GIS systems in Haiti

Shelter focus

Shelter Meeting 10a, Geneva 27-28 May 2010

Einar Bjorgo

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Unpresedented number of mapping efforts and Geographic Information System (GIS) initiatives

Actors include

CNIGS (Haiti National Mapping Agency)OCHAIOMWFPiMMAPOpenStreetMap MapActionIFRCMINUSTHAUNOSATWorld BankEuropean Commission (EC)the crowdand many MANY more

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2000+ maps published in 75 days

Haiti maps published on GDACS/VirturalOSOCC

Around 500 maps in a week40+ map providing entities

Date

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What makes Haiti so special in this sense?

Data availability (field collected, aerial photos, satellite imagery) Open source and community mapping Use of social media (Twitter, Facebook, wikis) Field presence of GIS staff Integrated in response and recovery Across and withing clusters

Shelter

IDP camp monitoring Baseline data collection Risk mapping Damage assessment Link to reconstruction and development through PDNA

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CNIGS

Heavily affected by earthquake Quickly back to operational capacity Considerable data repository National GIS mandate Field assessments (damage to public infrastructure) in collaboration with UNOSAT Capacity development

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Geospatial Products (Timeframe)

12 Jan. 22 Jan. 26 Feb

Haiti EQ

Situation maps Preliminary DA

UN-EC-WBComprehensive DAand Joint Blds DA

Atlas

18 Feb. 12 Mar.

PDNA

17 Mar.

S. Dom.Conf.

FlashAppeal NY

Conf.

31 Mar.

UNOSAT/JRC/WBcombined GIS database

Field Validation (UNOSAT- CNIGS- JRC)

April

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Available RS data

Through the use of aerial photos provided by the WB, Google and NOAA and satellite imagery from GeoEye and Digitalglobe, detailed damage assessments of individual buildings was conducted by comparing pre‐earthquake satellite imagery to post‐earthquake aerial photos.

Pre-Disaster Sat. Image

Post-Disaster Aerial Photo

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UNOSAT DA Methodology

Training areas within UNOSAT AOI were identified to define suitable damage level classes for RS DA analysis

Assessed buildings through photo interpretation were then categorized into 4 main damage classes according to the European Macroseismic Scale-98 (EMS-98) definition:

GRADE 5: Destruction All or most of building structure collapsed. Here: Collapsed/broken roof, walls destroyed (debris surrounding building)

GRADE 4: Very heavy damagePart of building structure collapsed, such as part of roof or one or more fallen walls. Here: Wall fallen into street (bright debris)

GRADE 3: Substantial to heavy damageLimited damage observed to building, or no damage observed but immediately adjacent to destroyed or very heavily damaged building.

GRADE 1: No visible damageAssessed building does not appear to be damaged. Here: Centre building with brown roof seems intact. No debris or collapsed structure observed.

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Since the beginning IOM support the Task force operation on the debris removal and damage assessment.

Several maps have been provide to define the area of interest and to dispatch civil engineer.

IOM, iMMAP

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DATA Entry Access/SQL database.

20 people involve in data entry

Integrate OSM ID inside database.

Integrate data from the CNIGS

Make on OSM platform to get information quickly and integrate inside our database and make map.

CAMP Registration and decongestion of the Major camps

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Need continuity in term of Imagery accessibility.

The need image in the field don’t stop at the end of charter call.

Last image used is from the 9 march and the previous one is from the 25 of january.

With this imagery we pass in PaP to 460 camps 870 camps base on satellite imagery assessment (OCHA).

CAMP Monitoring System

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Risk mapping over IDP camps

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OSM WikiProject Haiti - snapshot

OSM GPS map extracts used by Search And Rescue Teams – day 1OSM = roads core data set (OCHA Core Data sets check-list).26 hours to get imagery released and 48 hours to get 1st imagery loaded on the OSM platform available for tracing

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World Bank aerial data collection

Generate a preliminary assessment of damage for Haiti using satellite and aerial photography to inform the PDNA process and provide base date for reconstruction efforts.

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Very High Resolution Optical (15cm)

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5 4 3 2 1PORT-AU-PRINCE 1128855 1678626 1455252 915331 6848650Commercial 241488 353964 245076 256776 70044Downtown 78249 84495 66971 70094 19085Industrial 7091 16993 9901 10303 2810Residential high density 400698 577714 566345 360377 3192630Residential low density 157440 227140 302088 164820 1895348Shanty 243889 418321 264871 52962 1668733Grand Total 1128855 1678627 1455252 915332 6848650

Cost in US$ per m2 500 500 300 100 40Total cost (MUS$) 564.4275 839.3135 436.5756 91.5332 273.946

Example of Damage Figures for Port au Prince:• Number of buildings per class• Damages per land use class• Floor area per land use type and damage class allowing a monetary estimation of damages (approx. 2.2 billion US-$ for Port-au-Prince

EC JRC-WB-UNOSAT joint assessment results

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Conclusion

GIS integrated into Haiti relief and recovery

GIS in cluster support•horizontal (same geographic information baseline data across clusters)•vertical (cluster-specific GIS information management)

Large focus is on shelter – use the capacity!

einar.bjorgo@unitar.orgwww.unitar/unosat.org