Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco)
Climate change poses a major challenge in terms of urban planning management for the sake of a sustainable future. It is affecting the hydrological cycle around the world, leading to extreme weather conditions. Floods rank as the most frequent and widespread disaster in the world, they adversely aff...
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| Format: | Article |
| Language: | English |
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Polish Society of Ecological Engineering (PTIE)
2023-07-01
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| Series: | Ecological Engineering & Environmental Technology |
| Subjects: | |
| Online Access: | http://www.ecoeet.com/Towards-Time-Series-Sensor-Data-to-Accurately-Map-Flood-Hazard-and-Assess-Damages,166017,0,2.html |
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| author | Yousra El Yacoubi Miriam Wahbi Mustapha Maatouk Omar El Kharki Hakim Boulaassal Otmane Yazidi Alaoui |
| author_facet | Yousra El Yacoubi Miriam Wahbi Mustapha Maatouk Omar El Kharki Hakim Boulaassal Otmane Yazidi Alaoui |
| author_sort | Yousra El Yacoubi |
| collection | DOAJ |
| description | Climate change poses a major challenge in terms of urban planning management for the sake of a sustainable future. It is affecting the hydrological cycle around the world, leading to extreme weather conditions. Floods rank as the most frequent and widespread disaster in the world, they adversely affect inhabitants in terms of property damage and threat to human safety (and lives, in the worst cases). Uncontrolled urban sprawl also exacerbates floods by expanding impervious surfaces and affecting flow paths. Other factors that trigger flooding (apart from the rainfall intensity) are human involvement in the main waterways, thereby significantly impacting the hydraulic flow characteristics, structural engineering breakdowns, compounded by potential deforestation. For the purpose of monitoring the aftermath of floods experienced by the cities of Casablanca and Tetouan (Morocco) respectively in January and March 2021 and estimating their damages, optical and radar satellite images derived from the Google Earth Engine (GEE) cloud platform were used along with the Geographic Information System (GIS). In this study, a novel technique for extracting flooded areas from high-resolution Synthetic Aperture Radar (SAR) time series images has been developed. A comparison was carried out subsequently between the time-series approach and other traditional approaches including radiometric thresholding method, spectral indices namely Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) as well as Flood Water Index (FWI). Based on the above approach, the water levels were estimated and the damages were assessed and mapped, notably the number of people exposed to flood hazard and the amount of built-up areas and cropland affected. The results demonstrated that Casablanca city has witnessed a higher flood level than Tetouan city, putting a large number of people at risk and affecting a significant area of land use. The findings can also provide local authorities with a comprehensive view of flooding and enable them to make decisions on preparedness, mitigation, and adaptation to flood-related disasters. |
| first_indexed | 2024-03-13T06:17:56Z |
| format | Article |
| id | doaj.art-b4504dc394d049f2bd342daa8253af2d |
| institution | Directory Open Access Journal |
| issn | 2719-7050 |
| language | English |
| last_indexed | 2024-03-13T06:17:56Z |
| publishDate | 2023-07-01 |
| publisher | Polish Society of Ecological Engineering (PTIE) |
| record_format | Article |
| series | Ecological Engineering & Environmental Technology |
| spelling | doaj.art-b4504dc394d049f2bd342daa8253af2d2023-06-10T12:15:12ZengPolish Society of Ecological Engineering (PTIE)Ecological Engineering & Environmental Technology2719-70502023-07-0124523825310.12912/27197050/166017166017Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco)Yousra El Yacoubi0https://orcid.org/0009-0002-4157-3932Miriam Wahbi1https://orcid.org/0000-0002-1911-2593Mustapha Maatouk2https://orcid.org/0000-0003-3125-9149Omar El Kharki3https://orcid.org/0000-0002-5023-9613Hakim Boulaassal4https://orcid.org/0000-0003-2342-4431Otmane Yazidi Alaoui5https://orcid.org/0000-0002-7100-2391GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, MoroccoGéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, MoroccoGéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, MoroccoGéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, MoroccoGéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, MoroccoGéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, MoroccoClimate change poses a major challenge in terms of urban planning management for the sake of a sustainable future. It is affecting the hydrological cycle around the world, leading to extreme weather conditions. Floods rank as the most frequent and widespread disaster in the world, they adversely affect inhabitants in terms of property damage and threat to human safety (and lives, in the worst cases). Uncontrolled urban sprawl also exacerbates floods by expanding impervious surfaces and affecting flow paths. Other factors that trigger flooding (apart from the rainfall intensity) are human involvement in the main waterways, thereby significantly impacting the hydraulic flow characteristics, structural engineering breakdowns, compounded by potential deforestation. For the purpose of monitoring the aftermath of floods experienced by the cities of Casablanca and Tetouan (Morocco) respectively in January and March 2021 and estimating their damages, optical and radar satellite images derived from the Google Earth Engine (GEE) cloud platform were used along with the Geographic Information System (GIS). In this study, a novel technique for extracting flooded areas from high-resolution Synthetic Aperture Radar (SAR) time series images has been developed. A comparison was carried out subsequently between the time-series approach and other traditional approaches including radiometric thresholding method, spectral indices namely Normalized Difference Water Index (NDWI) and Modified Normalized Difference Water Index (MNDWI) as well as Flood Water Index (FWI). Based on the above approach, the water levels were estimated and the damages were assessed and mapped, notably the number of people exposed to flood hazard and the amount of built-up areas and cropland affected. The results demonstrated that Casablanca city has witnessed a higher flood level than Tetouan city, putting a large number of people at risk and affecting a significant area of land use. The findings can also provide local authorities with a comprehensive view of flooding and enable them to make decisions on preparedness, mitigation, and adaptation to flood-related disasters.http://www.ecoeet.com/Towards-Time-Series-Sensor-Data-to-Accurately-Map-Flood-Hazard-and-Assess-Damages,166017,0,2.htmlflood hazardgoogle earth enginegistime-series approachradiometric thresholdingndwimndwifwi |
| spellingShingle | Yousra El Yacoubi Miriam Wahbi Mustapha Maatouk Omar El Kharki Hakim Boulaassal Otmane Yazidi Alaoui Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco) Ecological Engineering & Environmental Technology flood hazard google earth engine gis time-series approach radiometric thresholding ndwi mndwi fwi |
| title | Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco) |
| title_full | Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco) |
| title_fullStr | Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco) |
| title_full_unstemmed | Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco) |
| title_short | Towards Time Series Sensor Data to Accurately Map Flood Hazard and Assess Damages under Climate Change Using Google Earth Engine Cloud Platform and GIS - Case of the Cities of Tetouan and Casablanca (Morocco) |
| title_sort | towards time series sensor data to accurately map flood hazard and assess damages under climate change using google earth engine cloud platform and gis case of the cities of tetouan and casablanca morocco |
| topic | flood hazard google earth engine gis time-series approach radiometric thresholding ndwi mndwi fwi |
| url | http://www.ecoeet.com/Towards-Time-Series-Sensor-Data-to-Accurately-Map-Flood-Hazard-and-Assess-Damages,166017,0,2.html |
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