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| DOI | 10.3389/feart.2024.1309629 |
| GIS based flood extent assessment using MODIS satellite remote sensing and spatial analysis | |
| 发表日期 | 2024 |
| EISSN | 2296-6463 |
| 起始页码 | 12 |
| 卷号 | 12 |
| 英文摘要 | Out of all natural catastrophes, floods are one of the most destructive and common occurrences as it affects human lives, economy and environment. Pakistan is prone to flooding because it is greatly affected by climate change. Mianwali region, Pakistan was selected as study area because this region is vulnerable to floods and have been affected by major floods in Pakistan in 2010 and no proper study on vulnerability assessment and flood extent mapping has been done in this area. The current study was carried out to evaluate flood extent mapping of the Mianwali region by using MODIS and NDWI techniques and to develop a cumulative flood risk map for 10 years (2010-2020). For the Flood Extent Mapping MODIS Product MODIS Combined 16-Day NDWI was used. This product is generated from the MODIS/MCD43A4 surface reflectance composites and provides a single NDWI value for 16 daily composite images. (Earth Data Catalogue). The flood extent maps of years 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019 and 2020 were developed. These flood extent maps demonstrated Mianwali villages of high flood risk zones and shallow flood risk zones. Results revealed that the people living in villages named Dhup sari, Sheikhan Wala, Arsala Wala, Moza Zareef wala, Allah khel wala and Janay Khel wala are at a greater risk of experiencing natural disasters to their geographical location as they are located alongside river Indus. Due to the cloud coverage increase and being on the bank of river Indus Mianwali is hit by floods almost every year. Lastly a cumulative Flood Risk Map was produced by combining the all extents identified during the flooding events 2010-20. The cumulative Flood Risk zones are classified as High Risk Zones and Mixed Zones based on the NDWI values. Results clearly suggest that 7 out of 20 the communities in the study area are situated in the High Risk Flood Zone and whereas the remaining 13 communities lies in the Mixed Zone which could be an area with very high soil moisture due to shallow flooding. The apparent land cover of the study area is dominated by Agriculture upon which lively hood of the communities depend. It can be concluded that Mianwali is at high danger of flooding due to its location and lack of pre-disaster preparedness. The data obtained from this study is critical for emergency response and rehabilitation efforts. The findings can assist local disaster organizations, planners, researchers, line agencies and local government in managing flood hazards in the area. |
| 英文关键词 | flood risk management; MODIS; climate change; risk extent mapping; NWDI techniques |
| 语种 | 英语 |
| WOS研究方向 | Geology |
| WOS类目 | Geosciences, Multidisciplinary |
| WOS记录号 | WOS:001176812400001 |
| 来源期刊 | FRONTIERS IN EARTH SCIENCE
 |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/293087 |
| 作者单位 | Government College University Lahore |
| 推荐引用方式 GB/T 7714 | . GIS based flood extent assessment using MODIS satellite remote sensing and spatial analysis[J],2024,12. |
| APA | (2024).GIS based flood extent assessment using MODIS satellite remote sensing and spatial analysis.FRONTIERS IN EARTH SCIENCE,12. |
| MLA | "GIS based flood extent assessment using MODIS satellite remote sensing and spatial analysis".FRONTIERS IN EARTH SCIENCE 12(2024). |
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