Evolving Data Products for Community Resilience and Disaster Applications II
The Disaster Life Cycle Cluster coordinates efforts among data providers, managers and developers of disaster response systems and tools, and end-user communities within ESIP. We developed a working definition of the disaster life cycle phases. One cluster goal is to work with user communities to identify the information model and observations/outputs needed to enhance their decision-making.
This session will explore use cases to better understand disaster and risk management user needs and how to more effectively deliver remote sensing products to meet those needs. The implications for data systems, such as the information model and needed outputs will be discussed.
Greg Yetman/CIESIN – Improving earthquake risk assessments for the reinsurance industry using remote sensing and socioeconomic data
TBD/UAH – Nepal earthquake experience with SERVIR collaborators on pre-post event imagery involving NASA SPoRT
Ruth Duerr/UC Boulder – CCube concept for Disasters Data Discovery (based on EarthCube proposal for use of standards and web search strategies)
Discuss and identify best practices from disaster events regarding data product discovery, delivery, and utility.
* This session will focus on updating what we've done with the testbed and in particular on the California Capstone project and how that ties in with the testbed.
* A: My project produces the bulk of the data but external contributions are welcome. Any submitted data will be vetted.
* Interactive albums can provide tools and services for visualization and analysis.
* CHORDS focuses on how to disseminate data streams for community applications.
* Built last year the ability to connect to one collaborative common operating picture.