Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data
The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classifi...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Carmela Cavallo [verfasserIn] Michael Nones [verfasserIn] Maria Nicolina Papa [verfasserIn] Massimiliano Gargiulo [verfasserIn] Giuseppe Ruello [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Geocarto International - Taylor & Francis Group, 2023, 37(2022), 25, Seite 8579-8601 |
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| Übergeordnetes Werk: |
volume:37 ; year:2022 ; number:25 ; pages:8579-8601 |
| Links: |
Link aufrufen |
|---|
| DOI / URN: |
10.1080/10106049.2021.2002431 |
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| Katalog-ID: |
DOAJ09949180X |
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10.1080/10106049.2021.2002431 doi (DE-627)DOAJ09949180X (DE-599)DOAJe493f620f95d4b7fb80aa17960f5152c DE-627 ger DE-627 rakwb eng GB3-5030 Carmela Cavallo verfasserin aut Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. geographic information system po river multispectral images river channel dynamics river restoration Physical geography Michael Nones verfasserin aut Maria Nicolina Papa verfasserin aut Massimiliano Gargiulo verfasserin aut Giuseppe Ruello verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 8579-8601 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:8579-8601 https://doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/article/e493f620f95d4b7fb80aa17960f5152c kostenfrei http://dx.doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 8579-8601 |
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10.1080/10106049.2021.2002431 doi (DE-627)DOAJ09949180X (DE-599)DOAJe493f620f95d4b7fb80aa17960f5152c DE-627 ger DE-627 rakwb eng GB3-5030 Carmela Cavallo verfasserin aut Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. geographic information system po river multispectral images river channel dynamics river restoration Physical geography Michael Nones verfasserin aut Maria Nicolina Papa verfasserin aut Massimiliano Gargiulo verfasserin aut Giuseppe Ruello verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 8579-8601 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:8579-8601 https://doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/article/e493f620f95d4b7fb80aa17960f5152c kostenfrei http://dx.doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 8579-8601 |
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10.1080/10106049.2021.2002431 doi (DE-627)DOAJ09949180X (DE-599)DOAJe493f620f95d4b7fb80aa17960f5152c DE-627 ger DE-627 rakwb eng GB3-5030 Carmela Cavallo verfasserin aut Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. geographic information system po river multispectral images river channel dynamics river restoration Physical geography Michael Nones verfasserin aut Maria Nicolina Papa verfasserin aut Massimiliano Gargiulo verfasserin aut Giuseppe Ruello verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 8579-8601 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:8579-8601 https://doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/article/e493f620f95d4b7fb80aa17960f5152c kostenfrei http://dx.doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 8579-8601 |
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10.1080/10106049.2021.2002431 doi (DE-627)DOAJ09949180X (DE-599)DOAJe493f620f95d4b7fb80aa17960f5152c DE-627 ger DE-627 rakwb eng GB3-5030 Carmela Cavallo verfasserin aut Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. geographic information system po river multispectral images river channel dynamics river restoration Physical geography Michael Nones verfasserin aut Maria Nicolina Papa verfasserin aut Massimiliano Gargiulo verfasserin aut Giuseppe Ruello verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 8579-8601 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:8579-8601 https://doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/article/e493f620f95d4b7fb80aa17960f5152c kostenfrei http://dx.doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 8579-8601 |
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10.1080/10106049.2021.2002431 doi (DE-627)DOAJ09949180X (DE-599)DOAJe493f620f95d4b7fb80aa17960f5152c DE-627 ger DE-627 rakwb eng GB3-5030 Carmela Cavallo verfasserin aut Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. geographic information system po river multispectral images river channel dynamics river restoration Physical geography Michael Nones verfasserin aut Maria Nicolina Papa verfasserin aut Massimiliano Gargiulo verfasserin aut Giuseppe Ruello verfasserin aut In Geocarto International Taylor & Francis Group, 2023 37(2022), 25, Seite 8579-8601 (DE-627)364462809 (DE-600)2109550-4 17520762 nnns volume:37 year:2022 number:25 pages:8579-8601 https://doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/article/e493f620f95d4b7fb80aa17960f5152c kostenfrei http://dx.doi.org/10.1080/10106049.2021.2002431 kostenfrei https://doaj.org/toc/1010-6049 Journal toc kostenfrei https://doaj.org/toc/1752-0762 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_63 GBV_ILN_70 GBV_ILN_100 GBV_ILN_224 GBV_ILN_285 GBV_ILN_370 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2026 GBV_ILN_2034 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_2507 GBV_ILN_4046 GBV_ILN_4313 GBV_ILN_4393 GBV_ILN_4700 AR 37 2022 25 8579-8601 |
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Monitoring the morphological evolution of a reach of the Italian Po River using multispectral satellite imagery and stage data |
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The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. |
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The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. |
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The knowledge of the hydro-morphological evolution of lowland rivers is essential to develop integrated river management plans. Satellite data can provide continuous and efficient means to monitor fluvial geomorphological changes at various spatiotemporal scales. In this study, an automatic classification method was exploited to analyze the evolution of a 40 km reach of the Italian Po River from 1986 to 2020. Public domain multispectral satellite data acquired by Landsat 4-5-TM, Landsat-8-OLI and Sentinel-2-MSI were processed to extract the wet-channel and its variations over time. Very high-resolution GeoEye-01 and WorldView-02 images were employed for validating the classification method. The overall accuracy, obtained by multitemporal controls with very high-resolution images, was always greater than 0.90 for all the missions, showing that the classification accuracy remains consistent through time. Combining satellite data with hydrological measurements permitted to monitor the river at the reach scale and investigate the effects of river restoration works. |
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