Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods
Remote sensing images are an essential tool for mapping the amount of flood inundation after flood events. For early flood estimation, flood mapping is a crucial component. This study used an integration of geospatial techniques to evaluate the flood extent in District Dera Ghazi Khan, Pakistan. The...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Environmental Sciences Proceedings |
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| Online Access: | https://www.mdpi.com/2673-4931/25/1/78 |
| _version_ | 1797594840681152512 |
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| author | Asif Sajjad Jianzhong Lu Rana Waqar Aslam Muhammad Ahmad |
| author_facet | Asif Sajjad Jianzhong Lu Rana Waqar Aslam Muhammad Ahmad |
| author_sort | Asif Sajjad |
| collection | DOAJ |
| description | Remote sensing images are an essential tool for mapping the amount of flood inundation after flood events. For early flood estimation, flood mapping is a crucial component. This study used an integration of geospatial techniques to evaluate the flood extent in District Dera Ghazi Khan, Pakistan. The modified normalized difference water index (MNDWI) was utilized to estimate the flood extent using Landsat data. For a thorough flood investigation, pre-flood, during, and post-flood images were obtained. The analysis enabled us to delineate flood extent as well as flood duration. The result showed that the flood continued for nearly 5 weeks in the study area. This proposed geospatial technique provides a framework for the identification of inundated areas, which allows emergency responses to be focused on newly flooded areas. Hence, the current study offers a novel perspective on flood mapping and significantly contributes to flood monitoring. |
| first_indexed | 2024-03-11T02:29:23Z |
| format | Article |
| id | doaj.art-11369bf6e82c46d0aebe43e2fb02ae64 |
| institution | Directory Open Access Journal |
| issn | 2673-4931 |
| language | English |
| last_indexed | 2024-03-11T02:29:23Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Environmental Sciences Proceedings |
| spelling | doaj.art-11369bf6e82c46d0aebe43e2fb02ae642023-11-18T10:20:01ZengMDPI AGEnvironmental Sciences Proceedings2673-49312023-04-012517810.3390/ECWS-7-14312Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan FloodsAsif Sajjad0Jianzhong Lu1Rana Waqar Aslam2Muhammad Ahmad3Department of Environmental Sciences, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, PakistanState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaState Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, ChinaDepartment of Environmental Sciences, Faculty of Biological Sciences, Quaid-i-Azam University, Islamabad 45320, PakistanRemote sensing images are an essential tool for mapping the amount of flood inundation after flood events. For early flood estimation, flood mapping is a crucial component. This study used an integration of geospatial techniques to evaluate the flood extent in District Dera Ghazi Khan, Pakistan. The modified normalized difference water index (MNDWI) was utilized to estimate the flood extent using Landsat data. For a thorough flood investigation, pre-flood, during, and post-flood images were obtained. The analysis enabled us to delineate flood extent as well as flood duration. The result showed that the flood continued for nearly 5 weeks in the study area. This proposed geospatial technique provides a framework for the identification of inundated areas, which allows emergency responses to be focused on newly flooded areas. Hence, the current study offers a novel perspective on flood mapping and significantly contributes to flood monitoring.https://www.mdpi.com/2673-4931/25/1/78flood mappinggeospatial techniquesLandsat dataMNDWIemergency response |
| spellingShingle | Asif Sajjad Jianzhong Lu Rana Waqar Aslam Muhammad Ahmad Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods Environmental Sciences Proceedings flood mapping geospatial techniques Landsat data MNDWI emergency response |
| title | Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods |
| title_full | Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods |
| title_fullStr | Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods |
| title_full_unstemmed | Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods |
| title_short | Flood Disaster Mapping Using Geospatial Techniques: A Case Study of the 2022 Pakistan Floods |
| title_sort | flood disaster mapping using geospatial techniques a case study of the 2022 pakistan floods |
| topic | flood mapping geospatial techniques Landsat data MNDWI emergency response |
| url | https://www.mdpi.com/2673-4931/25/1/78 |
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