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2020 GEO SDG Award: The CODATA TG on FAIR Data for Disaster Risk Research and Tonkin+Taylor have been awarded the GEO SDG Testimonial Award for work on Rapid Damage Mapping response in support of #SDG11 as part of GEO Week 2020. More here https://codata.org/initiatives/task-groups/fair-data-for-disaster-risk-research/2020-geo-sdg-award/

 Publications

  • White Paper on “Next Generation Disaster Data Infrastructure”: This white paper proposes the next generation of disaster data infrastructure, which includes both novel and the most essential information systems and services that a country or a region can depend on to successfully gather, process and display disaster data to reduce the impact of natural hazards.Based on the above discussion and the targets of the Sendai Framework, this white paper proposes the next generation of disaster data infrastructure natural hazards. Fundamental requirements of disaster data infrastructure include (1) effective multi-source big disaster data collection (2) efficient big disaster data fusion, exchange, and query, (3) strict big disaster data quality control and standard construction (4) real time big data analysis and decision making and (5) user-friendly big data visualization. https://reliefweb.int/report/world/next-generation-disaster-data-infrastructure
  • Policy Brief “Disaster Loss Data in Monitoring the Implementation of the Sendai Framework”: The ISC’s newly published report, coincides with the UNDRR’s Global Platform on Disaster Risk Reduction and makes seven key policy recommendations, from improving partnerships between intragovernmental agencies, academic, private sector, NGOs and insurance authorities to ensuring standardized disaster loss data quantification is adequately able to identify gaps in risk assessment. The policy brief was published for the UNDRR global platform 2019 in Geneva, Switzerland, May 2019. https://council.science/publications/disaster-loss-data-in-monitoring-the-implementation-of-the-sendai-framework/

FAIR-DRR took part several activities since 2018. Major activities are summarized below:

Rapid damage mapping (RDM) for disaster response: In partnership with China GEO and Tonkin +Taylor following rapid damage mapping for 24-72 hrs were supported to countries

  • Canterbury Earthquake Sequence – NZ
  • Tropical Cyclone Winston – Fiji
  • Tropical Cyclone Gita – Tonga
  • Kaikoura Earthquake – NZ
  • Sulawesi Earthquake and Tsunami – Indonesia
  • Tropical Cyclones Idai and Kenneth – Mozambique
  • Honiara Flood – Solomon Islands
  • Bangladesh cyclone 2021

The Government of Indonesia and development partners appreciated LODGD and it’s partners to  support for rapid damage mapping of the Palu earthquake and tsunami. The Rapid Damage Mapping (RDM) tools demonstrated saving people’s life and efficient disaster response management by the Government and humanitarian agencies. The RDM empowered organisations with regional scale mapping information of a resolution appropriate for early coordination and management for disaster response.

The ChinaGEO Disaster Data Response Mechanism (CDDR) was initiated in 2016 and responsible for coordinating the Chinese high-resolution satellite images and analysis products to disaster-affected countries.

CDDR uses FAIR concepts (Fast, Accessible, Interoperable and Reusable). As of June 2020, it has been activated twenty times for major disaster events in the world and has been regarded as a complement of the inter-governmental disaster reduction under the Sendai framework.

Based on the GEO Data Sharing Principles, the CDDR is successful in China and the next step will be implemented in AOGEOSS.

 Other publications:

  •  Nina Frolova, Valery Larionov, Jean Bonnin, Sergey Suchshev, and Aleksander Ugarov: EMERCOM data base for natural and technological risk assessment and management, Geophysical Research Abstracts Vol. 21, EGU2019-3281, 2019 EGU General Assembly 2019 © Author(s) 2019. CC Attribution 4.0 license.
  • Alexander Ugarov, Nina Frolova, Jean Bonnin, Li Guoqing, and Bapon Fakhruddin: Open loss data interconnectivity for earthquake disaster risk management, Geophysical Research Abstracts Vol. 21, EGU2019-18564, 2019 EGU General Assembly 2019 © Author(s) 2019. CC Attribution 4.0 license.
  • Nina I. Frolova, Valery I. Larionov, Jean Bonnin, Sergey P. Suchshev, Alexander Ugarov, and Nataliya Malaeva:
  • Impact data bases application for natural and technological risk management. https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2019-264/ Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-264, 2019
  • N. I. Frolova, I. P. Gabsatarova, N. V. Petrova, A. N. Ugarov, N. S. Malaeva: Influence Of Shaking Intensity Attenuation Peculiarities On Reliability Of Earthquake Loss Estimation In Emergency Mode, Geoekologiya, 2019, no. 5, pp. 23-37. (in Russian) DOI: https://doi.org/10.31857/S0869-78092019523-37
  • Nina Frolova and Aleksander Ugarov: Big Data Usage for Increasing the Reliability of Near Real Time Earthquake Loss Estimations. Materials of the international Forum “Digitalization 2019”, Moscow State University, 28-29 October, 2019

Presentations/Webinars

  • Side-even on Linked Open Data for Global Disaster Risk Reduction in CODATA 2019: A side event was organized in CODATA 2019 on September 19, 2019, in Beijing China to share the applications of big data for rapid damage mapping and opportunities to strengthen the RDM capacity in emergency response. The while paper mentioned above also launched in the CODATA 2019.
  • EGU 2019 in Vienna: There were two oral talks delivered at EGU 2019 special sessions in Vienna (abstracts are published, title see below) and a talk delivered at the International Forum “Digitalization 2019” at Moscow State University in Moscow (title see below). During talks and in the published papers different issues of natural and technological disaster data collection and transmission, standards and formats, availability are discussed with special attention to earthquake impact data bases and their usage for loss models calibration.
  • GEO Week, 4-9 November 2019 in Australia: CODATA and ESIP conven a side-event at GEO week on “Data for our planet: Increasing the use and value of global information infrastructures to support resilient cities, disaster risk reduction and infectious diseases” followed by a round-table. LODGD Co-chair presented the data interoperability and rapid damage mapping for disaster response.
  • GEO Week, 21-24 June 2020, Virtual: Harnessing data is vital for climate and disaster risk reduction, sustainable development, and urban resilience. Eo solutions are continually evolving and provide significantly detailed information in understanding the Earth, its oceans, and the atmosphere. Advancements in technology have led to a dramatic increase in the availability of satellite imagery and the power of geospatial services, which can allow countries to cost-effectively access and utilise data for risk assessment and development plans, and the design and implementation of climate change projects and programmes. Utilising EO solutions would ensure coherence and achieve the goals set out in the United Nations Framework Convention on Climate Change, the Paris Agreement, and the 2030 Agenda for Sustainable Development. Despite advances in the availability and quality of EO data and solutions, several gaps and challenges remain in developing countries, including the high-cost of data collection and processing, insufficient human resources and experts to take advantage of innovative technologies, lack of strategic utilisation data, inadequate coordination across institutions, and the lack of infrastructure. This session discussed good practice, lessons learned on EO data and solutions for risk assessment, damage mapping and the development of plans.

Achievement 2017

a summary of recent TG activity involving Dr Bapon Fakhruddin and Professor Virginia Murray is available on the CODATA blog here (https://codata.org/blog/2017/10/04/summary-of-linked-open-data-for-global-disaster-risk-research-activity-involving-dr-bapon-fakhruddin-and-professor-virginia-murray/)

 Achievements 2016

  1. LODGD white paper meeting, in Beijing, China, at 18-19 January, 2016
    Thanks to financial support from CODATA-China and RADI, a number of LODGD Task group members participated in the meeting. The main task of the meeting was to review the LODGD White Paper “Gap Analysis on Linking Open Data for Global Disaster Risk Research” and to kick-off the second white paper entitled “Next Generation Disaster Data Infrastructure”. The meeting achieved great success including the suggestions and modifications needed to improve the first white paper. Also the working model, structure and timeline for the “Next Generation Disaster Data Infrastructure” White Paper was determined.
  2. UNISDR Conference in Geneva, Switzerland, 27-29 January 2016. As representative of LODGD, Masaru Yarime participated this meeting and communicate with other communities.
  3. LODGD jointed session on GEOSS Data Services along Belt and Road Area at the EOBAR conference, 16-17 of May in Beijing. Li Guoqing servced as the chair and more than 8 reports were presented, including from Ms. Barbara Ryan, the Director of the GEO Secretariat.
  4. Meeting with Carol and Li Guoqing, 12 of June in Beijing, to discuss the renewal of the Task Group, as well as the preparation of activities at International Data Week in Denver in September 2016.
  5. Li Guoqing gave a lecture on understanding data science at the CODATA International Training Workshop in Big Data for Science, Beijing, on 11 July.
  6. The LODGD Task Group helped organise a research paper session with the title of Disasters and Disasters Risk Data during SciDataCon 2016, on 13 September in Denver, Colorado. The session included four papers from the LODGD team (presenters given below):
    1. Carol Song et al, Gap Analysis on Open Data Interconnectivity for Global Disaster Risk Research
    2. Masaru Yarime, Providing Incentives to Data Sharing and Integration for Disaster Risk Reduction: Implications for Institutional Design and Public Policy
    3. Virginia Murray et al., Utilization of Global and Historical Data for Pre-Impact Risk Assessment
    4. Virginia Murray et al., The Disaster Loss Data (DATA) project of Integrated Research on Disaster Risk (IRDR)
  7. Li Guoqing will give lecture on disaster data link and DDI in training course of CAS-TWAS CAS, in December 2016, in Sanya, China.

Achievements 2015

Second Phase Kick-Off Meeting

The kick-off meeting for the second phase of the LODGD Task Group was held on 27th April 2015 with the participation of more than ten young scientists. Dr. Li Guoqing gave a brief introduction of the second phase tasks, then Hongyue Zhang reviewed the achievement of the first phase.  Finally, Carol Song gave a report on progress of the White Paper.

All the members showed a great interest in this event and approved the workplan for the second phase. Among the achievements of the meeting was that several notable international experts joined the Task Group.  Brenda K. Jones, Professors Murata and Yarime will bring their insights to the Task Group’s work in its second phase.

The presentations from the kick-off meeting are available from Zenodo: Li, Guoqing and Zhang, Hongyue. (2015). Presentations: Progress and Next Steps for the CODATA Task Group on Linked Open Data for Global Disaster Risk Research.

DOI: http://dx.doi.org/10.5281/zenodo.20686

Article ‘A Correlation Analysis Model for Multidisciplinary Data in Disaster Research’ in the Data Science Journal

Abstract: Data play an important role in disaster mitigation applications, and the integrated employment of multidisciplinary data promotes the development of disaster science. Therefore it is very useful to identify the multidisciplinary data usage in the research of disaster events. In order to discover the correlation between multidisciplinary data and disaster research, three earthquake events, the Tangshan earthquake, the Wenchuan earthquake, and the Haidi earthquake were selected as typical study cases for this paper. A knowledge model for literature data mining was applied to analyze the correlation between earthquake events and multidisciplinary data types. The results indicate that high-cited papers show different data usage trends when compared with whole-set papers and also that data usage for the three earthquake events varies. According to analysis results, the factors that influence multidisciplinary data usage include the characteristics of spatial and temporal elements as well as differing interests of the data users.

Citation: Zhang, H., Qing, X., Huang, M., & Li, G.. (2015). A Correlation Analysis Model for Multidisciplinary Data in Disaster Research. Data Science Journal, 14(0), 19. DOI: http://doi.org/10.5334/dsj-2015-019

Achievements 2013-14

Draft White Paper on Distributed Disaster Datasets

The White Paper is intended to provide an authoriative assessment of the current state of integrative utilization of distributed disaster datasets, document both technical and policy requirements for such usage, as well as challenges and potential implementations. 

The preparatory work on the White Paper was initiated in 2013, through a series of workshops to gather expert input, define the scope of work and encourage community involvement.  As a result of these meetings, the White Paper Team was established, comprising fourteen active members, chaired by Dr. Carol Song, from Purdue University, and assisted by Miss Zhang Hongyue, as secretary.  An outline was drafted and discussed at the WPT meeting held at the RADI Campus in Sanya in October 2013.  Following this meeting, work was then continued collaboratively, supported by teleconferences.

A full draft of the White Paper was completed towards the end of 2014 and initial expert review was provided by Susan Cutter, Brenda K. Jones and Michael Rast.  Following a cycle of revisions and broader expert input, it is intended that the final White Paper will be released later in 2015 and will provide the foundation for the second phase (2014-2016), in which the Task Group will organize a series of workshops to engage with the wider community, including users of linked data and data providers, to gather feedback on the White Paper and to improve our understanding, and collectively work towards a common framework for seamlessly managing and utilizing the linked disaster related datasets.