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/
- Policy Brief: ‘Data ecosystem’ to support consistent and well-founded decision-making– Bapon Fakhruddin discusses why the COVID-19 pandemic requires thinking and decision making supported by a data ecosystem which looks much further into the future than previous short-term approaches. https://council.science/current/blog/setting-up-a-data-ecosystem-to-defeat-covid-19/
- 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/
- Monthly data and DRR newsletter: In partnership with Disaster DATA Working Group of Integrated Research on Disaster Risk(IRDR) programme of ICSU/UNISDR, Sustainable Development Solution Network, Public Health England and Tonkin + Taylor. The data and disaster newsletter is very popular in the DRR community. More than 1250 subscriber at present. The June 2020 issue could be found here https://tonkintaylor.cmail19.com/t/ViewEmail/t/8DC7A06587EA2A842540EF23F30FEDED/E1B19278A0D5E96A405DC10595964AA8
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.
- 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
- 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.