Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake
This study demonstrates the use of multi-temporal LiDAR data to extract collapsed buildings and to monitor their removal process in Minami-Aso village, Kumamoto prefecture, Japan, after the April 2016 Kumamoto earthquake. By taking the difference in digital surface models (DSMs) acquired at pre- and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/23/5970 |
| _version_ | 1797462228104904704 |
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| author | Fumio Yamazaki Wen Liu Kei Horie |
| author_facet | Fumio Yamazaki Wen Liu Kei Horie |
| author_sort | Fumio Yamazaki |
| collection | DOAJ |
| description | This study demonstrates the use of multi-temporal LiDAR data to extract collapsed buildings and to monitor their removal process in Minami-Aso village, Kumamoto prefecture, Japan, after the April 2016 Kumamoto earthquake. By taking the difference in digital surface models (DSMs) acquired at pre- and post-event times, collapsed buildings were extracted and the results were compared with damage survey data by the municipal government and aerial optical images. Approximately 40% of severely damaged buildings showed a reduction in the average height within a reduced building footprint between the pre- and post-event DSMs. Comparing the removal process of buildings in the post-event periods with the damage classification result from the municipal government, the damage level was found to affect judgements by the owners regarding demolition and removal. |
| first_indexed | 2024-03-09T17:33:30Z |
| format | Article |
| id | doaj.art-180e30dd37d24759a6240021a7e37c19 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T17:33:30Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-180e30dd37d24759a6240021a7e37c192023-11-24T12:03:40ZengMDPI AGRemote Sensing2072-42922022-11-011423597010.3390/rs14235970Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto EarthquakeFumio Yamazaki0Wen Liu1Kei Horie2National Research Institute for Earth Science and Disaster Resilience, Tsukuba 305-0006, JapanGraduate School of Engineering, Chiba University, Chiba 263-8522, JapanMS&AD InterRisk Research & Consulting, Inc., Tokyo 101-0063, JapanThis study demonstrates the use of multi-temporal LiDAR data to extract collapsed buildings and to monitor their removal process in Minami-Aso village, Kumamoto prefecture, Japan, after the April 2016 Kumamoto earthquake. By taking the difference in digital surface models (DSMs) acquired at pre- and post-event times, collapsed buildings were extracted and the results were compared with damage survey data by the municipal government and aerial optical images. Approximately 40% of severely damaged buildings showed a reduction in the average height within a reduced building footprint between the pre- and post-event DSMs. Comparing the removal process of buildings in the post-event periods with the damage classification result from the municipal government, the damage level was found to affect judgements by the owners regarding demolition and removal.https://www.mdpi.com/2072-4292/14/23/5970the 2016 Kumamoto earthquakecollapsed buildingDSM differencebuilding footprintbuilding removaldamage classification |
| spellingShingle | Fumio Yamazaki Wen Liu Kei Horie Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake Remote Sensing the 2016 Kumamoto earthquake collapsed building DSM difference building footprint building removal damage classification |
| title | Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake |
| title_full | Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake |
| title_fullStr | Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake |
| title_full_unstemmed | Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake |
| title_short | Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake |
| title_sort | use of multi temporal lidar data to extract collapsed buildings and to monitor their removal process after the 2016 kumamoto earthquake |
| topic | the 2016 Kumamoto earthquake collapsed building DSM difference building footprint building removal damage classification |
| url | https://www.mdpi.com/2072-4292/14/23/5970 |
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