IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v71y2014i1p151-174.html
   My bibliography  Save this article

An object-based image analysis for building seismic vulnerability assessment using high-resolution remote sensing imagery

Author

Listed:
  • Hao Wu
  • Zhiping Cheng
  • Wenzhong Shi
  • Zelang Miao
  • Chenchen Xu

Abstract

Building seismic vulnerability assessment plays an important role in formulating pre-disaster mitigation strategies for developing countries. The occurrence of high-resolution satellite sensors has greatly motivated it by providing a promising approach to obtain building information. However, this also brings a big challenge to the accurate building extraction and its coherent integration with the assessment model. The main objective of this paper is to investigate how to extract building attributes from high-resolution remote sensing imagery using the object-based image analysis (OBIA) method, so as to accurately and conveniently assess building seismic vulnerability by the combination of in situ field data. A general framework for the assessment of building seismic vulnerability is presented, including (1) the extraction of building information using OBIA, (2) building height estimation, and (3) the support vector machine (SVM)-based building seismic vulnerability assessment. Particularly, an integrated solution is proposed that merges the strengths of multiple spatial contextual relationships and some typical image object measures, under the unified framework to improve building information extraction at different scale levels as well as for different interest objects. With the aid of 35 building samples from two powerful earthquakes in China, the cloud-free WorldView-2 images and some building structure parameters from field survey were used to quantity the grades of building seismic vulnerability in Wuhan Optics Valley, China. The results show that all 48 buildings among the study area have been well detected with an overall accuracy of 80.67 % and the mean error of heights estimated from building shadow is less than 2 m. This indicates that the integrated analysis strategy based on OBIA is suitable for extracting the building information from high-resolution remote sensing imagery. Additionally, the assessment results using SVM show that the building seismic vulnerability is statistically significantly related to structure types and building heights. Both the proposed OBIA method and its integration strategy with SVM are easily implemented and provide readily interpretable assessment results for building seismic vulnerability. This reveals that the proposed method has a great potential to assist urban planners for making local disaster mitigation planning through the prioritization of intervention measures, such as the reinforcement of walls and the dismantlement of endangered houses. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Hao Wu & Zhiping Cheng & Wenzhong Shi & Zelang Miao & Chenchen Xu, 2014. "An object-based image analysis for building seismic vulnerability assessment using high-resolution remote sensing imagery," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(1), pages 151-174, March.
  • Handle: RePEc:spr:nathaz:v:71:y:2014:i:1:p:151-174
    DOI: 10.1007/s11069-013-0905-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-013-0905-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11069-013-0905-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Christian Geiß & Hannes Taubenböck, 2013. "Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 7-48, August.
    2. D. Ehrlich & T. Kemper & X. Blaes & P. Soille, 2013. "Extracting building stock information from optical satellite imagery for mapping earthquake exposure and its vulnerability," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 79-95, August.
    3. M. Mück & H. Taubenböck & J. Post & S. Wegscheider & G. Strunz & S. Sumaryono & F. Ismail, 2013. "Assessing building vulnerability to earthquake and tsunami hazard using remotely sensed data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 97-114, August.
    4. Marina Mueller & Karl Segl & Uta Heiden & Hermann Kaufmann, 2006. "Potential of High-Resolution Satellite Data in the Context of Vulnerability of Buildings," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 38(1), pages 247-258, May.
    5. Stefano Parolai, 2013. "Remote sensing’s contribution to earthquake risk assessment and mitigation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 225-226, August.
    6. Kasım Korkmaz & Ayhan Irfanoglu & Ali Kayhan, 2010. "Seismic risk assessment of buildings in Izmir, Turkey," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(1), pages 97-119, July.
    7. Russell Blong, 2003. "A Review of Damage Intensity Scales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 29(1), pages 57-76, May.
    8. Bruno Merz & Jana Friedrich & Markus Disse & Jochen Schwarz & Johann Goldammer & Jochen Wächter, 2006. "Possibilities and Limitations of Interdisciplinary, User-oriented Research: Experiences from the German Research Network Natural Disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 38(1), pages 3-20, May.
    9. H. Duzgun & M. Yucemen & H. Kalaycioglu & K. Celik & S. Kemec & K. Ertugay & A. Deniz, 2011. "An integrated earthquake vulnerability assessment framework for urban areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 59(2), pages 917-947, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Yinhu & Cheraghi, Amirhossein & Ou, Ge & Marković, Nikola, 2024. "Post-earthquake building damage assessment: A multi-period inspection routing approach for Gaussian process regression," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenhua Qi & Guiwu Su & Lei Sun & Fan Yang & Yang Wu, 2017. "“Internet+” approach to mapping exposure and seismic vulnerability of buildings in a context of rapid socioeconomic growth: a case study in Tangshan, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 107-139, March.
    2. Blake Walker & Cameron Taylor-Noonan & Alan Tabbernor & T’Brenn McKinnon & Harsimran Bal & Dan Bradley & Nadine Schuurman & John Clague, 2014. "A multi-criteria evaluation model of earthquake vulnerability in Victoria, British Columbia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(2), pages 1209-1222, November.
    3. Christian Geiß & Hannes Taubenböck, 2017. "One step back for a leap forward: toward operational measurements of elements at risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 1-6, March.
    4. Hernán Santa María & Matías A. Hube & Felipe Rivera & Catalina Yepes-Estrada & Jairo A. Valcárcel, 2017. "Development of national and local exposure models of residential structures in Chile," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 55-79, March.
    5. Christian Geiß & Anne Schauß & Torsten Riedlinger & Stefan Dech & Cecilia Zelaya & Nicolás Guzmán & Mathías A. Hube & Jamal Jokar Arsanjani & Hannes Taubenböck, 2017. "Joint use of remote sensing data and volunteered geographic information for exposure estimation: evidence from Valparaíso, Chile," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 81-105, March.
    6. Omar Hamdy & Hanan Gaber & Mohamed S. Abdalzaher & Mahmoud Elhadidy, 2022. "Identifying Exposure of Urban Area to Certain Seismic Hazard Using Machine Learning and GIS: A Case Study of Greater Cairo," Sustainability, MDPI, vol. 14(17), pages 1-24, August.
    7. Zhen Xu & Xinzheng Lu & Hong Guan & Bo Han & Aizhu Ren, 2014. "Seismic damage simulation in urban areas based on a high-fidelity structural model and a physics engine," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 71(3), pages 1679-1693, April.
    8. Seunghoo Jeong & Byeong Je Kim & Young‐Joo Lee & Ji‐Bum Chung & Sung‐Han Sim, 2020. "Individual Disaster Assistance For Socially Vulnerable People: Lessons Learned From the Pohang Earthquake in the Republic of Korea," Risk Analysis, John Wiley & Sons, vol. 40(11), pages 2373-2389, November.
    9. Daniele Ehrlich & Patrizia Tenerelli, 2013. "Optical satellite imagery for quantifying spatio-temporal dimension of physical exposure in disaster risk assessments," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(3), pages 1271-1289, September.
    10. Annemarie Ebert & Norman Kerle & Alfred Stein, 2009. "Urban social vulnerability assessment with physical proxies and spatial metrics derived from air- and spaceborne imagery and GIS data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 48(2), pages 275-294, February.
    11. Massimiliano Pittore & Marc Wieland & Kevin Fleming, 2017. "Perspectives on global dynamic exposure modelling for geo-risk assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 7-30, March.
    12. Abdelheq Guettiche & Philippe Guéguen & Mostefa Mimoune, 2017. "Seismic vulnerability assessment using association rule learning: application to the city of Constantine, Algeria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(3), pages 1223-1245, April.
    13. Guohua Chen & Qin Yang & Xuexi Chen & Kongxing Huang & Tao Zeng & Zhi Yuan, 2021. "Methodology of Urban Safety and Security Assessment Based on the Overall Risk Management Perspective," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    14. Azucena Román-de la Sancha & Rodolfo Silva, 2020. "Multivariable Analysis of Transport Network Seismic Performance: Mexico City," Sustainability, MDPI, vol. 12(22), pages 1-40, November.
    15. Christian Geiß & Hannes Taubenböck, 2013. "Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(1), pages 7-48, August.
    16. Christoph Aubrecht & Patrick Meier & Hannes Taubenböck, 2017. "Speeding up the clock in remote sensing: identifying the ‘black spots’ in exposure dynamics by capitalizing on the full spectrum of joint high spatial and temporal resolution," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(1), pages 177-182, March.
    17. Shutian Zhou & Guofang Zhai, 2023. "A Multi-Hazard Risk Assessment Framework for Urban Disaster Prevention Planning: A Case Study of Xiamen, China," Land, MDPI, vol. 12(10), pages 1-19, October.
    18. Russell Blong, 2003. "A New Damage Index," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 30(1), pages 1-23, September.
    19. Maria Rosa Trovato & Vittoria Ventura & Monia Lanzafame & Salvatore Giuffrida & Ludovica Nasca, 2024. "Seismic–Energy Retrofit as Information-Value: Axiological Programming for the Ecological Transition," Sustainability, MDPI, vol. 16(6), pages 1-37, March.
    20. Dhaoui, Iyad, 2014. "Analyse des enjeux et de la vulnérabilité au risque d’inondation d’oued Medjerda [Analysis of vulnerability to risk of Medjerda Oued]," MPRA Paper 87649, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:71:y:2014:i:1:p:151-174. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.