Earth Science Information Partners – ESIP Initiatives in

Disasters Lifecycle Management

ESIP Disasters Lifecycle Cluster

Who We Are…ESIP is a diverse community of innovative science, data and information technology practitioners. As an organization, ESIP optimizes collaboration through in-person meetings and virtually through collaboration spaces on the Web to support community-defined topics in Earth science data stewardship, information technology and interoperability, education and application areas like disaster response or agriculture and climate.

The overarching objective of the ESIP Disaster Lifecycle Cluster is to facilitate connections and coordinate efforts among data providers, managers and developers of disaster lifecycle management systems and tools, and end-user communities within ESIP and to engage outside user organizations for feedback and engagement.

What We Do…

• Engage with external partners through workshops, webinars, and teleconference calls to build and maintain a network for collaborative disaster response & recovery.

• Introduce new ways to access and share geospatial data between partners.

• Develop documents addressing data system guidelines and data requirements for the disaster lifecycle community.

• Identify and showcase trusted authoritative data source and data products for decision making in disaster scenarios.

• Leverage Collaborative Common Operating Picture (C-COP) Testbedto identify and test ESIP member data sets to be recognized as trusted data sources for agencies and organizations responding to disasters. See GeoCollaborate below.

• Develop workshops for disaster data user communities to identify needed information for data-driven decision making.

• Capture user stories showing how relevant data products and tools have helped decision making during disasters.

Further Information

• ESIP Disaster Lifecycle Cluster web site http://wiki.esipfed.org/index.php/Disasters

• Subscribe to the email distribution list esip-disasters@lists.esipfed.org

• Glasscoe M, Aubrey A, Rosinski A, Morentz J, Beilin P, and Jones D,(2016), Trusted Data Sharing and Imagery Workflow for Disaster Response in Partnership with the State of California. AGU FM16

• Graves SJ, Nair U, Ebersole S, Keiser K, McEniry M, Beck JM. (2017), Data Preparedness for Disasters, Hazards and Other Events. ESIP Winter Meeting

• NASA EOSDIS (2016), SEDAC Hazards Mapper Provides a Rapid Assessment of Risk, EOSDIS Update Spring, https://earthdata.nasa.gov/sedac-hazard-mapper

• Earthdata Webinar: Rapid Assessment of Hazard Impacts-NASA SEDAC Hazard Mapper. Retrieved 29 August 2017 fromhttps://www.youtube.com/watch?v=p4nJXe8P03E

• Moe, K., and Evans, J. (2014), Earthzinehttp://earthzine.org/2014/07/15/architecting-an-earth-observation-strategy-for-disaster-risk-management/

• Jones, D. (2013), Collaborative Decision Making: Enhancing Situational Awareness with Satellite Data Use in Real‐Time to Improve Readiness, Response and Recovery. NOAA 2013 Satellite Conference http://satelliteconferences.noaa.gov/2013/adgen_list.htm

• All Hazards Consortium web site http://www.ahcusa.org

Susana B. Adamo, Ph.D. – sadamo@ciesin.columbia.eduNASA Socioeconomic Data and Applications Center (SEDAC)CIESIN, Columbia University

Karen L. Moe, Ret. – karen.moe@nasa.govESIP Disasters Lifecycle Cluster NASA Earth Science Technology OfficeMAKING DATA MATTER

Disaster Life Cycle

Source: www.ceos.org/

GeoCollaborate®StormCenter Communications and ESIP Disaster Cluster's testbedproject to build a platform-independent geospatial data-sharing portal/visualization engine for disaster response and recovery. Screenshot of how GeoCollaborate® works. With one screen acting as a LEAD and the other screen acting as a FOLLOWER, responders in different locations are able to coorindate their disaster response efforts together in real time and share information back into the session.

Background Image Source: Hurricane Harvey taken on 24 Aug. 2017. NASA Earth Observatory image by Jesse Allen, using data from the Land Atmosphere Near real-time Capability for EOS (LANCE). www.earthobservatory.nasa.gov

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User defines a Data Subscription for a future event

An event matching a user’s subscription occurs and an alert isreceived from an authoritative source

Trusted Data processes defined in user’s subscription are executed for the new event

Event Album is generated containing links to all event-related data (creating a virtual collection)

● Data Search● Generate Products● Fuse products● Social Media Filters● Run Models● Task Sensors

Multiple users and applications utilize data contents of an event’s album for decision making

REACT (Rapid Event Album CollecTions) User

Workflow Steps to Automated

Event-Driven Data Delivery

Contact: Sara Gravessgraves@itsc.uah.edu

REACT

Provides user subscription services for event-relevant data

• Manages user subscriptions

• Supports definitions of event types

• Supports connection with pre-defined data processes

o Science data search / discovery

o Data product generation / process workflows

o Model executions

o Sensor tasking

o Relevant social media

• Creation and management of virtual collections (event

albums) automatically delivered upon event occurance

• Based on Event-Driven Data Delivery (ED3) Technology

from UAH

Users query products(SpotOnResponse, NICS,

Google Earth, etc)

Pass on to Decision Makers (local, state, federal)

Authoritative data securely shared

Products generatedInformation Sharing

WorkflowXchangeCore

Trusted Data Sharing and Technology Interoperability

In Partnership with the State of California

Working to enable coordination between research scientists, applied scientists and decision makers in

order to reduce duplication of effort, maximize information sharing, translate scientific results into

actionable information for decision-makers, and increase situational awareness.

Cascadia Rising Team:

Maggi Glasscoe (NASA Jet Propulsion Lab)

Anne Rosinski (California Earthquake

Clearinghouse / California Geological Survey)

James Morentz (JWMorentz LLC)

Phil Beilin (City of Walnut Creek)

UAVSAR imagery provided to the Clearinghouse in California; mock flight plans created for Pacific Northwest

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The California Earthquake

Clearinghouse Cascadia Rising

exercise focused on

interdependencies of critical

infrastructure, information sharing,

and coordination for response,

recovery, and regional resiliency

NASA participants supported the

Clearinghouse through

XchangeCore Web Service Data

Orchestration and SpotOnResponse

Field responders identify incidents & deploy in the field

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Critical infrastructure identified as sustaining high damage

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NASA data shared via XchangeCore and SpotOnResponse to the Clearinghouse

http://sedac.ciesin.columbia.edu/mapping/hazards/https://itunes.apple.com/us/app/hazards-population-

mapper/id1092168898?mt=8

SEDAC Hazards Mapper & HazPop iOS App

• Provide situational awareness• Exposed infrastructure– Identify critical infrastructure (dams, power

plants) that might be affected by a hazard event

• Exposed populations– Quickly estimate how many people live in

vicinity of a recent hazard event or a major facility, within a hazard warning area, or along a major road.

• Hazard-related data and warnings from multiple sources– Earthquakes, fires, smoke, flood warnings (US

only)– EONet Hazard Events

• HazPop iOS App– Location-based services in mobile app can alert

user when moving within user-defined distance of a point of interest

– Android version in progress

Sample Projects by ESIP Members

Sharing Best Practices

Key Initiatives: Trusted Data for Data-Driven Decision MakingESIP is collaborating with the All Hazards Consortium (AHC) to assist electric power utilities in their mutual assistance efforts to restore power after a disaster. Current Initiatives: • Use Case methodology to understand field operators’ needs for data• GeoCollaborate ® testbed and process to evaluate candidate data sets by end users• Trusted Data criteria to assess “fitness for use” data quality characteristics• Operational Readiness Levels (ORL) to identify qualified data for future use

Goals of Disasters Lifecycle Initiatives• Reduce cost of finding information Operational Readiness Levels

Daily Disaster Dashboard for the Multi-State Fleet Response Working Group. Legend: Green – Trucks Pass Through; Red – Declared Emergency; Purple – Issued Waivers or Guidance

Last Update: Sunday 8-27-2017 at 4:00pm ET

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1• Data available NOW

• Immediate Situational Awareness (SA) & Decision Making (DM)

• Person available to contact

• Data available sporadically

• Event-driven, may be delayed due to acquisition &processing time req’d

• Could be very useful for SA & DM

• Person available to contact

• Data nearly operational, testing phase

• Not guaranteed

• Could improve SA and DM

• Target operations in 6-12 months

• Data Discovery, collection, processing, testing phase

• Being evaluated for accuracy, validated

• Target for operations 12+ months

• Not likely to be immediately useful for operations

ORL

ORL

ORL

ORL

OPERATIONAL READINESS LEVEL

OPERATIONAL READINESS LEVEL

OPERATIONAL READINESS LEVEL

OPERATIONAL READINESS LEVEL

• Educating users about products and services

• Reduce cost of building and maintaining products and services

• Develop a community and a brand for trusted data