Open Community Data & Official Public Data in flood risk management

Free and Open Source Software for Geospatial July 14th - 17th 2015, Como

Open Community Data

& Official Public Data

in flood risk management:

a comparison based on InaSAFE Riccardo Pasi1,2 – Cristian Consonni1,3 – Maurizio Napolitano1

1 Fondazione Bruno Kessler (FBK) – ICT – Digital Commons Lab (DCL)

2 Università IUAV di Venezia – Dip. Progettazione e Pianificazione in Ambienti Complessi (DPPAC)

3 Università degli Studi di Trento – Dip. Ingegneria e Scienza dell'Informazione (DISI)

+ + =

Flood & DRM VGI for DRM Case study Conclusions

Free and Open Source Software for Geospatial 2015 Como

Open Community Data & Official Public Data in flood risk management: a comparison based on InaSAFE

Flood hazardous area collected from all italian PAI (Piani Assetto Idrogeologico) - ISPRA 2012




Disaster Risk Management (DRM)

United Nations Conference on Trade And Development

(UNCTAD) n. 6, 2012

In the last years, the focus shifted from disaster recovery and response to risk management and prevention, and ways to reduce the vulnerability of communities by strengthening their capacity to develop coping strategies




Volunteered Geographic Information (VGI) Recent disasters have shown the great potential and usefulness of VGI 2010 Haiti earthquake […] 2014 Nepal earthquake

The literature tends to highlight the role of VGI in the post-disaster phases, typically in the immediate aftermath of the event for: damage estimation + response planning + spatial data gathering




But there is a VGI’s underestimate potential also in pre-disaster phases:

- local knowledge (the map as a locally owned resource)

- awareness enhancement

- volunteers as ‘sensors’

A first example of this has been the work of HOT in Indonesia:

InaSAFE Indonesia Scenario Assessment for Emergencies = an hazard and risk modelling application

Crowdsourced data can be used for gathering data beforehand in order to succeed in a more sustainable development.




What is InaSAFE?







We compared the results obtained by InaSAFE when using as input the exposure data obtained from OpenStreetMap and

from official public data in 2 different spatial scopes, to answer:

Can OSM be used to collect exposure&vulnerability data for DRM?




Hazard layer (case study 1)

.shp describing the floods occurred on 26 September 2007 in Mestre (VE).

Vector dataset produced by an emergency structure and downloaded from its website.




Hazard layer (case study 2)

.shp describing the floods occurred on 1 November 2010 in Vicenza (VI).

Vector dataset downloaded from the official website of the Municipality of Vicenza.




Can OSM be used to collect exposure&vulnerability data for DRM?

We compared the results obtained by InaSAFE when using as input the exposure data obtained from OpenStreetMap and

from official public data in 2 different spatial scopes, to answer:




Exposure layers (for both case studies)

Open community data Official public data

OpenStreetMap downloaded on municipal base from a web service http://osm-toolserver-italia.wmflabs.org/estratti/it/comuni/

CTRN – Carta Tecnica Regionale Numerica downloaded in vector at 1:5000 scale from http://idt.regione.veneto.it/app/metacatalog/

http://osm-toolserver-italia.wmflabs.org/estratti/it/comuni/







http://idt.regione.veneto.it/app/metacatalog/

http://idt.regione.veneto.it/app/metacatalog/




1. geometry selection 2. ‘not building’ entities removal 3. clip to the flood extent 4. addition of a field and tags reclassification

1. geometry selection 2. shp search/selection 3. tiles merge 4. ‘not building’ entities removal 5. clip to the flood extent 6. addition of a field and tags reclassification

1. Data processing needs

OpenStreetMap Carta Tecnica Reg. Num.








2. Updating








2. Updating

3. Spatial consistency








2. Updating


4. Attributes consistency

Uneven and unsystematic tag’s richness

Homogeneus tags without much information








2. Updating


4. Attributes consistency






InaSAFE outputs: LAYERS


InaSAFE output layer case study 1: flooded buildings in Mestre (2007)




InaSAFE outputs: LAYERS


InaSAFE output layer case study 2: flooded buildings in Vicenza (2010)




InaSAFE outputs: STATISTICS







Bell tower Church Civil building Collapsed Farm auxiliary Hospital Hut Industrial Monument Roof School Silo Sport facility Train station Underconstruction …others

… + Commercial Court house

Cultural heritage Fire station

Hotel Mall

Police station Public building

Residential Restaurant

Supermarket Theatre

Townhall University

…others






… + COMMERCIAL

COURT HOUSE CULTURAL HERITAGE

FIRE STATION HOTEL MALL

POLICE STATION PUBLIC BUILDING

RESIDENTIAL RESTAURANT

SUPERMARKET THEATRE

TOWNHALL UNIVERSITY

…others

Bell tower Church CIVIL BUILDING Collapsed Farm auxiliary HOSPITAL Hut INDUSTRIAL Monument Roof SCHOOL Silo Sport facility Train station Underconstruction …others
















Total buildings 42.769 Buildings flooded 13.492 % flooded 32%


MESTRE 2007 Flood

VICENZA 2010 Flood



comparable percentages in both urban scopes








MESTRE 2007 Flood

VICENZA 2010 Flood



comparable percentages in both urban scopes in VE Openstreetmap detects more buildings than the CTRN,

in VI the opposite happens




OSM can be used to collect exposure&vulnerability data for DRM!

- easier to be retrieved and processed

- latest

- higher spatial consistency

- great potential (still to explore) in:

data granularity and richness









- easier to be retrieved and processed

- latest

- higher spatial consistency

- great potential (still to explore) in:

data granularity and richness

citizens involvement in data collection

(also to improve their risk awareness)





What to look for in order to improve the evaluation of flood risk in a city?




Open official data is a strategic choice!

Accurate Up-to-date

Reusable & integrable information



THANKS!!!

RICCARDO PASI IUAV PhD student in 'New Technologies for the City and the Environment’

[email protected]

mailto:[email protected]

Documents

Open Community Data & Official Public Data in flood risk management