Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data
Geoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim of this paper is to present the methodology followed and the results obtained by the utilization of Unmanned Aircraft Systems (UASs) 4K-video footage processing and the automation of geo-informat...
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doaj-eb286049ffca49c9b70410dc89cb887b2020-11-25T03:05:18ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-07-01944744710.3390/ijgi9070447Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS DataNikolaos Soulakellis0Christos Vasilakos1Stamatis Chatzistamatis2Dimitris Kavroudakis3Georgios Tataris4Ermioni-Eirini Papadopoulou5Apostolos Papakonstantinou6Olga Roussou7Themistoklis Kontos8Department of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, GreeceDepartment of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Geography, University of the Aegean, 81100 Mytilene, GreeceDepartment of Environmental Studies, University of the Aegean, 81100 Mytilene, GreeceGeoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim of this paper is to present the methodology followed and the results obtained by the utilization of Unmanned Aircraft Systems (UASs) 4K-video footage processing and the automation of geo-information methods targeted at both monitoring the demolition process and mapping the demolished buildings. The field campaigns took place on the traditional settlement of Vrisa (Lesvos, Greece), which was heavily damaged by a strong earthquake (Mw=6.3) on June 12th, 2017. For this purpose, a flight campaign took place on 3rd February 2019 for collecting aerial 4K video footage using an Unmanned Aircraft. The Structure from Motion (SfM) method was applied on frames which derived from the 4K video footage, for producing accurate and very detailed 3D point clouds, as well as the Digital Surface Model (DSM) of the building stock of the Vrisa traditional settlement, twenty months after the earthquake. This dataset has been compared with the corresponding one which derived from 25th July 2017, a few days after the earthquake. Two algorithms have been developed for detecting the demolished buildings of the affected area, based on the DSMs and 3D point clouds, correspondingly. The results obtained have been tested through field studies and demonstrate that this methodology is feasible and effective in building demolition detection, giving very accurate results (97%) and, in parallel, is easily applicable and suit well for rapid demolition mapping during the recovery phase of a post-earthquake scenario. The significant advantage of the proposed methodology is its ability to provide reliable results in a very low cost and time-efficient way and to serve all stakeholders and national and local organizations that are responsible for post-earthquake management.https://www.mdpi.com/2220-9964/9/7/4473D change mappingbuilding demolitionpost-earthquake management4K videoUAS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nikolaos Soulakellis Christos Vasilakos Stamatis Chatzistamatis Dimitris Kavroudakis Georgios Tataris Ermioni-Eirini Papadopoulou Apostolos Papakonstantinou Olga Roussou Themistoklis Kontos |
spellingShingle |
Nikolaos Soulakellis Christos Vasilakos Stamatis Chatzistamatis Dimitris Kavroudakis Georgios Tataris Ermioni-Eirini Papadopoulou Apostolos Papakonstantinou Olga Roussou Themistoklis Kontos Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data ISPRS International Journal of Geo-Information 3D change mapping building demolition post-earthquake management 4K video UAS |
author_facet |
Nikolaos Soulakellis Christos Vasilakos Stamatis Chatzistamatis Dimitris Kavroudakis Georgios Tataris Ermioni-Eirini Papadopoulou Apostolos Papakonstantinou Olga Roussou Themistoklis Kontos |
author_sort |
Nikolaos Soulakellis |
title |
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data |
title_short |
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data |
title_full |
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data |
title_fullStr |
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data |
title_full_unstemmed |
Post-Earthquake Recovery Phase Monitoring and Mapping Based on UAS Data |
title_sort |
post-earthquake recovery phase monitoring and mapping based on uas data |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2020-07-01 |
description |
Geoinformatics plays an essential role during the recovery phase of a post-earthquake situation. The aim of this paper is to present the methodology followed and the results obtained by the utilization of Unmanned Aircraft Systems (UASs) 4K-video footage processing and the automation of geo-information methods targeted at both monitoring the demolition process and mapping the demolished buildings. The field campaigns took place on the traditional settlement of Vrisa (Lesvos, Greece), which was heavily damaged by a strong earthquake (Mw=6.3) on June 12th, 2017. For this purpose, a flight campaign took place on 3rd February 2019 for collecting aerial 4K video footage using an Unmanned Aircraft. The Structure from Motion (SfM) method was applied on frames which derived from the 4K video footage, for producing accurate and very detailed 3D point clouds, as well as the Digital Surface Model (DSM) of the building stock of the Vrisa traditional settlement, twenty months after the earthquake. This dataset has been compared with the corresponding one which derived from 25th July 2017, a few days after the earthquake. Two algorithms have been developed for detecting the demolished buildings of the affected area, based on the DSMs and 3D point clouds, correspondingly. The results obtained have been tested through field studies and demonstrate that this methodology is feasible and effective in building demolition detection, giving very accurate results (97%) and, in parallel, is easily applicable and suit well for rapid demolition mapping during the recovery phase of a post-earthquake scenario. The significant advantage of the proposed methodology is its ability to provide reliable results in a very low cost and time-efficient way and to serve all stakeholders and national and local organizations that are responsible for post-earthquake management. |
topic |
3D change mapping building demolition post-earthquake management 4K video UAS |
url |
https://www.mdpi.com/2220-9964/9/7/447 |
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