%0 Online Multimedia %A Crossman, Shane %A Bastrakova, Irina %D 2020 %T DGGS in Action: Provision of Rapid Response During Australian Bushfires and Other Applications %U https://esip.figshare.com/articles/presentation/DGGS_in_Action_Provision_of_Rapid_Response_During_Australian_Bushfires_and_Other_Applications/12032592 %R 10.6084/m9.figshare.12032592.v1 %2 https://esip.figshare.com/ndownloader/files/22111605 %K DGGS %K Discrete Global Grid System %K Putting Data to Work %K ESIP %K IT&I %K Environmental Science %X Presentation delivered on the 12th March 2020 as part of the Information Technology and Interoperability Committee Tech Dive and ESIP Putting Data to Work Webinar Series'.

Everything has a location. Location can be defined using descriptive terms (e.g. place names), geometry (e.g. geographic coordinates) and/or index notations (e.g. statistical boundaries). However, existing approaches and disconnected infrastructures limit our ability to discover, access and integrate spatial data across organisation and jurisdiction boundaries to produce up-to-date reliable information. The Location Index project (LOC-I) aims to introduce a consistent way to access, analyse and use location data to support the effective integration of socio-economic, statistical and environmental data from multiple data providers to support the spatially enabled delivery of Government policies and initiatives.

The devastation caused by the Australian Bushfires highlighted the need for a new approach for rapid data integration. The total burnt area during Autumn-Summer 2019-2020 is 72,000 square miles, which is an equivalent to a half of Montana or North Dakota and Delaware areas combined. Rapid response in provision of information on areas affected by the bushfires was required to support evaluation of the impact, and also planning the recovery process and support for families, businesses and the environment. This presentation will discuss application of the Discrete Global Grid System (DGGS) in bringing together diverse complex information from multiple sources to support the response process. The presentation will also discuss testing of the DGGS capability in other use cases.
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