Dr. Marlene Willkomm Stadtentwässerungsbetriebe Köln, AöR Hochwasserschutzzentrale (HSZ) Ostmerheimer Straße 555, 51109 Köln marlene.willkomm@steb-koeln.de

Dr. Stefan Jäger geomer GmbH GeoIntelligence & Beyond Im Breitspiel 11b D-69126 Heidelberg www.geomer.de

Being Prepared: smart data in disaster risk management

Flood in January 2011 (8.91 m cologne gauge), photo: Peter Jost

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Who we are:The Partners of the sd-kama project

Supply of remote sensing data (TerraSAR-X und TanDEM-X) as well as

data analysis

Capture and dispatch of picture data and video data as well as interpretation dependent on situation and evaluation

Big Data platform (data source adapters, streaming analytics,

predictions, notifications and alerts to dashboard)

User: Flood management und -prevention; requirement definiftion, validation

GeoIntelligence-Solutions with main focus in disaster risk management

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Use Case Cologne

Map of

Germany

Cologne

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

River Rhine

Upper Rhine Development:

» Shortening of the river length by around 82 km

» Runoff time reduced by 30 h between Basel and Maxau (approx. 200 km, another 300km to Cologne)

» Time to act has decreased in Cologne

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Examples of „Disaster Floods“

1993

10.63 m Cologne Gauge

1995

10.69 m Cologne Gauge

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Our challenge: during a crisis every minute counts

» authorities must react fast and accurate to minimize the damages to people, property and infrastructure. Often there is a lack of the most up-to-date and accurate overview of the situation:

» Currently, information is provided • from different sources and systems, • is given in different formats • must in some cases even be processed

in time intensive manual tasks

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Research project

» Goal: bring adaquate and relevant information to different stakeholders

• before, • during, • after

… crisis situations » Real on near real time web based visualization tools » Consider data privacy regulations » Development of a web-based demonstration platform

• With modern tools • API based access

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

DATA

INTEGRATION

ANALYSIS/ VISUALIZATION

INFORMATION

APPLICATION

Remote Sensing Existing System Data DLR / HHI

StEB

BIG DATA

SAG geom

er SMART DATA Notofications

Warnings Automation Coordination

Forecasts & Decision Support

Public Rescue Staff Disaster Management

In situ sensing, media

image and video understanding

Data linking semantic enrichment

sd-kama system scheme

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Approach and ideas

» Wearable sensors provide information on physical conditions of groups of field staff

» Processed Image and video materials provide detailed insight in near real time (rEchtzeitig)

» Processing of satellite imagery provides derived information overviews and data about exposed population and infrastructure

» Web based mapping platform integrates data streams and analysis tools

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Project operating figures

» The project sd-kama is funded by the Federal Ministry for Economy and Energy (BMWi) within the smart-data programme.

» The project time is 3 years (04/2015 – 03/2018).

Flood in Cologne, January 1995, 10.69 m Cologne Gauge

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Technical components

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Detect and locate „stress“ situations early

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

A picture‘s worth a 100 words sd-kama App enables users to send images and video footage to the sd-kama server

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Filter and manage huge amaount of images:

» group by motive and sort by perspective

» create panoramic scenes

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Integration of RS-derived flood layers

Alert Crisis Information Mapping (HR / VHR SAR Data)

Continuous Monitoring

t1

t2

t3

sd-kama EUS

SAR-based flood services (Sentinel-1, TerraSAR-X, etc.)

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Integration of remote sensing derived geospatial data

» 3D-exposure by combining various RS platforms: Sentinel-2, WorldView-2, TerraSAR/TanDEM-X, Cartosat-1,…..

t1

t2

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

The sd-kama demonstrator platform.. » Integrates in-situ sensor data from …

• wearable sensors • satellite sensor derived data • weather data and river flow gauge data and forecasts • Real time image, video and audio data

» Provides map based tools for … • monitoring the river flood level • monitoring the development of protection measures • estimating of potential number of people at risk • estimating economic damages • visualizing failure scenarios

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Underlying Big Data Platform

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Make events known to the decision makers

» Send events to EUS Web platform, piped through, and enriched by APAMA

• Based on geo-location • Based on event type • Enriched by gauge level

» REST based backend receives and sends to web application as well as to long term storage

» Stored in archive database (JSON based)

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Web-App

» Moduled based Map Application

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Visualize Events in a Timeline and through Media Center

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Visualize Events in a Timeline and through Media Center

» Location based » Stakeholder based » Time based » Legally valid (e.g. by blurred faces)

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Model potential damages using interactive vulnerability functions

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Manage actions during crisis

EU-JAP-WS on "Big Data for Sustainability and Tourism" March 8 2017, Hamburg, Germany

Show failure scenarios

Dr. Marlene Willkomm Stadtentwässerungsbetriebe Köln, AöR Hochwasserschutzzentrale (HSZ) Ostmerheimer Straße 555, 51109 Köln marlene.willkomm@steb-koeln.de

Dr. Stefan Jäger geomer GmbH GeoIntelligence & Beyond Im Breitspiel 11b D-69126 Heidelberg www.geomer.de

Thank you

for your attention!

„And what are we waiting for now?“

„For the Flood!“ www.sd-kama.de

Foliennummer 1Who we are:The Partners of the sd-kama projectFoliennummer 3Upper Rhine Development:Foliennummer 5Our challenge: during a crisis every minute countsResearch projectsd-kama system schemeApproach and ideasProject operating figuresTechnical componentsDetect and locate „stress“ situations earlyA picture‘s worth a 100 wordsFilter and manage huge amaount of images:�������Integration of RS-derived flood layersIntegration of remote sensing derived geospatial dataThe sd-kama demonstrator platform..Underlying Big Data Platform Make events known to the decision makersWeb-App Visualize Events in a Timeline and through Media CenterVisualize Events in a Timeline and through Media CenterModel potential damages using interactive �vulnerability functionsManage actions during crisisShow failure scenarios�Thank you� for your attention!