Correcting atmospheric effects on the InSAR measurements using GPS data
The effect of the atmospheric error in the spaceborne synthetic aperture radar (SAR) signal is more prominent in Malaysia due to its hot and wet conditions. Because the atmospheric error is believed to happen constantly in space and randomly in time, low-pass filtering in space and high-pass filteri...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2022
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| Online Access: | http://eprints.utm.my/103721/1/AmiHassanDin2022_CorrectingAtmosphericEffects.pdf |
| _version_ | 1796867515885813760 |
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| author | Ab. Latip, Amir Sharifuddin Ansar, Andi Mohd. Hairy Md. Din, Ami Hassan Balogun, Abdul Lateef |
| author_facet | Ab. Latip, Amir Sharifuddin Ansar, Andi Mohd. Hairy Md. Din, Ami Hassan Balogun, Abdul Lateef |
| author_sort | Ab. Latip, Amir Sharifuddin |
| collection | ePrints |
| description | The effect of the atmospheric error in the spaceborne synthetic aperture radar (SAR) signal is more prominent in Malaysia due to its hot and wet conditions. Because the atmospheric error is believed to happen constantly in space and randomly in time, low-pass filtering in space and high-pass filtering in time is employed to measure it. However, with few scenes, the filtering technique's reliability in removing atmospheric error may be insufficient, leading to erroneous surface deformation. Therefore, an external atmospheric correction needs to be modelled to improve the accuracy of surface deformation. In this study, the atmospheric error correction was estimated from GPS and applied to the deformation analysis. The result shows that the atmospheric error level estimated from the filtering technique was -6.9 to 7.5 radians, while using GPS was -1.0 to 1.9 radians. After using the filtering process, the rate of deformation fell dramatically. However, compared to the reference deformation, the rate was too low, indicating that the filtering technique overstated the level of atmospheric error. At many data collections, the atmospheric correction calculated from GPS gave deformation values closer to the reference deformation. Hence, this study will help the researchers to model the atmospheric correction over the Malaysia region in future. |
| first_indexed | 2024-03-05T21:28:26Z |
| format | Conference or Workshop Item |
| id | utm.eprints-103721 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:28:26Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | utm.eprints-1037212023-11-23T08:43:38Z http://eprints.utm.my/103721/ Correcting atmospheric effects on the InSAR measurements using GPS data Ab. Latip, Amir Sharifuddin Ansar, Andi Mohd. Hairy Md. Din, Ami Hassan Balogun, Abdul Lateef G109.5 Global Positioning System The effect of the atmospheric error in the spaceborne synthetic aperture radar (SAR) signal is more prominent in Malaysia due to its hot and wet conditions. Because the atmospheric error is believed to happen constantly in space and randomly in time, low-pass filtering in space and high-pass filtering in time is employed to measure it. However, with few scenes, the filtering technique's reliability in removing atmospheric error may be insufficient, leading to erroneous surface deformation. Therefore, an external atmospheric correction needs to be modelled to improve the accuracy of surface deformation. In this study, the atmospheric error correction was estimated from GPS and applied to the deformation analysis. The result shows that the atmospheric error level estimated from the filtering technique was -6.9 to 7.5 radians, while using GPS was -1.0 to 1.9 radians. After using the filtering process, the rate of deformation fell dramatically. However, compared to the reference deformation, the rate was too low, indicating that the filtering technique overstated the level of atmospheric error. At many data collections, the atmospheric correction calculated from GPS gave deformation values closer to the reference deformation. Hence, this study will help the researchers to model the atmospheric correction over the Malaysia region in future. 2022 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/103721/1/AmiHassanDin2022_CorrectingAtmosphericEffects.pdf Ab. Latip, Amir Sharifuddin and Ansar, Andi Mohd. Hairy and Md. Din, Ami Hassan and Balogun, Abdul Lateef (2022) Correcting atmospheric effects on the InSAR measurements using GPS data. In: 5th International Conference on Research Methodology for Built Environment and Engineering (ICRMBEE) 2021, 10 November 2021, Shah Alam, Malaysia. http://dx.doi.org/10.1088/1755-1315/1067/1/012043 |
| spellingShingle | G109.5 Global Positioning System Ab. Latip, Amir Sharifuddin Ansar, Andi Mohd. Hairy Md. Din, Ami Hassan Balogun, Abdul Lateef Correcting atmospheric effects on the InSAR measurements using GPS data |
| title | Correcting atmospheric effects on the InSAR measurements using GPS data |
| title_full | Correcting atmospheric effects on the InSAR measurements using GPS data |
| title_fullStr | Correcting atmospheric effects on the InSAR measurements using GPS data |
| title_full_unstemmed | Correcting atmospheric effects on the InSAR measurements using GPS data |
| title_short | Correcting atmospheric effects on the InSAR measurements using GPS data |
| title_sort | correcting atmospheric effects on the insar measurements using gps data |
| topic | G109.5 Global Positioning System |
| url | http://eprints.utm.my/103721/1/AmiHassanDin2022_CorrectingAtmosphericEffects.pdf |
| work_keys_str_mv | AT ablatipamirsharifuddin correctingatmosphericeffectsontheinsarmeasurementsusinggpsdata AT ansarandimohdhairy correctingatmosphericeffectsontheinsarmeasurementsusinggpsdata AT mddinamihassan correctingatmosphericeffectsontheinsarmeasurementsusinggpsdata AT balogunabdullateef correctingatmosphericeffectsontheinsarmeasurementsusinggpsdata |