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)

• Autorzy: El Yacoubi, Yousra , Wahbi, Miriam , Maatouk, Mustapha , El Kharki, Omar , Boulaassal, Hakim , Alaoui, Otmane Yazidi
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

flood hazard; GEE; GIS; time-series approach; radiometric thresholding; NDWI; MNDWI; FWI

• Czasopismo: Ecological Engineering & Environmental Technology
• Rocznik: 2023
• Tom: Vol. 24, iss. 5
• Strony: 238--253
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

El Yacoubi, Yousra

• GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, Morocco,

autor

Wahbi, Miriam

• GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, Morocco

autor

Maatouk, Mustapha

• GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, Morocco

autor

El Kharki, Omar

• GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, Morocco

autor

Boulaassal, Hakim

• GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, Morocco

autor

Alaoui, Otmane Yazidi

• GéoTéCa Team, Department of Geology, Faculty of Sciences and Technologies of Tangier, Abdelmalek Essaâdi University, P.O. Box: 416, Tangier, Morocco

Bibliografia

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• 2. Asmadin, A., Siregar, V., Sofian, I., Jaya, I., Wijanarto, A. 2018. Feature extraction of coastal surface inundation via water index algorithms using multispectral satellite on North Jakarta. IOP Conference Series: Earth and Environmental Science, 176, 012032.
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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).

Identyfikatory

DOI

10.12912/27197050/166017