Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery
Short-term changes in shallow bathymetry affect the coastal zone, and therefore their monitoring is an essential task in coastal planning projects. This study provides a novel approach for monitoring shallow bathymetry changes based on drone multispectral imagery. Particularly, we apply a shallow wa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/14/23/6035 |
| _version_ | 1797462227428573184 |
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| author | Evangelos Alevizos Dimitrios D. Alexakis |
| author_facet | Evangelos Alevizos Dimitrios D. Alexakis |
| author_sort | Evangelos Alevizos |
| collection | DOAJ |
| description | Short-term changes in shallow bathymetry affect the coastal zone, and therefore their monitoring is an essential task in coastal planning projects. This study provides a novel approach for monitoring shallow bathymetry changes based on drone multispectral imagery. Particularly, we apply a shallow water inversion algorithm on two composite multispectral datasets, being acquired five months apart in a small Mediterranean sandy embayment (Chania, Greece). Initially, we perform radiometric corrections using proprietary software, and following that we combine the bands from standard and multispectral cameras, resulting in a six-band composite image suitable for applying the shallow water inversion algorithm. Bathymetry inversion results showed good correlation and low errors (<0.3 m) with sonar measurements collected with an uncrewed surface vehicle (USV). Bathymetry maps and true-color orthomosaics assist in identifying morphobathymetric features representing crescentic bars with rip channel systems. The temporal bathymetry and true-color data reveal important erosional and depositional patterns, which were developed under the impact of winter storms. Furthermore, bathymetric profiles show that the crescentic bar appears to migrate across and along-shore over the 5-months period. Drone-based multispectral imagery proves to be an important and cost-effective tool for shallow seafloor mapping and monitoring when it is combined with shallow water analytical models. |
| first_indexed | 2024-03-09T17:33:30Z |
| format | Article |
| id | doaj.art-16566425643f494daf8643484eee6dcc |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T17:33:30Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-16566425643f494daf8643484eee6dcc2023-11-24T12:04:37ZengMDPI AGRemote Sensing2072-42922022-11-011423603510.3390/rs14236035Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral ImageryEvangelos Alevizos0Dimitrios D. Alexakis1Laboratory of Geophysics—Satellite Remote Sensing and Archaeoenvironment (GeoSat ReSeArch Lab), Institute for Mediterranean Studies (IMS), Foundation for Research and Technology, Hellas (FORTH), Nikiforou Foka 130 and Melissinou, P.O. Box 119, 74100 Rethymno, GreeceLaboratory of Geophysics—Satellite Remote Sensing and Archaeoenvironment (GeoSat ReSeArch Lab), Institute for Mediterranean Studies (IMS), Foundation for Research and Technology, Hellas (FORTH), Nikiforou Foka 130 and Melissinou, P.O. Box 119, 74100 Rethymno, GreeceShort-term changes in shallow bathymetry affect the coastal zone, and therefore their monitoring is an essential task in coastal planning projects. This study provides a novel approach for monitoring shallow bathymetry changes based on drone multispectral imagery. Particularly, we apply a shallow water inversion algorithm on two composite multispectral datasets, being acquired five months apart in a small Mediterranean sandy embayment (Chania, Greece). Initially, we perform radiometric corrections using proprietary software, and following that we combine the bands from standard and multispectral cameras, resulting in a six-band composite image suitable for applying the shallow water inversion algorithm. Bathymetry inversion results showed good correlation and low errors (<0.3 m) with sonar measurements collected with an uncrewed surface vehicle (USV). Bathymetry maps and true-color orthomosaics assist in identifying morphobathymetric features representing crescentic bars with rip channel systems. The temporal bathymetry and true-color data reveal important erosional and depositional patterns, which were developed under the impact of winter storms. Furthermore, bathymetric profiles show that the crescentic bar appears to migrate across and along-shore over the 5-months period. Drone-based multispectral imagery proves to be an important and cost-effective tool for shallow seafloor mapping and monitoring when it is combined with shallow water analytical models.https://www.mdpi.com/2072-4292/14/23/6035dronesmultispectralbathymetrygeomorphologybedformsshallow water |
| spellingShingle | Evangelos Alevizos Dimitrios D. Alexakis Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery Remote Sensing drones multispectral bathymetry geomorphology bedforms shallow water |
| title | Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery |
| title_full | Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery |
| title_fullStr | Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery |
| title_full_unstemmed | Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery |
| title_short | Monitoring Short-Term Morphobathymetric Change of Nearshore Seafloor Using Drone-Based Multispectral Imagery |
| title_sort | monitoring short term morphobathymetric change of nearshore seafloor using drone based multispectral imagery |
| topic | drones multispectral bathymetry geomorphology bedforms shallow water |
| url | https://www.mdpi.com/2072-4292/14/23/6035 |
| work_keys_str_mv | AT evangelosalevizos monitoringshorttermmorphobathymetricchangeofnearshoreseafloorusingdronebasedmultispectralimagery AT dimitriosdalexakis monitoringshorttermmorphobathymetricchangeofnearshoreseafloorusingdronebasedmultispectralimagery |