Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood
The 2021–2022 flood is one of the most serious flood events in Malaysian history, with approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 billion. From this devastating event, we realized the lack of extreme precipitation and flood inundation information, which is...
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MDPI AG
2022-07-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/7/378 |
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| author | Yi Lin Tew Mou Leong Tan Liew Juneng Kwok Pan Chun Mohamad Hafiz bin Hassan Sazali bin Osman Narimah Samat Chun Kiat Chang Muhammad Humayun Kabir |
| author_facet | Yi Lin Tew Mou Leong Tan Liew Juneng Kwok Pan Chun Mohamad Hafiz bin Hassan Sazali bin Osman Narimah Samat Chun Kiat Chang Muhammad Humayun Kabir |
| author_sort | Yi Lin Tew |
| collection | DOAJ |
| description | The 2021–2022 flood is one of the most serious flood events in Malaysian history, with approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 billion. From this devastating event, we realized the lack of extreme precipitation and flood inundation information, which is a common problem in tropical regions. Therefore, we developed a Rapid Extreme TRopicAl preCipitation and flood inundation mapping framEwork (RETRACE) by utilizing: (1) a cloud computing platform, the Google Earth Engine (GEE); (2) open-source satellite images from missions such as Global Precipitation Measurement (GPM), Sentinel-1 SAR and Sentinel-2 optical satellites; and (3) flood victim information. The framework was demonstrated with the 2021–2022 Malaysia flood. The preliminary results were satisfactory with an optimal threshold of five for flood inundation mapping using the Sentinel-1 SAR data, as the accuracy of inundated floods was up to 70%. Extreme daily precipitation of up to 230 mm/day was observed and resulted in an inundated area of 77.43 km<sup>2</sup> in Peninsular Malaysia. This framework can act as a useful tool for local authorities and scientists to retrace the extreme precipitation and flood information in a relatively short period for flood management and mitigation strategy development. |
| first_indexed | 2024-03-09T13:44:48Z |
| format | Article |
| id | doaj.art-f9a221a2b86c47169beef4b0cd8f7eba |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T13:44:48Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-f9a221a2b86c47169beef4b0cd8f7eba2023-11-30T21:02:24ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-07-0111737810.3390/ijgi11070378Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia FloodYi Lin Tew0Mou Leong Tan1Liew Juneng2Kwok Pan Chun3Mohamad Hafiz bin Hassan4Sazali bin Osman5Narimah Samat6Chun Kiat Chang7Muhammad Humayun Kabir8GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Gelugor 11800, Pulau Pinang, MalaysiaGeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Gelugor 11800, Pulau Pinang, MalaysiaDepartment of Earth Sciences and Environment, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi 43600, Selangor, MalaysiaDepartment of Geography and Environmental Management, University of the West of England, Bristol BS16 1QY, UKNational Flood Forecasting and Warning Centre, Department of Irrigation and Drainage, Kuala Lumpur 68000, MalaysiaNational Flood Forecasting and Warning Centre, Department of Irrigation and Drainage, Kuala Lumpur 68000, MalaysiaGeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Gelugor 11800, Pulau Pinang, MalaysiaRiver Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Pulau Pinang, MalaysiaDepartment of Agricultural Extension and Information System, Sher-e-Bangla Agricultural University, Dhaka 1207, BangladeshThe 2021–2022 flood is one of the most serious flood events in Malaysian history, with approximately 70,000 victims evacuated daily, 54 killed and total losses up to MYR 6.1 billion. From this devastating event, we realized the lack of extreme precipitation and flood inundation information, which is a common problem in tropical regions. Therefore, we developed a Rapid Extreme TRopicAl preCipitation and flood inundation mapping framEwork (RETRACE) by utilizing: (1) a cloud computing platform, the Google Earth Engine (GEE); (2) open-source satellite images from missions such as Global Precipitation Measurement (GPM), Sentinel-1 SAR and Sentinel-2 optical satellites; and (3) flood victim information. The framework was demonstrated with the 2021–2022 Malaysia flood. The preliminary results were satisfactory with an optimal threshold of five for flood inundation mapping using the Sentinel-1 SAR data, as the accuracy of inundated floods was up to 70%. Extreme daily precipitation of up to 230 mm/day was observed and resulted in an inundated area of 77.43 km<sup>2</sup> in Peninsular Malaysia. This framework can act as a useful tool for local authorities and scientists to retrace the extreme precipitation and flood information in a relatively short period for flood management and mitigation strategy development.https://www.mdpi.com/2220-9964/11/7/378floodinundation mappingSentinel-1 SARMalaysiaclimate change |
| spellingShingle | Yi Lin Tew Mou Leong Tan Liew Juneng Kwok Pan Chun Mohamad Hafiz bin Hassan Sazali bin Osman Narimah Samat Chun Kiat Chang Muhammad Humayun Kabir Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood ISPRS International Journal of Geo-Information flood inundation mapping Sentinel-1 SAR Malaysia climate change |
| title | Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood |
| title_full | Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood |
| title_fullStr | Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood |
| title_full_unstemmed | Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood |
| title_short | Rapid Extreme Tropical Precipitation and Flood Inundation Mapping Framework (RETRACE): Initial Testing for the 2021–2022 Malaysia Flood |
| title_sort | rapid extreme tropical precipitation and flood inundation mapping framework retrace initial testing for the 2021 2022 malaysia flood |
| topic | flood inundation mapping Sentinel-1 SAR Malaysia climate change |
| url | https://www.mdpi.com/2220-9964/11/7/378 |
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