Abstract
Determining the location of coseismic landslides damaged buildings is critical to the understanding of human losses from earthquake-induced landslides during major earthquakes in mountainous regions. Because of the vast area of the earthquake affected region and the sparse locations of rural settlements, previous knowledge on buildings and human losses resulting from coseismic landslides mainly rely on rough estimations from limited field work. Application of high resolution satellite remote sensing opens a new way to map pre-seismic rural mountainous housing over large areas, and thus can accurately determine the location of coseismic landslide damaged housing spatially. In this work, we used the 2008 Wenchuan Earthquake as an example and use SPOT5 images taken before the earthquake for a seimi-automated mapping of buildings in rural areas. Then, by spatial overlay analysis with an existing coseismic landslide inventory, we mapped the location of landslide damaged buildings in this area. This semi-automatic method can be further applied to the entire Wenchuan Earthquake affected region to determine the locations of all landslides damaged buildings and finally improve the performance of earthquake loss estimation models.
| Original language | English |
|---|---|
| Title of host publication | Environmental Science and Information Application Technology - Proceedings of the 2014 5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014 |
| Editors | David Chan |
| Publisher | CRC Press/Balkema |
| Pages | 219-224 |
| Number of pages | 6 |
| ISBN (Print) | 9781138028142 |
| Publication status | Published - 1 Jan 2015 |
| Event | 5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014 - Hong Kong, China Duration: 7 Nov 2014 → 8 Nov 2014 Conference number: 5 |
Conference
| Conference | 5th International Conference on Environmental Science and Information Application Technology, ESIAT 2014 |
|---|---|
| Abbreviated title | ESIAT 2014 |
| Country/Territory | China |
| City | Hong Kong |
| Period | 7/11/14 → 8/11/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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