Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam
Monitoring sediment transport in a run-of-river hydropower dam was investigated to detect and quantify the siltation processes using Sentinel-2/MSI satellite images. We developed a method allowing us to assess the fate of sediment discharge in reservoirs and to map the locations of eroding and silti...
| Main Authors: | , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843224001407 |
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| author | Diego R. Alves e Santos Jean-Michel Martinez Diogo Olivetti André Zumak David Guimarães Keila Aniceto Ednaldo Severo Osmair Ferreira Tristan Harmel Mauricio Cordeiro Naziano Fillizola Bruna Sell Daniel Fernandes Camila Souto Henrique Roig |
| author_facet | Diego R. Alves e Santos Jean-Michel Martinez Diogo Olivetti André Zumak David Guimarães Keila Aniceto Ednaldo Severo Osmair Ferreira Tristan Harmel Mauricio Cordeiro Naziano Fillizola Bruna Sell Daniel Fernandes Camila Souto Henrique Roig |
| author_sort | Diego R. Alves e Santos |
| collection | DOAJ |
| description | Monitoring sediment transport in a run-of-river hydropower dam was investigated to detect and quantify the siltation processes using Sentinel-2/MSI satellite images. We developed a method allowing us to assess the fate of sediment discharge in reservoirs and to map the locations of eroding and silting stream cross sections. This monitoring was achieved by retrieving the seasonal and interannual variation in suspended sediment concentration (SPM) longitudinally and by developing indices to detect local deviations from the overall SPM trend. A comparison between Sentinel-2 reflectance, processed for atmospheric and glint correction, and field measurements showed fine accuracy for the b8a/b4 band ratio (RMSE = 0.23 sr-1, N = 50) as well as a very good SPM retrieval performance for a wide range of concentrations [10–926 mg/L] with an RMSLE of 0.23 mg/L. SPM trend analysis demonstrated that significant (p < 0.001) sedimentation processes (i.e., decreases in SPM concentration upstream to downstream) occur for most parts of the hydrological cycle except during peak flooding when there was no significant SPM siltation. The overall rate of SPM decrease is −0.52 mg/L/km, varying from +0.11 mg/L/km down to −1.10 mg/L/km. We developed a deviation index to detect local anomalies from the overall upstream–downstream satellite-derived SPM trend. A satellite-derived map of eroding and silting reaches is produced evidencing the control of the sediment transport pattern by geomorphological features, such as rapids. Using independent bathymetric surveys, we showed that satellite data allow the locations of eroding and silting river reaches to be correctly mapped. |
| first_indexed | 2024-04-24T13:51:27Z |
| format | Article |
| id | doaj.art-6182ccde204142009fb82c42684a5ba7 |
| institution | Directory Open Access Journal |
| issn | 1569-8432 |
| language | English |
| last_indexed | 2024-04-24T13:51:27Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj.art-6182ccde204142009fb82c42684a5ba72024-04-04T05:03:52ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322024-04-01128103786Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower damDiego R. Alves e Santos0Jean-Michel Martinez1Diogo Olivetti2André Zumak3David Guimarães4Keila Aniceto5Ednaldo Severo6Osmair Ferreira7Tristan Harmel8Mauricio Cordeiro9Naziano Fillizola10Bruna Sell11Daniel Fernandes12Camila Souto13Henrique Roig14University of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, BrazilUniversity of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, Brazil; Géosciences Environnement Toulouse (GET), UMR5563, Institut de Recherche pour le Développement (IRD) / Centre National de la Recherche Scientifique (CNRS) / Université Toulouse 3, 14 Avenue Edouard Belin, 31400 Toulouse, France; Corresponding author at: University of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, Brazil.University of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, BrazilFederal University of Amazonas, H2A group, Manaus, AM, BrazilUniversity of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, Brazil; Géosciences Environnement Toulouse (GET), UMR5563, Institut de Recherche pour le Développement (IRD) / Centre National de la Recherche Scientifique (CNRS) / Université Toulouse 3, 14 Avenue Edouard Belin, 31400 Toulouse, FranceFederal University of Amazonas, H2A group, Manaus, AM, BrazilFederal University of Amazonas, H2A group, Manaus, AM, BrazilUniversity of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, BrazilUniversity of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, BrazilGéosciences Environnement Toulouse (GET), UMR5563, Institut de Recherche pour le Développement (IRD) / Centre National de la Recherche Scientifique (CNRS) / Université Toulouse 3, 14 Avenue Edouard Belin, 31400 Toulouse, FranceFederal University of Amazonas, H2A group, Manaus, AM, BrazilJirau Energia – Road BR-364, KM 824, Porto, Velho, BrazilJirau Energia – Road BR-364, KM 824, Porto, Velho, BrazilJirau Energia – Road BR-364, KM 824, Porto, Velho, BrazilUniversity of Brasília, Institute of Geosciences, Graduate Program in Applied Geosciences and Geodynamics, Geoprocessing Laboratory (GeoLab), Brasilia, DF, BrazilMonitoring sediment transport in a run-of-river hydropower dam was investigated to detect and quantify the siltation processes using Sentinel-2/MSI satellite images. We developed a method allowing us to assess the fate of sediment discharge in reservoirs and to map the locations of eroding and silting stream cross sections. This monitoring was achieved by retrieving the seasonal and interannual variation in suspended sediment concentration (SPM) longitudinally and by developing indices to detect local deviations from the overall SPM trend. A comparison between Sentinel-2 reflectance, processed for atmospheric and glint correction, and field measurements showed fine accuracy for the b8a/b4 band ratio (RMSE = 0.23 sr-1, N = 50) as well as a very good SPM retrieval performance for a wide range of concentrations [10–926 mg/L] with an RMSLE of 0.23 mg/L. SPM trend analysis demonstrated that significant (p < 0.001) sedimentation processes (i.e., decreases in SPM concentration upstream to downstream) occur for most parts of the hydrological cycle except during peak flooding when there was no significant SPM siltation. The overall rate of SPM decrease is −0.52 mg/L/km, varying from +0.11 mg/L/km down to −1.10 mg/L/km. We developed a deviation index to detect local anomalies from the overall upstream–downstream satellite-derived SPM trend. A satellite-derived map of eroding and silting reaches is produced evidencing the control of the sediment transport pattern by geomorphological features, such as rapids. Using independent bathymetric surveys, we showed that satellite data allow the locations of eroding and silting river reaches to be correctly mapped.http://www.sciencedirect.com/science/article/pii/S1569843224001407Inland waterHydropowerMadeira RiverRun-of-the-riverWater colorSiltation |
| spellingShingle | Diego R. Alves e Santos Jean-Michel Martinez Diogo Olivetti André Zumak David Guimarães Keila Aniceto Ednaldo Severo Osmair Ferreira Tristan Harmel Mauricio Cordeiro Naziano Fillizola Bruna Sell Daniel Fernandes Camila Souto Henrique Roig Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam International Journal of Applied Earth Observations and Geoinformation Inland water Hydropower Madeira River Run-of-the-river Water color Siltation |
| title | Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam |
| title_full | Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam |
| title_fullStr | Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam |
| title_full_unstemmed | Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam |
| title_short | Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam |
| title_sort | sentinel 2 msi image time series reveal hydrological and geomorphological control of the sedimentation processes in an amazonian hydropower dam |
| topic | Inland water Hydropower Madeira River Run-of-the-river Water color Siltation |
| url | http://www.sciencedirect.com/science/article/pii/S1569843224001407 |
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