Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes
Digital elevation models (DEM) derived from TanDEM-X single-pass interferometric SAR data are widely used for a large vary of applications. One of the main application fields regards the monitoring of topographic changes, which can be properly estimated by differentiating two DEM scenes acquired at...
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IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10812015/ |
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| author | Carolina Gonzalez Luca Dell'Amore Jose-Luis Bueso-Bello Pietro Milillo Gabriele Schwaizer Thomas Nagler Paola Rizzoli |
| author_facet | Carolina Gonzalez Luca Dell'Amore Jose-Luis Bueso-Bello Pietro Milillo Gabriele Schwaizer Thomas Nagler Paola Rizzoli |
| author_sort | Carolina Gonzalez |
| collection | DOAJ |
| description | Digital elevation models (DEM) derived from TanDEM-X single-pass interferometric SAR data are widely used for a large vary of applications. One of the main application fields regards the monitoring of topographic changes, which can be properly estimated by differentiating two DEM scenes acquired at different times. In this scenario, a critical aspect is represented by the precise mutual calibration of the two DEMs, which are normally affected by residual offsets and tilts caused by uncertainties in the baseline determination. This calibration is in general performed by utilizing reference tie-points, whose location and height is known <italic>a priori</italic>, or estimated through other reference sensors, such as GPS or LiDAR data. The manual procedure is time-consuming and can be jeopardized by the absence of available external reference points. In this article, we present a novel technique for performing an automatic selection of reliable natural tie-points from Sentinel-1 repeat-pass time-series, by exploiting persistent scatterers candidates, and we discuss their applicability to TanDEM-X data. We propose a novel method for retrieving a set of reliable natural calibration targets and for performing an effective mutual calibration of TanDEM-X time-tagged DEMs. The approach is validated by considering the estimation of lava field volumes in the test-case scenario of the volcanic eruptions in the Reykjanes Peninsula, Iceland, occurred between 2021 and 2023. Thanks to the continuous global coverage of Sentinel-1, this approach can be applied when no <italic>a priori</italic> knowledge on reference tie-points is available, allowing for the precise estimation of height and volume changes. |
| format | Article |
| id | doaj-art-af3eecdc1d4d483e938830690d96c592 |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-af3eecdc1d4d483e938830690d96c5922025-02-05T00:00:09ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-01183385339710.1109/JSTARS.2024.352112310812015Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume ChangesCarolina Gonzalez0https://orcid.org/0000-0002-9340-1887Luca Dell'Amore1https://orcid.org/0000-0002-6731-1300Jose-Luis Bueso-Bello2https://orcid.org/0000-0003-3464-2186Pietro Milillo3https://orcid.org/0000-0002-1171-3976Gabriele Schwaizer4https://orcid.org/0000-0003-2611-6696Thomas Nagler5https://orcid.org/0000-0003-1298-8469Paola Rizzoli6https://orcid.org/0000-0001-9118-2732Microwaves and Radar Institute, German Aerospace Center (DLR), Wessling, GermanyMicrowaves and Radar Institute, German Aerospace Center (DLR), Wessling, GermanyMicrowaves and Radar Institute, German Aerospace Center (DLR), Wessling, GermanyMicrowaves and Radar Institute, German Aerospace Center (DLR), Koeln, GermanyENVEO-Environmental Earth Observation IT GmbH, Innsbruck, AustriaENVEO-Environmental Earth Observation IT GmbH, Innsbruck, AustriaMicrowaves and Radar Institute, German Aerospace Center (DLR), Wessling, GermanyDigital elevation models (DEM) derived from TanDEM-X single-pass interferometric SAR data are widely used for a large vary of applications. One of the main application fields regards the monitoring of topographic changes, which can be properly estimated by differentiating two DEM scenes acquired at different times. In this scenario, a critical aspect is represented by the precise mutual calibration of the two DEMs, which are normally affected by residual offsets and tilts caused by uncertainties in the baseline determination. This calibration is in general performed by utilizing reference tie-points, whose location and height is known <italic>a priori</italic>, or estimated through other reference sensors, such as GPS or LiDAR data. The manual procedure is time-consuming and can be jeopardized by the absence of available external reference points. In this article, we present a novel technique for performing an automatic selection of reliable natural tie-points from Sentinel-1 repeat-pass time-series, by exploiting persistent scatterers candidates, and we discuss their applicability to TanDEM-X data. We propose a novel method for retrieving a set of reliable natural calibration targets and for performing an effective mutual calibration of TanDEM-X time-tagged DEMs. The approach is validated by considering the estimation of lava field volumes in the test-case scenario of the volcanic eruptions in the Reykjanes Peninsula, Iceland, occurred between 2021 and 2023. Thanks to the continuous global coverage of Sentinel-1, this approach can be applied when no <italic>a priori</italic> knowledge on reference tie-points is available, allowing for the precise estimation of height and volume changes.https://ieeexplore.ieee.org/document/10812015/Digital elevation model (DEM) calibrationIcelandlava volumepersistent scatterers (PS)Sentinel-1synthetic aperture radar interferometry (SAR) |
| spellingShingle | Carolina Gonzalez Luca Dell'Amore Jose-Luis Bueso-Bello Pietro Milillo Gabriele Schwaizer Thomas Nagler Paola Rizzoli Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Digital elevation model (DEM) calibration Iceland lava volume persistent scatterers (PS) Sentinel-1 synthetic aperture radar interferometry (SAR) |
| title | Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes |
| title_full | Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes |
| title_fullStr | Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes |
| title_full_unstemmed | Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes |
| title_short | Sentinel-1-Aided Mutual Calibration of TanDEM-X DEMs for the Estimation of Height and Volume Changes |
| title_sort | sentinel 1 aided mutual calibration of tandem x dems for the estimation of height and volume changes |
| topic | Digital elevation model (DEM) calibration Iceland lava volume persistent scatterers (PS) Sentinel-1 synthetic aperture radar interferometry (SAR) |
| url | https://ieeexplore.ieee.org/document/10812015/ |
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