Improving Information and Communications in a Disaster Scenario with AWS Snowball Edge

P U B L I C S E C T O R
S U M M I T
WASH INGTON, D C

© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.P U B L I C S E C TO R
S U M M I T
Improving Information and
Communications in a Disaster
Scenario with AWS Snowball Edge
Dan Pilone
Co-founder & CEO/CTO
Element 84, Inc.
dan@element84.com / @danpilone
2 9 5 4 4 0

S U M M I T

S U M M I T
By 8AM, “…the fire was
everywhere”.
On November 8, 2018 @ 7AM, a
Butte County Sheriff Search and
Rescue pager went off...

S U M M I T
Trevor Skaggs
• Volunteer with the Butte County
Sheriff's Search & Rescue and the
North Valley Animal Disaster
Group (NVADG)
• First responder on November 8,
2018
https://www.washingtonpost.com/science/2018/11/17/surviving-
camp-fire-was-hard-enough-now-these-animals-have-find-their-
humans/?utm_term=.49b7c1d1040d

S U M M I T
Day 1 Stats
Total personnel on the
scene
GIS and mapping
efforts underway

S U M M I T
What was happening
in those first 24
hours?
• Teams trying to contain the fire
• Evacuations of people and
animals from homes, schools, and
hospitals
• Traffic management
• Search and rescue operations
and missing persons
• Public communication

S U M M I T
Personal Action List
• First Responder and Search & Rescue duties
• Incident Action Plan (IAP)
• Missing persons list for SAR coordination
• Pet/animal rescue and cataloging with NVADG
• Impromptu routing for search and rescue
• Training and communication plans
(“my house may be on fire” simplicity)
• Build a GIS and mapping system

S U M M I T
Knowledge is key.

S U M M I T
User Needs Study
• Interviews with tool makers and
deployed teams
• Research into current technology
and data offerings
• Findings
• Intermediary communication issues
• Must support analog field work
• A large community of open source projects
exist to support this effort
• Ability to compute in the field could be key

S U M M I T
How Can We Make Day 1 Easier?
• We can’t get them a box fast enough
• Easy access to remote sensing data
• Basic map foundation with simple interface
• Flexibility to add disparate data sources to the map
• One-click publishing in a lightweight package
• Integration and deployment of familiar tooling
• Extremely rapid response

S U M M I T
Event Trigger
• Alerts from NOAA, National Weather Service, etc.
• Forecasting and Hurricane models
• Real-time triggers for events like earthquakes and wildfires
• Human trigger through user interface

S U M M I T
Gather Tools & Data
• Pull Open Street Map, Landsat, Digital Globe Disaster data, etc. over
affected region
• Leverage solutions like GEOINT EventKit DataPacks
• Process data as appropriate for the event type

S U M M I T
Setup Tools
• Provision services and UIs (MapServer, QGIS, etc)
• Create deployments for intermediate tooling and processing
• Build static content
• Spin up ephemeral services for immediate access

S U M M I T
Provision and Deploy
• Package AMIs appropriate for response type
• Incorporate Time of Interest (TOI), Area of Interest (AOI), data sources,
and stack selections to stage AWS Snowball Edge Data and Services
• Provision a Snowball Edge and deploy to the disaster zone

S U M M I T
In Situ Data Loop
• Deployed teams have data, network, storage, and compute
• Local data collection and processing from drones, Field Papers, and on-
the-ground imaging
• Information is accessible to teams through their tools of choice

S U M M I T
Snowball Edge gives us the ability
to extend familiar tools to an
offline environment – decreasing
cognitive overhead and time-to-
learn

S U M M I T
Open Data Program for Disaster Response
• Maxar releases open imagery for select
sudden onset major crisis events, including
pre-event imagery, post-event imagery and a
crowdsourced damage assessment.
• Imagery and crowdsourcing layers are
released into the public domain under a
Creative Commons 4.0 license
• https://www.digitalglobe.com/ecosystem/open-
data

S U M M I T
EarthWatch can provide
up-to-date, high-resolution
imagery for damage
assessment and evacuation
routing.
XTerrain can help field
teams build accurate
terrain models and
products to aid in planning
and rescue operations.

S U M M I T
How Can We Make Week 1 Easier?
• Simple interfaces that are learned in less than 15 minutes
• Maintain current data for all layers on the map
• Support for offline capabilities and sync
• Ability to integrate in-situ data from various sources

S U M M I T
Amazon Connect
• Create call centers linked to a specific event
• Public can text for emergency info, text missing
person/pet information, and report damage
• Help alleviate intermediary communications
issues
• Help create better public communication portals
for evacuations emergency info

S U M M I T
Machine Learning (ML) at the
Edge
• ML training is done prior to
deployment
• Incorporate established models
• SBE w/ GPU gives us the
opportunity to provide inference in
the field
• Use to triage and prioritize critical
data.

S U M M I T
FilmDrop
Satellite Data Pipeline Processing
and Management
●Cloud-based, instantly scalable to meet processing needs
●Custom data products and archives of convenience (AoCs)
●Algorithm development and execution
●Integration with 3rd party account management systems
(OAuth, Google)
●Payment processing
●Support for flexible sales and licensing models for data
●Security and access auditing
●Backed by the power, security, and compliance of AWS
Ground Stations and Data Acquisition
FilmDrop can use existing Amazon Simple Storage
Service (Amazon S3) buckets as a data ingest source
or automatically connect to your AWS Ground Station.
Archive and Storage
Automatically store data based on planned use and let
our FilmDrop engine help you build and index your
metadata.
Processing Pipelines
Generate ephemeral AoC and custom pipelines to
make your data more useable.
Discovery and Access
Search, discover, and visualize your data at scale and
make it available via services for your team or
customers.
https://element84.com/filmdrop

S U M M I T
Remote Ground
Station Support
• TANGO (Tactical Architecture for
Near-Real Time Global
Operations)
• Support for HADR Operations
• Ultra-portable (Supports 1-hour
setup time)
• Can feed L0 data to FilmDrop

S U M M I T
Challenges & Opportunities
• Need more programmatically accessible
Open Data
• Documentation and simplified deployment for
Open Source tooling
• Better automation for Snowball Edge in-situ
setup
• Need help testing and refining this in
exercises with first responders

S U M M I T
Providing Knowledge for Disaster
Response
• Rapid provisioning and scaling
• Ephemeral data and services for immediate
response
• Snowball Edge for offline and tactical-edge
• Familiar tooling, robust integration, and in-
situ processing
• Open data and high-value partners

Thank you!
S U M M I T
Dan Pilone
dan@element84.com
@danpilone
https://www.element84.com/dr

Improving Information and Communications in a Disaster Scenario with AWS Snowball Edge

Recommandé

Recommandé

Contenu connexe

Similaire à Improving Information and Communications in a Disaster Scenario with AWS Snowball Edge

Similaire à Improving Information and Communications in a Disaster Scenario with AWS Snowball Edge (20)

Plus de Amazon Web Services

Plus de Amazon Web Services (20)

Improving Information and Communications in a Disaster Scenario with AWS Snowball Edge