A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine
This work aims to develop a constantly updated flood hazard assessment tool that utilizes readily available datasets derived by remote sensing techniques. It is based on the recently released global land use/land cover (LULC) dataset Dynamic World, which is readily available, covering the period fro...
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MDPI AG
2024-11-01
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| Series: | Land |
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| Online Access: | https://www.mdpi.com/2073-445X/13/11/1929 |
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| author | Alexandra Gemitzi Odysseas Kopsidas Foteini Stefani Aposotolos Polymeros Vasilis Bellos |
| author_facet | Alexandra Gemitzi Odysseas Kopsidas Foteini Stefani Aposotolos Polymeros Vasilis Bellos |
| author_sort | Alexandra Gemitzi |
| collection | DOAJ |
| description | This work aims to develop a constantly updated flood hazard assessment tool that utilizes readily available datasets derived by remote sensing techniques. It is based on the recently released global land use/land cover (LULC) dataset Dynamic World, which is readily available, covering the period from 2015 until now, as an open data source within the Google Earth Engine (GEE) platform. The tool is updated constantly following the release rate of Sentinel-2 images, i.e., every 2 to 5 days depending on the location, and provides a near-real-time detection of flooded areas. Specifically, it identifies how many times each 10 m pixel is characterized as flooded for a selected time period. To investigate the fruitfulness of the proposed tool, we provide two different applications; the first one in the Thrace region, where the flood hazard map computed with the presented herein approach was compared against the flood hazard maps developed in the frames of the EU Directive 2007/60, and we found several inconsistencies between the two approaches. The second application focuses on the Thessaly region, aiming to assess the impacts of a specific, unprecedented storm event that affected the study area in September 2023. Moreover, a new economic metric is proposed, named maximum potential economic loss, to assess the socioeconomic implications of the flooding. The innovative character of the presented methodology consists of the use of remotely sensed-based datasets, becoming available at increasing rates, for developing an operational instrument that defines and updates the flood hazard zones in real-time as required. |
| format | Article |
| id | doaj-art-2002ea1adcc24bd2982f54b5f7b153e3 |
| institution | OA Journals |
| issn | 2073-445X |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
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| series | Land |
| spelling | doaj-art-2002ea1adcc24bd2982f54b5f7b153e32025-08-20T01:54:02ZengMDPI AGLand2073-445X2024-11-011311192910.3390/land13111929A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth EngineAlexandra Gemitzi0Odysseas Kopsidas1Foteini Stefani2Aposotolos Polymeros3Vasilis Bellos4Department of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, GreeceDepartment of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, GreeceNational School of Public Administration and Local Government, 17778 Athens, GreeceMinistry of Rural Development and Food, 10176 Athens, GreeceDepartment of Environmental Engineering, Democritus University of Thrace, 67100 Xanthi, GreeceThis work aims to develop a constantly updated flood hazard assessment tool that utilizes readily available datasets derived by remote sensing techniques. It is based on the recently released global land use/land cover (LULC) dataset Dynamic World, which is readily available, covering the period from 2015 until now, as an open data source within the Google Earth Engine (GEE) platform. The tool is updated constantly following the release rate of Sentinel-2 images, i.e., every 2 to 5 days depending on the location, and provides a near-real-time detection of flooded areas. Specifically, it identifies how many times each 10 m pixel is characterized as flooded for a selected time period. To investigate the fruitfulness of the proposed tool, we provide two different applications; the first one in the Thrace region, where the flood hazard map computed with the presented herein approach was compared against the flood hazard maps developed in the frames of the EU Directive 2007/60, and we found several inconsistencies between the two approaches. The second application focuses on the Thessaly region, aiming to assess the impacts of a specific, unprecedented storm event that affected the study area in September 2023. Moreover, a new economic metric is proposed, named maximum potential economic loss, to assess the socioeconomic implications of the flooding. The innovative character of the presented methodology consists of the use of remotely sensed-based datasets, becoming available at increasing rates, for developing an operational instrument that defines and updates the flood hazard zones in real-time as required.https://www.mdpi.com/2073-445X/13/11/1929flood hazardremote sensingdynamic worldland coverGoogle Earth Engine |
| spellingShingle | Alexandra Gemitzi Odysseas Kopsidas Foteini Stefani Aposotolos Polymeros Vasilis Bellos A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine Land flood hazard remote sensing dynamic world land cover Google Earth Engine |
| title | A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine |
| title_full | A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine |
| title_fullStr | A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine |
| title_full_unstemmed | A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine |
| title_short | A Constantly Updated Flood Hazard Assessment Tool Using Satellite-Based High-Resolution Land Cover Dataset Within Google Earth Engine |
| title_sort | constantly updated flood hazard assessment tool using satellite based high resolution land cover dataset within google earth engine |
| topic | flood hazard remote sensing dynamic world land cover Google Earth Engine |
| url | https://www.mdpi.com/2073-445X/13/11/1929 |
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