On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI
This article presents a study of the relationship among decorrelation phase in synthetic aperture radar (SAR) interferogram, soil moisture, and water content in vegetation with the aim of mitigating the contribution of decorrelation phase in SAR interferometry estimates of terrain displacements. A m...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10412345/ |
| _version_ | 1797316034825289728 |
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| author | Nuno Cirne Mira Joao Catalao Giovanni Nico |
| author_facet | Nuno Cirne Mira Joao Catalao Giovanni Nico |
| author_sort | Nuno Cirne Mira |
| collection | DOAJ |
| description | This article presents a study of the relationship among decorrelation phase in synthetic aperture radar (SAR) interferogram, soil moisture, and water content in vegetation with the aim of mitigating the contribution of decorrelation phase in SAR interferometry estimates of terrain displacements. A methodology for the mitigation of the phase bias based on the temporal variation of the vegetation water content is presented. Decorrelation phases are computed using time series of Sentinel-1 images and compared with in situ measurements of soil moisture. It is shown that soil moisture can partially explain the observed values of decorrelation phases pointing out the role of vegetation water content. A new model is proposed to compute the contribution of vegetation to the decorrelation phase based on the normalized difference water index (NDWI) index. The methodology is applied to all short temporal baseline interferograms obtained from the time series of Sentinel-1 SAR images, using the NDWI maps generated from Sentinel-2 multispectral images. The cumulative displacement is computed by integrating the short temporal baseline interferograms, corrected for the land cover and soil moisture changes. It is shown that the proposed methodology can reduce the variance of estimated cumulative displacement in areas covered by vegetation. |
| first_indexed | 2024-03-08T03:13:27Z |
| format | Article |
| id | doaj.art-1718df5efbba4b6998ea203a7dc2e95e |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-03-08T03:13:27Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-1718df5efbba4b6998ea203a7dc2e95e2024-02-13T00:00:34ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352024-01-01173850385910.1109/JSTARS.2024.335769910412345On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWINuno Cirne Mira0https://orcid.org/0000-0001-5353-5402Joao Catalao1https://orcid.org/0000-0003-1028-4644Giovanni Nico2https://orcid.org/0000-0001-7621-5014Military Academy Research Center (CINAMIL), Academia Militar, Amadora, PortugalInstituto Dom Luiz (IDL), Faculdade de Ciências, Universidade de Lisbon, Lisbon, PortugalIstituto per le Applicazioni del Calcolo (IAC), Consiglio Nazionale delle Ricerche (CNR), Bari, ItalyThis article presents a study of the relationship among decorrelation phase in synthetic aperture radar (SAR) interferogram, soil moisture, and water content in vegetation with the aim of mitigating the contribution of decorrelation phase in SAR interferometry estimates of terrain displacements. A methodology for the mitigation of the phase bias based on the temporal variation of the vegetation water content is presented. Decorrelation phases are computed using time series of Sentinel-1 images and compared with in situ measurements of soil moisture. It is shown that soil moisture can partially explain the observed values of decorrelation phases pointing out the role of vegetation water content. A new model is proposed to compute the contribution of vegetation to the decorrelation phase based on the normalized difference water index (NDWI) index. The methodology is applied to all short temporal baseline interferograms obtained from the time series of Sentinel-1 SAR images, using the NDWI maps generated from Sentinel-2 multispectral images. The cumulative displacement is computed by integrating the short temporal baseline interferograms, corrected for the land cover and soil moisture changes. It is shown that the proposed methodology can reduce the variance of estimated cumulative displacement in areas covered by vegetation.https://ieeexplore.ieee.org/document/10412345/Decorrelation phasesSentinel-1soil moisturesynthetic aperture radar (SAR) interferometry (InSAR) |
| spellingShingle | Nuno Cirne Mira Joao Catalao Giovanni Nico On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Decorrelation phases Sentinel-1 soil moisture synthetic aperture radar (SAR) interferometry (InSAR) |
| title | On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI |
| title_full | On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI |
| title_fullStr | On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI |
| title_full_unstemmed | On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI |
| title_short | On the Mitigation of Phase Bias in SAR Interferometry Applications: A New Model Based on NDWI |
| title_sort | on the mitigation of phase bias in sar interferometry applications a new model based on ndwi |
| topic | Decorrelation phases Sentinel-1 soil moisture synthetic aperture radar (SAR) interferometry (InSAR) |
| url | https://ieeexplore.ieee.org/document/10412345/ |
| work_keys_str_mv | AT nunocirnemira onthemitigationofphasebiasinsarinterferometryapplicationsanewmodelbasedonndwi AT joaocatalao onthemitigationofphasebiasinsarinterferometryapplicationsanewmodelbasedonndwi AT giovanninico onthemitigationofphasebiasinsarinterferometryapplicationsanewmodelbasedonndwi |