Disaster Cluster: Long term sustainability

Abstract/Agenda: 

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.

 

Agenda

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?
 
Notes: 

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

-etc.

 

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

 

sweet.jpl.nasa.gov

 

[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

 

gcmd.gsfc.nasa.gov

 

______________________________________

 

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

 

www.stormcenter.com/geo_collab.html

 

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. 

 

Proposal

 

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

--relationships/semantics

 

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.

 

 

 

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