An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data
River inlets, deltas, and estuaries represent delicate ecosystems highly susceptible to climate change impacts. While significant progress has been made in understanding the morphodynamics of these environments in recent decades, the development of models still requires thorough testing and data int...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/12/11/2055 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1846153289135030272 |
|---|---|
| author | Matteo Bozzano Francesco Varni Monica De Martino Alfonso Quarati Nicoletta Tambroni Bianca Federici |
| author_facet | Matteo Bozzano Francesco Varni Monica De Martino Alfonso Quarati Nicoletta Tambroni Bianca Federici |
| author_sort | Matteo Bozzano |
| collection | DOAJ |
| description | River inlets, deltas, and estuaries represent delicate ecosystems highly susceptible to climate change impacts. While significant progress has been made in understanding the morphodynamics of these environments in recent decades, the development of models still requires thorough testing and data integration. In this context, remote sensing emerges as a potent tool, providing crucial data and the ability to monitor temporal changes. In this paper, an integrated approach combining remote sensing and morphodynamic modeling is proposed to assess river systems comprehensively. By utilizing multispectral or RGB optical imagery from satellites or UAVs for river classification and remotely derived bathymetry, echo sounder data for ground truth, and photogrammetric modeling of emerged areas, we outline a procedure to create an integrated and continuous digital terrain model (DTM) of a riverbed, paying particular attention to the wet–dry interface. This method enables us to identify the river centerline, its width, and its slope variations. Additionally, by applying a linear morphodynamic model that considers the spatial variability of river morphology commonly found in estuarine environments, it is possible to predict the wavelength and migration rate of sediment bars. This approach has been successfully applied to recreate the DTM and monitor the morphodynamics of the seaward reach of the Roya River (Italy). |
| format | Article |
| id | doaj-art-74b3636610ea4e579c3cb6de5d4e5ee4 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-74b3636610ea4e579c3cb6de5d4e5ee42024-11-26T18:08:26ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-11-011211205510.3390/jmse12112055An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing DataMatteo Bozzano0Francesco Varni1Monica De Martino2Alfonso Quarati3Nicoletta Tambroni4Bianca Federici5Department of Civil, Chemical and Environmental Engineering, University of Genoa, 16145 Genoa, ItalyInstitute for Applied Mathematics and Information Technologies, National Research Council, 16149 Genoa, ItalyInstitute for Applied Mathematics and Information Technologies, National Research Council, 16149 Genoa, ItalyInstitute for Applied Mathematics and Information Technologies, National Research Council, 16149 Genoa, ItalyDepartment of Civil, Chemical and Environmental Engineering, University of Genoa, 16145 Genoa, ItalyDepartment of Civil, Chemical and Environmental Engineering, University of Genoa, 16145 Genoa, ItalyRiver inlets, deltas, and estuaries represent delicate ecosystems highly susceptible to climate change impacts. While significant progress has been made in understanding the morphodynamics of these environments in recent decades, the development of models still requires thorough testing and data integration. In this context, remote sensing emerges as a potent tool, providing crucial data and the ability to monitor temporal changes. In this paper, an integrated approach combining remote sensing and morphodynamic modeling is proposed to assess river systems comprehensively. By utilizing multispectral or RGB optical imagery from satellites or UAVs for river classification and remotely derived bathymetry, echo sounder data for ground truth, and photogrammetric modeling of emerged areas, we outline a procedure to create an integrated and continuous digital terrain model (DTM) of a riverbed, paying particular attention to the wet–dry interface. This method enables us to identify the river centerline, its width, and its slope variations. Additionally, by applying a linear morphodynamic model that considers the spatial variability of river morphology commonly found in estuarine environments, it is possible to predict the wavelength and migration rate of sediment bars. This approach has been successfully applied to recreate the DTM and monitor the morphodynamics of the seaward reach of the Roya River (Italy).https://www.mdpi.com/2077-1312/12/11/2055morphodynamic modelingriverbed digital terrain modelbathymetrymultispectral optical imagesphotogrammetry |
| spellingShingle | Matteo Bozzano Francesco Varni Monica De Martino Alfonso Quarati Nicoletta Tambroni Bianca Federici An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data Journal of Marine Science and Engineering morphodynamic modeling riverbed digital terrain model bathymetry multispectral optical images photogrammetry |
| title | An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data |
| title_full | An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data |
| title_fullStr | An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data |
| title_full_unstemmed | An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data |
| title_short | An Integrated Approach to Riverbed Morphodynamic Modeling Using Remote Sensing Data |
| title_sort | integrated approach to riverbed morphodynamic modeling using remote sensing data |
| topic | morphodynamic modeling riverbed digital terrain model bathymetry multispectral optical images photogrammetry |
| url | https://www.mdpi.com/2077-1312/12/11/2055 |
| work_keys_str_mv | AT matteobozzano anintegratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT francescovarni anintegratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT monicademartino anintegratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT alfonsoquarati anintegratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT nicolettatambroni anintegratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT biancafederici anintegratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT matteobozzano integratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT francescovarni integratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT monicademartino integratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT alfonsoquarati integratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT nicolettatambroni integratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata AT biancafederici integratedapproachtoriverbedmorphodynamicmodelingusingremotesensingdata |