Difference between revisions of "ESIP 2021 Summer Meeting Materials for the session 'Identifying technology capabilities that meet wildfire science and practitioner requirements'"
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==Purpose of this page== | ==Purpose of this page== | ||
| − | This page provides a summary of the session [https://sched.co/jMOK ESIP Summer 2021 meeting session 'Identifying technology capabilities that meet wildfire science and practitioner requirements'] held on 2021-07-21 co-organized by the ESIP [[Agriculture and Climate]] Cluster and the ESIP Semantic Harmonization Cluster. | + | This page provides a summary of the session [https://sched.co/jMOK ESIP Summer 2021 meeting session 'Identifying technology capabilities that meet wildfire science and practitioner requirements'] held on 2021-07-21 co-organized by the ESIP [[Agriculture and Climate]] Cluster and the [https://wiki.esipfed.org/SemanticHarmonization ESIP Semantic Harmonization Cluster]. |
==People involved== | ==People involved== | ||
Revision as of 05:42, July 14, 2021
Purpose of this page
This page provides a summary of the session ESIP Summer 2021 meeting session 'Identifying technology capabilities that meet wildfire science and practitioner requirements' held on 2021-07-21 co-organized by the ESIP Agriculture and Climate Cluster and the ESIP Semantic Harmonization Cluster.
People involved
- Session organizers:
- Presenters:
- Everett Hinkley (US Forest Service, Geospatial Management Office National Remote Sensing Program Manager)
- Dave Zader (Wildland Fire Administrator for The City of Boulder, CO Fire Department (retired), Wildlife Fire Policy Committee member for the International Association of Fire Chiefs)
- Session attendees: <to be populated>
Overview
Wildfire data and information should ideally be reusable and repurposable across different fire management phases. For example, infrastructure that is vulnerable to wildfire-induced floods identified during the active-fight fighting phase should be easily discoverable to city managers weeks or even months later, when heavy rains on burn areas may trigger catastrophic debris-flow that threaten lives. The Agriculture and Climate Cluster and the Semantic Harmonization Cluster are examining how formally encoded knowledge about disasters like wildfires can be used to enable applications (including AI/ML applications) that result in wildfire data and information interoperability across fire management phases.
