The cloud can enable groups to support humanitarian and disaster response partners through all phases of the response cycle. We'll hear from the Humanitarian OpenStreetMap Team about how they are using AWS along with open-source tools to deploy a fully scalable system that can meet the needs of emergency activations and crisis response situations. We'll also take a look at a prototype for monitoring and starting a response chain based on the USGS Earthquake Notification Service.

1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Joe Flasher
Open Geospatial Data Lead, AWS
Tyler Radford
Executive Director, Humanitarian OpenStreetMap Team
Using AWS and Open Data to Meet the
Demands of Disaster Response
Situations

2. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Why does AWS care about Open Data?
Many of our public sector
customers are required to make
their data available to the
public.
Sharing data on AWS makes it accessible to a large and growing community
of researchers, entrepreneurs, and enterprises who use the AWS Cloud.
Many of our commercial sector
customers rely on access to
open data to develop their
products.

3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
The AWS Open Data
program makes more data
more available to more
people.
https://opendata.aws

4. Earth Observation Life Sciences & Genomics Machine Learning
https://registry.opendata.aws

5. Elevation
Models
Aerial
Imagery
Climate
Models
Satellite
Imagery
High-resolution
Radar
aws.amazon.com/earth

6. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
To provide meaningful, actionable information as quickly as
possible to respond to disaster situations arising from
earthquakes.

7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Using AWS Step Functions to Outline the Process

8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Query OpenStreetMap for Medical Facilities

9. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Using Serverless to Visualize and Analyze Imagery

10. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Using Amazon Athena to Query OpenStreetMap

11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
 Can be used by groups to investigate road/building quality, access to
health centers, access to road networks
 Data is updated weekly
 Queries can be completed in seconds, paying only for data scanned
for analysis
 Servers not required!
All health centers in Guinea, Sierra Leone, and Liberia

12. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.

13. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Run Machine Learning Models on the Data

14. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
The SpaceNet Dataset is an open repository of over 5,700+ km2 of satellite
imagery across 5 cities, 520,000+ vectors, and a series of challenges to
accelerate geospatial machine learning.
Automated Mapping
Challenge: Building
Extraction Rounds 1 & 2
Nov. 2016 – Jun. 2017
High Revisit Challenge:
Off-Nadir Object Detection
Launching Spring 2018
Automated Mapping
Challenge:
Road Network Extraction
Nov 2017 – Feb 2018

15. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Open Source ML Tools from Development Seed
1. Satellite machine learning training data generation:
Label Maker, Skynet-data;
2. Open source machine learning pipelines:
● Image classification:
High-voltage grids
AWS SageMaker case study
ResNet with AWS
● Image segmentation: Skynet
● Object detection: Tensorflow object detection

16. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Use Amazon Connect to Deploy a Call Center

17. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Connect is a self-service, cloud-based contact
center service
• Easy to set up and manage
• Scalable and elastic
• Pay as you go
• Reliable
• Open platform, can use AWS Lambda to power call
flows
Use Amazon Connect to Deploy a Call Center

18. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Wait for Human Input Before Large Activations

19. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
A Mobile Response Center in the Field

20. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
See it live!
http://earthquake-data-test.s3.amazonaws.com/index.html

21. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
More info!
https://registry.opendata.aws/
https://aws.amazon.com/earth
AWS Disaster Response: Using Deployable Native AWS
Services for your Rapid Response Infrastructure
Room 152 AB, 3:05 PM - 3:55 PM
Stop by the booth in the exhibition hall!

23. January 12, 2010:
Magnitude 7.0
earthquake strikes Haiti

25. State of the map on
Jan.12. Poor
representation of reality.
Hundreds of people start
to volunteer.
18 Days Later…
Port-au-Prince, Haiti
January 30, 2010

26. How to coordinate hundreds/thousands of volunteers
Concept of a coordination tool is born

27. Remote mapping: Aerial imagery

28. Remote mapping: Digitization

29. Many of the locations vulnerable to disaster are
often the least mapped.
The Right people
can’t get to the right
places

30. Eight years later: how did we get here?

31. OpenStreetMap: 4.3 million registered users
So, what is HOT?
100,000 Volunteers
Hundreds of communities all over the world

32. Develop locally, scale globally
HOT has used the Tasking Manager in 50+ rapid responses

33. • Built right here in Indonesia
• Used to respond globally

34. • Evolution to today with TM3
AWS Elastic Beanstalk integral to our workflow

35. Puerto Rico: Hurricane Maria

36. Thousands of mappers respond;
AWS helps scale to meet demand

37. Your map on the wall Hurricane Maria response, Puerto Rico

38. Despite successes,
we have a major
challenge:
2010 Haiti problem
still exists in 2018

39. Mapping for flood resilience in Dar es Salaam
39
Jangwani ward, Dar es Salaam: May 4, 2018

40. Capturing aerial imagery locally – then sharing globally

42. Hananasif, Dar es Salaam, Tanzania
January 2017

43. Mapping process
Community meetings and neighborhood
surveys identify flooding hotspots

46. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Thank you!