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21 November 2019 GIS application for damaged buildings assessment and shelter distribution analysis after earthquake and tsunami in Palu 2018
Zealandia Sarah N. F., Sry Handini Puteri, Deha Agus Umarhadi, Ridho Dwi Dharmawan, Nur Mohammad Farda
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Proceedings Volume 11311, Sixth Geoinformation Science Symposium; 113110G (2019) https://doi.org/10.1117/12.2548660
Event: Sixth Geoinformation Science Symposium, 2019, Yogyakarta, Indonesia
Abstract
Data and disaster information is crucial to support disaster response, recovery, and relief process. Unfortunately, acquiring data during emergency situations is difficult. After a disaster occurred, information about the victim and the impact of the disaster must be collected immediately for aid distribution purposes. Collecting shelter location data with number of victims and their needs must be completed swiftly as a disaster response action. Furthermore, collecting information of damaged buildings is also essential to determine the amount of compensation for destroyed houses. Geographic Information System combined with remote sensing is practical and reliable to help all of these tasks. WorldView-3 high resolution imagery with 0.5 m spatial resolution provided by Digital Globe is used to interpret damaged building in Palu City study area. By comparing satellite imagery before and after disaster, damaged building information can be interpreted and extracted as a cartographic map. Cross validation with field data of damaged building demonstrated that accuracy of the interpretation is approximately 80.49 %. The result of the damaged building compared with shelter distribution data using service area accessibility analysis and then used to analyze optimum coverage of disaster mitigation shelters.
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Zealandia Sarah N. F., Sry Handini Puteri, Deha Agus Umarhadi, Ridho Dwi Dharmawan, and Nur Mohammad Farda "GIS application for damaged buildings assessment and shelter distribution analysis after earthquake and tsunami in Palu 2018", Proc. SPIE 11311, Sixth Geoinformation Science Symposium, 113110G (21 November 2019); https://doi.org/10.1117/12.2548660
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KEYWORDS
Buildings
Geographic information systems
Earthquakes
Roads
Visualization
Remote sensing
Analytical research
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