Integrated detection and analysis of earthquake disaster information using airborne data
The primary goal of this paper is to discuss an integrated approach to efficiently obtaining earthquake damage information. We developed a framework to rapidly obtain earthquake damage information using post-earthquake airborne optical images. The framework is a standard process that includes data s...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2016-05-01
|
| Series: | Geomatics, Natural Hazards & Risk |
| Online Access: | http://dx.doi.org/10.1080/19475705.2015.1020887 |
| _version_ | 1818695940425383936 |
|---|---|
| author | Chunxiang Cao Di Liu Ramesh P. Singh Sheng Zheng Rong Tian Haijing Tian |
| author_facet | Chunxiang Cao Di Liu Ramesh P. Singh Sheng Zheng Rong Tian Haijing Tian |
| author_sort | Chunxiang Cao |
| collection | DOAJ |
| description | The primary goal of this paper is to discuss an integrated approach to efficiently obtaining earthquake damage information. We developed a framework to rapidly obtain earthquake damage information using post-earthquake airborne optical images. The framework is a standard process that includes data selection, preprocessing, damage factor identification, damage factor evaluation and the development of an earthquake damage information map. We can obtain damage information on severely affected regions using this framework, which will aid in planning rescue and rehabilitation efforts following disasters. We used the integrated approach to obtain damage information using the Lushan earthquake (magnitude 7.0, 20 April 2013) as a case study. The result were as follows: (1) 644 collapsed buildings and 4599 damaged buildings accounted for 13.90% and 96.24%, respectively, of the total number of buildings in the study area; (2) 334 landslides (total area of 691,674.5 m2) were detected and were found at greater probabilities at elevations of 1400–1500 m and higher slope; (3) no secondary disasters, such as barrier lakes, were detected; (4) 15 damaged sections (total of 306 m) were detected in the lifelines, and road sections that are at a high risk of damage (total of 2.4 km) were identified; and (5) key structures, including Yuxi River Dam and three bridges, were intact. Integrating the earthquake damage factor information generated a comprehensive Lushan earthquake damage information map. The integrated approach was proven to be effective using the Lushan earthquake as a case study and can be applied to assess earthquake damage to facilitate efficient rescue efforts. |
| first_indexed | 2024-12-17T13:53:27Z |
| format | Article |
| id | doaj.art-cb478ab4db344165aa4ed0d8fcd056b2 |
| institution | Directory Open Access Journal |
| issn | 1947-5705 1947-5713 |
| language | English |
| last_indexed | 2024-12-17T13:53:27Z |
| publishDate | 2016-05-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geomatics, Natural Hazards & Risk |
| spelling | doaj.art-cb478ab4db344165aa4ed0d8fcd056b22022-12-21T21:46:00ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132016-05-01731099112810.1080/19475705.2015.10208871020887Integrated detection and analysis of earthquake disaster information using airborne dataChunxiang Cao0Di Liu1Ramesh P. Singh2Sheng Zheng3Rong Tian4Haijing Tian5State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal UniversityState Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal UniversityChapman UniversityState Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal UniversityState Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal UniversityState Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences and Beijing Normal UniversityThe primary goal of this paper is to discuss an integrated approach to efficiently obtaining earthquake damage information. We developed a framework to rapidly obtain earthquake damage information using post-earthquake airborne optical images. The framework is a standard process that includes data selection, preprocessing, damage factor identification, damage factor evaluation and the development of an earthquake damage information map. We can obtain damage information on severely affected regions using this framework, which will aid in planning rescue and rehabilitation efforts following disasters. We used the integrated approach to obtain damage information using the Lushan earthquake (magnitude 7.0, 20 April 2013) as a case study. The result were as follows: (1) 644 collapsed buildings and 4599 damaged buildings accounted for 13.90% and 96.24%, respectively, of the total number of buildings in the study area; (2) 334 landslides (total area of 691,674.5 m2) were detected and were found at greater probabilities at elevations of 1400–1500 m and higher slope; (3) no secondary disasters, such as barrier lakes, were detected; (4) 15 damaged sections (total of 306 m) were detected in the lifelines, and road sections that are at a high risk of damage (total of 2.4 km) were identified; and (5) key structures, including Yuxi River Dam and three bridges, were intact. Integrating the earthquake damage factor information generated a comprehensive Lushan earthquake damage information map. The integrated approach was proven to be effective using the Lushan earthquake as a case study and can be applied to assess earthquake damage to facilitate efficient rescue efforts.http://dx.doi.org/10.1080/19475705.2015.1020887 |
| spellingShingle | Chunxiang Cao Di Liu Ramesh P. Singh Sheng Zheng Rong Tian Haijing Tian Integrated detection and analysis of earthquake disaster information using airborne data Geomatics, Natural Hazards & Risk |
| title | Integrated detection and analysis of earthquake disaster information using airborne data |
| title_full | Integrated detection and analysis of earthquake disaster information using airborne data |
| title_fullStr | Integrated detection and analysis of earthquake disaster information using airborne data |
| title_full_unstemmed | Integrated detection and analysis of earthquake disaster information using airborne data |
| title_short | Integrated detection and analysis of earthquake disaster information using airborne data |
| title_sort | integrated detection and analysis of earthquake disaster information using airborne data |
| url | http://dx.doi.org/10.1080/19475705.2015.1020887 |
| work_keys_str_mv | AT chunxiangcao integrateddetectionandanalysisofearthquakedisasterinformationusingairbornedata AT diliu integrateddetectionandanalysisofearthquakedisasterinformationusingairbornedata AT rameshpsingh integrateddetectionandanalysisofearthquakedisasterinformationusingairbornedata AT shengzheng integrateddetectionandanalysisofearthquakedisasterinformationusingairbornedata AT rongtian integrateddetectionandanalysisofearthquakedisasterinformationusingairbornedata AT haijingtian integrateddetectionandanalysisofearthquakedisasterinformationusingairbornedata |