Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments
InSAR coherence-change detection (CCD) is a promising remote sensing technique that is able to map areas affected by torrential sediment transport triggered by flash floods in arid environments. CCD maps the changes in the interferometric coherence between synthetic aperture radar images (InSAR cohe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/20/4964 |
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| author | Joan Botey i Bassols Carmen Bedia María Cuevas-González Sonia Valdivielso Michele Crosetto Enric Vázquez-Suñé |
| author_facet | Joan Botey i Bassols Carmen Bedia María Cuevas-González Sonia Valdivielso Michele Crosetto Enric Vázquez-Suñé |
| author_sort | Joan Botey i Bassols |
| collection | DOAJ |
| description | InSAR coherence-change detection (CCD) is a promising remote sensing technique that is able to map areas affected by torrential sediment transport triggered by flash floods in arid environments. CCD maps the changes in the interferometric coherence between synthetic aperture radar images (InSAR coherence), a parameter that measures the stability of the radar signal between two different SAR images, i.e., data acquisitions. In arid environments, such changes are mainly due to changes in the surface. However, the residual effect of other factors on the InSAR coherence cannot be completely excluded. Therefore, CCD-based maps contain the uncertainty of whether the detected changes are actual changes in the observed surface or just errors related to those residual effects. Thus, in this paper, the results of four CCD mapping methods, with different degrees of complexity and sensitivity to the different factors affecting the InSAR coherence, are compared in order to evaluate the existence of the errors and their importance. The obtained CCD maps are also compared with changes in satellite optical images and a field campaign. The results lead to the conclusion that CCD maps are reliable in the identification of the zones affected by sediment transport, although the precision in the delimitation of the affected area remains an open issue. However, highly rugged relief areas still require a thorough analysis of the results in order to discard the geometric effects related to the perpendicular baseline. |
| first_indexed | 2024-03-10T20:55:56Z |
| format | Article |
| id | doaj.art-ae043380487a4a61a4902bd4c9ee0611 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T20:55:56Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-ae043380487a4a61a4902bd4c9ee06112023-11-19T17:58:53ZengMDPI AGRemote Sensing2072-42922023-10-011520496410.3390/rs15204964Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid EnvironmentsJoan Botey i Bassols0Carmen Bedia1María Cuevas-González2Sonia Valdivielso3Michele Crosetto4Enric Vázquez-Suñé5Institute of Environmental Assessment and Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, SpainInstitute of Environmental Assessment and Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, SpainCentre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss 7, 08860 Castelldefels, SpainInstitute of Environmental Assessment and Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, SpainCentre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA), Geomatics Research Unit, Av. Gauss 7, 08860 Castelldefels, SpainInstitute of Environmental Assessment and Water Research (IDAEA), CSIC, C. Jordi Girona 18-26, 08034 Barcelona, SpainInSAR coherence-change detection (CCD) is a promising remote sensing technique that is able to map areas affected by torrential sediment transport triggered by flash floods in arid environments. CCD maps the changes in the interferometric coherence between synthetic aperture radar images (InSAR coherence), a parameter that measures the stability of the radar signal between two different SAR images, i.e., data acquisitions. In arid environments, such changes are mainly due to changes in the surface. However, the residual effect of other factors on the InSAR coherence cannot be completely excluded. Therefore, CCD-based maps contain the uncertainty of whether the detected changes are actual changes in the observed surface or just errors related to those residual effects. Thus, in this paper, the results of four CCD mapping methods, with different degrees of complexity and sensitivity to the different factors affecting the InSAR coherence, are compared in order to evaluate the existence of the errors and their importance. The obtained CCD maps are also compared with changes in satellite optical images and a field campaign. The results lead to the conclusion that CCD maps are reliable in the identification of the zones affected by sediment transport, although the precision in the delimitation of the affected area remains an open issue. However, highly rugged relief areas still require a thorough analysis of the results in order to discard the geometric effects related to the perpendicular baseline.https://www.mdpi.com/2072-4292/15/20/4964InSAR coherencecoherence-change detectionsediment transportflash floodsarid environmentsgeometric decorrelation |
| spellingShingle | Joan Botey i Bassols Carmen Bedia María Cuevas-González Sonia Valdivielso Michele Crosetto Enric Vázquez-Suñé Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments Remote Sensing InSAR coherence coherence-change detection sediment transport flash floods arid environments geometric decorrelation |
| title | Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments |
| title_full | Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments |
| title_fullStr | Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments |
| title_full_unstemmed | Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments |
| title_short | Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments |
| title_sort | evaluating the uncertainty in coherence change detection based maps of torrential sediment transport in arid environments |
| topic | InSAR coherence coherence-change detection sediment transport flash floods arid environments geometric decorrelation |
| url | https://www.mdpi.com/2072-4292/15/20/4964 |
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