Disaster Cluster: Long term sustainability


Long term sustainability is crucial to capabilities supporting and enabling disaster lifecycle activities. The overarching objective of the ESIP Disaster Cluster is to facilitate connections and coordinate efforts among data providers, managers and developers of disaster response systems and tools, and end-user communities within ESIP. This session will include report of the working group's activities,  presentations that highlight use cases and Disasters & Risk Management (DRM) information architecture, as well as planning for future activities.

Since the January ESIP meeting, the Disasters Cluster has discussed elements of a disasters 'information architecture', especially at the joint ESIP/CEOS WGISS session in April. These topics support the goal of identifying and infusing new Earth observation capabilities (products and services) into end user disaster management systems. This session will look at existing efforts addressing disasters information that we might leverage in discussing and determining the cluster's action plan.



Thomas Huang – SWEET and extensions into domains, such as Disasters (15 min)
Tyler Stevens – GCMD concept for controlled vocabularies, as related to Disasters (10 min)
Matt Austin – NODC efforts on categorizing oceanographic terms (10 min)
Dave Jones – ideas for improving interoperability for disasters management (15 min)
All – Discuss action plan for Disasters cluster work and contribution to ESIP as a community (40 min)
What ESIP products do we propose that the cluster address?
Can we leverage other ESIP products/activities?

Thomas Huang


SWEET 200000 hits per month


SWEET as an Upper Level Ontology


SWEET Instances for Impacts and Relations


-keeps track of definitions and concepts related to disasters

-high level model for flood

-volcanic eruptions



Go beyond start searches - sample knowledge base system using SWEET


OSCAR - Ontological system for context artifacts and resources

-system is self growing

-multifaceted approach to data

-An iterative process

-Sources of information


System loads ontology automatically from SWEET


(google knowledge graph)


Explanation of OSCAR in action..


Tie data together via inference and ontology.


Best practices: Keep ontology small, get experts involved


New website is being developed


SWEET 2.4 in the works




[email protected]



THomas Stephens

Global Change Master Directory

up to a 5 level hierarchy

some of the keywords for disasters, within natural hazards


review of the governance process


once accepted, keywords are added during the release cycle






Matt Austin


TPIO Technology planning and information for observations


NOAA Observing system integrated analysis value tree explorer


2000 data sources, over 800 products, 72 sites, all using different terms.  Had


to reconcile these and link them


17000 nodes


How do I assign the proper ontology?


OSTP is doing the same thing


Created using d3, javascript library. Lots of visualizations that you can do.




Dave Jones


StormCenter Communications inc.


SBIR contract, new, unique idea.


Shares geospatial information into existing system. 


Delivered a mapping environment to NWS that can be linked to MEMA's system


In terms of ESIP, this is a vehicle to deliver our data to end users


Can collaborate remotely, and unite disparate COPs




Systems uses all OGC compliant data, kml is good way to share


Impact Based Decision Support Services



Sara Graves


University of Alabama


ED3 Plan Database


Event driven data delivery is a cyber framework to facilitate decision support


What are the event triggers.


Data albums, social media, and other things all feed into this system


System offers a lot of different types of information, summary analytics, summary analytics, and more.




Karen Moe


Possible activities


Trying to get together use cases. 




Need terminology, classification, relationship


Develop a process to capture end user needs

-describe use cases

-interview/survey to identify information, systems in use

-capture information content

--vocabulary, glossary, unstructured and structured information



Share in ESIP wiki

-possible use USGIN Information Exchange spreadsheet or other consistent format

-Examine information for patterns


Wish list for disaster products..(long)


What is the goal?  Let’s decide on the next telecom.

Some members that landslide and drought data that is on the wish list.

Need to put disaster wish list on the wiki and get feedback from membership.




Law, E.; Moe, K.; Disaster Cluster: Long term sustainability; Summer Meeting 2014. ESIP Commons , February 2014