LiDAR-driven Topographic Surveys for Floodplain Management
LiDAR technology has become an essential tool for hydrological monitoring, offering high-resolution topographic data for river basin management. This study presents LiDAR-based topographic surveys conducted on the Metauro and Cesano river basins in Central Italy to improve flood risk assessment and...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2025-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1035/2025/isprs-archives-XLVIII-G-2025-1035-2025.pdf |
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| author | E. S. Malinverni F. Di Stefano S. Chiappini G. Darvini D. Fronzi R. Pierdicca A. Tazioli |
| author_facet | E. S. Malinverni F. Di Stefano S. Chiappini G. Darvini D. Fronzi R. Pierdicca A. Tazioli |
| author_sort | E. S. Malinverni |
| collection | DOAJ |
| description | LiDAR technology has become an essential tool for hydrological monitoring, offering high-resolution topographic data for river basin management. This study presents LiDAR-based topographic surveys conducted on the Metauro and Cesano river basins in Central Italy to improve flood risk assessment and regional planning. Airborne LiDAR and ground-based GNSS techniques have been integrated to generate accurate DTMs and DSMs, enabling precise floodplain mapping and man-made structures analysis. The data processing involved automated classification and manual corrections to differentiate between terrain, vegetation, and built structures. The results provided detailed cross-sectional altimetric profiles, revealing geomorphological changes such as sediment deposition and erosion. Additionally, Airborne LiDAR-derived datasets supported flood modeling, infrastructure assessment, and long-term environmental monitoring. The study highlights the effectiveness of LiDAR data collection in hydrological management, enhancing flood risk mitigation, urban planning, and ecological restoration. Future research should focus on expanding survey coverage, integrating real-time flood forecasting, and leveraging AI-driven techniques for automated data processing. This work contributes to improved geospatial knowledge, providing decision-makers with advanced tools for sustainable surface water resource management. |
| format | Article |
| id | doaj-art-5e29d1177457455f8a191da2a2e5c7fa |
| institution | DOAJ |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-5e29d1177457455f8a191da2a2e5c7fa2025-08-20T03:09:31ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342025-07-01XLVIII-G-20251035104210.5194/isprs-archives-XLVIII-G-2025-1035-2025LiDAR-driven Topographic Surveys for Floodplain ManagementE. S. Malinverni0F. Di Stefano1S. Chiappini2G. Darvini3D. Fronzi4R. Pierdicca5A. Tazioli6Università Politecnica delle Marche, Dipartimento di Ingegneria Civile Edile e Architettura (DICEA), ItalyUniversità Politecnica delle Marche, Dipartimento di Ingegneria Civile Edile e Architettura (DICEA), ItalyUniversità Politecnica delle Marche, Dipartimento di Ingegneria Civile Edile e Architettura (DICEA), ItalyUniversità Politecnica delle Marche, Dipartimento di Ingegneria Civile Edile e Architettura (DICEA), ItalyUniversità Politecnica delle Marche, Dipartimento di Scienze e Ingegneria della Materia, dell'Ambiente ed Urbanistica (SIMAU), ItalyUniversità Politecnica delle Marche, Dipartimento di Ingegneria Civile Edile e Architettura (DICEA), ItalyUniversità Politecnica delle Marche, Dipartimento di Scienze e Ingegneria della Materia, dell'Ambiente ed Urbanistica (SIMAU), ItalyLiDAR technology has become an essential tool for hydrological monitoring, offering high-resolution topographic data for river basin management. This study presents LiDAR-based topographic surveys conducted on the Metauro and Cesano river basins in Central Italy to improve flood risk assessment and regional planning. Airborne LiDAR and ground-based GNSS techniques have been integrated to generate accurate DTMs and DSMs, enabling precise floodplain mapping and man-made structures analysis. The data processing involved automated classification and manual corrections to differentiate between terrain, vegetation, and built structures. The results provided detailed cross-sectional altimetric profiles, revealing geomorphological changes such as sediment deposition and erosion. Additionally, Airborne LiDAR-derived datasets supported flood modeling, infrastructure assessment, and long-term environmental monitoring. The study highlights the effectiveness of LiDAR data collection in hydrological management, enhancing flood risk mitigation, urban planning, and ecological restoration. Future research should focus on expanding survey coverage, integrating real-time flood forecasting, and leveraging AI-driven techniques for automated data processing. This work contributes to improved geospatial knowledge, providing decision-makers with advanced tools for sustainable surface water resource management.https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1035/2025/isprs-archives-XLVIII-G-2025-1035-2025.pdf |
| spellingShingle | E. S. Malinverni F. Di Stefano S. Chiappini G. Darvini D. Fronzi R. Pierdicca A. Tazioli LiDAR-driven Topographic Surveys for Floodplain Management The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | LiDAR-driven Topographic Surveys for Floodplain Management |
| title_full | LiDAR-driven Topographic Surveys for Floodplain Management |
| title_fullStr | LiDAR-driven Topographic Surveys for Floodplain Management |
| title_full_unstemmed | LiDAR-driven Topographic Surveys for Floodplain Management |
| title_short | LiDAR-driven Topographic Surveys for Floodplain Management |
| title_sort | lidar driven topographic surveys for floodplain management |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/1035/2025/isprs-archives-XLVIII-G-2025-1035-2025.pdf |
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