Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan
The most recurring type of disaster in the world these days is flood because of the spread and extent of its effect on people, among all-natural disasters of the world. Human activities have paved the way for many of these flood behavior to change as they usedto be in the past. Pakistan experienc...
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| Format: | Article |
| Language: | English |
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Society of Economic Geologists and Mineral Technologists
2020-07-01
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| Series: | International Journal of Economic and Environment Geology |
| Subjects: | |
| Online Access: | https://www.econ-environ-geol.org/index.php/ojs/article/view/419/287 |
| _version_ | 1818112143328804864 |
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| author | Umer Saleem, Takeshi Mizunoya, Yabar Helmut, Ammara Ajmal |
| author_facet | Umer Saleem, Takeshi Mizunoya, Yabar Helmut, Ammara Ajmal |
| author_sort | Umer Saleem, Takeshi Mizunoya, Yabar Helmut, Ammara Ajmal |
| collection | DOAJ |
| description | The most recurring type of disaster in the world these days is flood because of the spread and extent of its effect on people, among all-natural disasters of the world. Human activities have paved the way for many of these flood behavior to change as they usedto be in the past. Pakistan experienced one of the most devastating natural disasters in its history all across the country in 2010, but Thatta district in southern part got severely affected during this flood. For the research, a simple yet efficient methodology Normalized Difference Vegetation Index (NDVI) by using remote sensing images for identifying floodhazard areas was utilized. Geographic Information Systems (GIS) helps in finding shelter areas with a minimum effect of floods. It is essential to realize the importance of mapped results in consideration of manual flood management in future. The method used in this study is robust enough to explain the flood hazard for suggesting suitable shelter sites in case of flooding events. This would help disaster management bodies and other related agencies to formulate the development plans while keeping the hazard areas, which are unsuitable for development due to flood risk in the future. |
| first_indexed | 2024-12-11T03:14:15Z |
| format | Article |
| id | doaj.art-7a5cd9173baf4b8d9fd20662e38545e1 |
| institution | Directory Open Access Journal |
| issn | 2223-957X 2223-957X |
| language | English |
| last_indexed | 2024-12-11T03:14:15Z |
| publishDate | 2020-07-01 |
| publisher | Society of Economic Geologists and Mineral Technologists |
| record_format | Article |
| series | International Journal of Economic and Environment Geology |
| spelling | doaj.art-7a5cd9173baf4b8d9fd20662e38545e12022-12-22T01:22:48ZengSociety of Economic Geologists and Mineral TechnologistsInternational Journal of Economic and Environment Geology2223-957X2223-957X2020-07-0111195101https://doi.org/10.46660/ijeeg.Vol11.Iss1.2020.419Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh PakistanUmer Saleem, Takeshi Mizunoya, Yabar Helmut, Ammara Ajmal0Graduate School of Life and Environmental Science, FacultySchool of Life and Environmental Science, Graduate School of HumanScience, University of Tsukuba, Ibaraki, JapanThe most recurring type of disaster in the world these days is flood because of the spread and extent of its effect on people, among all-natural disasters of the world. Human activities have paved the way for many of these flood behavior to change as they usedto be in the past. Pakistan experienced one of the most devastating natural disasters in its history all across the country in 2010, but Thatta district in southern part got severely affected during this flood. For the research, a simple yet efficient methodology Normalized Difference Vegetation Index (NDVI) by using remote sensing images for identifying floodhazard areas was utilized. Geographic Information Systems (GIS) helps in finding shelter areas with a minimum effect of floods. It is essential to realize the importance of mapped results in consideration of manual flood management in future. The method used in this study is robust enough to explain the flood hazard for suggesting suitable shelter sites in case of flooding events. This would help disaster management bodies and other related agencies to formulate the development plans while keeping the hazard areas, which are unsuitable for development due to flood risk in the future.https://www.econ-environ-geol.org/index.php/ojs/article/view/419/287floodsremote sensingndvi analysisdisaster management |
| spellingShingle | Umer Saleem, Takeshi Mizunoya, Yabar Helmut, Ammara Ajmal Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan International Journal of Economic and Environment Geology floods remote sensing ndvi analysis disaster management |
| title | Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan |
| title_full | Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan |
| title_fullStr | Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan |
| title_full_unstemmed | Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan |
| title_short | Using Remote Sensing for Identifying Suitable Areas for Flood Shelter: A Case Study of Thatta, Sindh Pakistan |
| title_sort | using remote sensing for identifying suitable areas for flood shelter a case study of thatta sindh pakistan |
| topic | floods remote sensing ndvi analysis disaster management |
| url | https://www.econ-environ-geol.org/index.php/ojs/article/view/419/287 |
| work_keys_str_mv | AT umersaleemtakeshimizunoyayabarhelmutammaraajmal usingremotesensingforidentifyingsuitableareasforfloodshelteracasestudyofthattasindhpakistan |