ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE
In Malaysia, issues related to disaster management are always given attention in society and by the responsible parties. However, in general, citizen do not think of the consequential impact of disaster due to less of knowledge regarding the early phase in disaster management. Therefore, citizen in...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2018-10-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W9/217/2018/isprs-archives-XLII-4-W9-217-2018.pdf |
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| author | N. S. Nasir M. F. Abdul Khanan S. H. Othman M. Z. Abdul Rahman K. A. Razak M. R. Mohd Salleh H. A. Umar A. N. Abdul Razak |
| author_facet | N. S. Nasir M. F. Abdul Khanan S. H. Othman M. Z. Abdul Rahman K. A. Razak M. R. Mohd Salleh H. A. Umar A. N. Abdul Razak |
| author_sort | N. S. Nasir |
| collection | DOAJ |
| description | In Malaysia, issues related to disaster management are always given attention in society and by the responsible parties. However, in general, citizen do not think of the consequential impact of disaster due to less of knowledge regarding the early phase in disaster management. Therefore, citizen in those areas will be more vulnerable to landslide as the citizen face difficulties in identifying specific areas with the tendency of landslides. This paper presents a geospatial metamodel approach for non-structural mitigation of landslide using data from airborne LiDAR and aerial photograph. Disaster management metamodel with geospatial element combines activity for managing disaster along with geospatial database that makes it handy for appreciating the metamodel. On the other hand, the digital terrain model (DTM) from LiDAR and aerial photograph is required to produce landslide inventory mapping. The case study area is located in Kundasang, Sabah, where landslides occur frequently. In order to get better visual in identifying landslides in the study area, three types of data are required to carry out image interpretation. The three types of data are hillshade, topographic openness and colour composite. The result of the landslide inventory map shows that there are five types of landslide, which is debris flow, debris fall, mud flow, deep-seated landslide and shallow landslide. Finally, the result of landslide inventory map will be integrated into the developed metamodel for presentation to the users. This landslide inventory map is used as a non-structural mitigation step in one of disaster management phases that is suitable to prepare and use in mitigating the landslide hazard impact. |
| first_indexed | 2024-12-12T12:16:29Z |
| format | Article |
| id | doaj.art-a1f719e4801347918e23e0410ca5959a |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-12T12:16:29Z |
| publishDate | 2018-10-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-a1f719e4801347918e23e0410ca5959a2022-12-22T00:24:45ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-10-01XLII-4-W921722810.5194/isprs-archives-XLII-4-W9-217-2018ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDEN. S. Nasir0M. F. Abdul Khanan1S. H. Othman2M. Z. Abdul Rahman3K. A. Razak4M. R. Mohd Salleh5H. A. Umar6A. N. Abdul Razak7Faculty of Built Environment and Survey, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaFaculty of Built Environment and Survey, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaDepartment of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaFaculty of Built Environment and Survey, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaRazak School of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, MalaysiaFaculty of Built Environment and Survey, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaDepartment of Environmental Sciences, Federal University Dutse, P.M.B. 7156, Dutse, NigeriaFaculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Johor Bahru, MalaysiaIn Malaysia, issues related to disaster management are always given attention in society and by the responsible parties. However, in general, citizen do not think of the consequential impact of disaster due to less of knowledge regarding the early phase in disaster management. Therefore, citizen in those areas will be more vulnerable to landslide as the citizen face difficulties in identifying specific areas with the tendency of landslides. This paper presents a geospatial metamodel approach for non-structural mitigation of landslide using data from airborne LiDAR and aerial photograph. Disaster management metamodel with geospatial element combines activity for managing disaster along with geospatial database that makes it handy for appreciating the metamodel. On the other hand, the digital terrain model (DTM) from LiDAR and aerial photograph is required to produce landslide inventory mapping. The case study area is located in Kundasang, Sabah, where landslides occur frequently. In order to get better visual in identifying landslides in the study area, three types of data are required to carry out image interpretation. The three types of data are hillshade, topographic openness and colour composite. The result of the landslide inventory map shows that there are five types of landslide, which is debris flow, debris fall, mud flow, deep-seated landslide and shallow landslide. Finally, the result of landslide inventory map will be integrated into the developed metamodel for presentation to the users. This landslide inventory map is used as a non-structural mitigation step in one of disaster management phases that is suitable to prepare and use in mitigating the landslide hazard impact.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W9/217/2018/isprs-archives-XLII-4-W9-217-2018.pdf |
| spellingShingle | N. S. Nasir M. F. Abdul Khanan S. H. Othman M. Z. Abdul Rahman K. A. Razak M. R. Mohd Salleh H. A. Umar A. N. Abdul Razak ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE |
| title_full | ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE |
| title_fullStr | ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE |
| title_full_unstemmed | ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE |
| title_short | ASSIMILATING GEOSPATIAL METAMODEL AND INVENTORY MAPPING FOR NON-STRUCTURAL MITIGATION OF LANDSLIDE |
| title_sort | assimilating geospatial metamodel and inventory mapping for non structural mitigation of landslide |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W9/217/2018/isprs-archives-XLII-4-W9-217-2018.pdf |
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