Disaster Pilot 2022

For more information please contact innovation [at] ogc.org (subject: Disaster%20Pilot%202022%20Information)


 

Disaster Pilot 2022 Call for Sponsors is here


 

Building on the success and outcomes of the Disaster Resilience Pilot, Disaster Pilot 2021, and subsequent preparatory tasks,  OGC is now preparing to execute the main thread of Disaster Pilot 2022.

Vision

Disasters occur all the time, but many types of disaster are occurring more frequently, more severely, and in more regions than ever before.  Disasters and disaster impacts are increasingly complex and consequential. Drought, high winds, and extreme heat drive wildfire occurrence, leaving hillsides vulnerable to landslides in subsequent storm events. Health disasters such as pandemics, exacerbated by respiratory diseases (caused for example by those same wildfires) increase population vulnerability and hinder response efforts. All of this is being thrown into a higher gear in more places by the energy effects of climate change and global warming.

 At the same time, earth observation data, whether collected from space, measured by in situ sensors, reported by authorities, or captured by a volunteer’s cellphone, are available in almost unimaginable volume, velocity, and variety, supplemented by large and small scale predictive models and other analytical / interpretive tools. The challenge we face is to work collaboratively with this data to produce information that directly guides those in the field and on the ground to improve disaster prediction, resilience, response, and recovery. 

Our vision is to use spatial data sharing standards together with Web technologies and cloud computing so that the responsible stakeholders can work together wherever they are located, use relevant data wherever they are stored, and manage every phase of a disaster at any scale wherever it threatens. In a global, cloud-scale disaster information ecosystem, awareness of threats, vulnerabilities, and impacts can be fostered and shared through joint development of workflow recipes that integrate and transform analysis-ready observation and prediction data (ARD) into decision ready indicators (DRI). Indicator workflows, ready to run and adaptable to each situation,  provide the guidance that the right people at the right time in the right place need to make decisions, take actions, and improve disaster outcomes.

Pilot Scope

Disaster Pilot 2021 took the first steps towards designing and prototyping the disaster awareness ecosystem envisioned above. Disaster Pilot activities in 2022 are being designed  and initiated to advance this work in multiple directions and dimensions, from FAIR data sharing, cloud computing access, predictive services, ARD standards, and models for health spatial data infrastructure, to reusable apps and indicators for first responders that provide the directed information they need to do their jobs. Under consideration are:

  • Concepts: technologies and processes touched on in DP21,  now ready for further development and maturity
  • Hazards: types of hazards, in addition to the floods, landslides, and pandemics considered in DP21, that are increasingly impacting our lives.
  • Scenarios: processes and situations to be prototyped by a pilot initiative
  • Components: software systems supporting standard interfaces to be integrated and interchanged within a disaster awareness ecosystem
  • Data resources: types of EO and other data recognized as important inputs to DRI “recipes”
  • Regions: geographic areas posing particular challenges but also providing special opportunities for access to disaster relevant data and engagement with stakeholders
  • Events: Activities to foster engagement, reach out to interested communities and energize experimentation.
  • Publications: Documents and other media for capturing and disseminating the experiences, best practices, and lessons learned from Disaster Pilot 2022

Concepts

Analysis Ready Data (ARD)

ARD products are processed to common spatiotemporal and phenomenological standards allowing direct analysis and integration with other ARD products 

Decision Ready Indicators (DRI)

DRI are the result of workflow recipes that integrate, interpret, and transform ARD to directly guide actions and decisions

Applications to the Data (A2D)

Computing architecture that minimizes data transfer by processing large-scale datasets “close” to where they are stored in cloud environments

Analysis Ready Computing (ARC)

Ready-to-use cloud computing environments for producing timely ARD and DRI products

Climate Change Impact Services (CCIS)

Model services for predicting changes to disaster locations, frequencies, and severities based on shifts in local and global climate parameters

Live Workflow Graphs

Live cloud computing workflows that respond to updated EO inputs by generating new near-real-time ARD and DRI products.

Linked Hazards

Workflow graphs that estimate the dependencies in risk and impact between different types of of hazards.

 

Schedule

Building on the success and outcomes of the Disaster Resilience Pilot, Disaster Pilot 2021, and subsequent preparatory tasks,  OGC is now preparing to execute the main thread of Disaster Pilot 2022.

Schedule for major milestones of the Pilot. Contact jlieberman [at] ogc.org (Josh Lieberman) for further information.

March 1 - June 30 2022

DP22 Thread 1 Tasks: Cloud computing tools, ARD standardization, predictive services, access to health SDI

31 May 2022

DP22 Call for Sponsors: Call for sponsor engagement and selection of challenges and priorities

15 June 2022 (and rolling)

DP22 Call for Participation: Call for participant proposals addressing sponsor challenges. May be in multiple parts according to funding schedules

18 December 2020

Release Call for Sponsors

21 April 2021

Release Call for Participation

30 June (and rolling)

DP22 Thread 2 Kickoff: Initiation of Pilot activities within Thread 2

30 September 2022 - 31 March 2023

DP22 Thread 2 Conclusion: Tasks within Thread 2 will be coordinated around the same priorities, but their periods of performance may vary according to scope and funding schedules.