doppler maps: Theory and experimental proof of concept using TDS-1 data". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10 (9): 4237–4255. doi:10.1109/JSTARS.2017.2705350. ISSN 2151-1535.
  13. ↑ Valencia, Enric; Camps, Adriano; Rodriguez-Alvarez, Nereida; Park, Hyuk; Ramos-Perez, Isaac (2013). "Using GNSS-R imaging of the ocean surface for oil slick detection". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 6 (1): 217–223. doi:10.1109/JSTARS.2012.2210392. ISSN 2151-1535.
  14. ↑ Cheong, Joon Wayn; Southwell, Benjamin J.; Dempster, Andrew G. (2019). "Blind sea clutter suppression for spaceborne GNSS-R target detection". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12 (12): 5373–5378. doi:10.1109/JSTARS.2019.2956183. ISSN 2151-1535.
  15. ↑ Li, Bowen; Yang, Lei; Zhang, Bo; Yang, Dongkai; Wu, Di (2020). "Modeling and simulation of GNSS-R observables with effects of swell". IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13: 1833–1841. doi:10.1109/JSTARS.2020.2992037. ISSN 2151-1535.
Retrieved from "https://wiki.icingcentre.eu/index.php?title=GNSS_Reflectometry&oldid=520"