DIPECHO-SEA. Arnaud RAULIN Project manager
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1 DIPECHO-SEA «Providing Geographical Information Systems (GIS) technical support for Disaster Risk Reduction programs implemented by DIPECHO partners in the South East African and South West Indian Ocean region» Arnaud RAULIN Project manager United Nations International Conference on Space-based Technologies for Disaster Risk Management: "Best Practices for Risk Reduction and Rapid Response Mapping" Beijing, China November 2011
2 GI4DRR Fundings Implementation 15 partners in 4 countries Malawi Madagascar Mozambique Comoros UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
3 GI4DRR Principal objective To contribute to support the DIPECHO partners and beneficiaries in the practical application of GIS tools to address disaster preparedness and response planning challenges faced by local institutions, authorities and communities. Specific objectives Creation of a common GIS based dialogue among regional DIPECHO partners that support disaster preparedness activities through: 1) the promotion of existing GIS DRR support agencies and mechanisms; 2) the creation of a regional multi-lingual DRR database; 3) the development of improved hazard and vulnerability mapping UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
4 1) Promotion of GIS/DRR support agencies and international mechanisms Antananarivo 12/11/2010 Seminars Lilongwe, 16/11/2010 objectives Maputo 15/04/2011 To provide a general introduction to GIS and space-based information for DRR; To describe existing international mechanisms; To explain the role of UN-SPIDER and its cooperation and coordination with these mechanisms. Results 150 participants from ministries, national institutions, NGOs, donors and UN Started the identification of a UN-Spider focal point in each country UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
5 2) Regional multi-lingual DRR database Objectives To improve DRR related knowledge about areas supported by DIPECHO partners, by: Providing a thematic data set; Facilitating data exchange; Promoting data collection. Approach In collaboration with partners, definition of DRR data sets related to 5 thematics: Early warning system; Capacity building; Infrastructures; Wash-sanitation; Food security. UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
6 2) Regional multi-lingual DRR database C++ / Windows Linux compatible Local database Data visualization: Vector background and tree tables Data query: geographic query by pointing Data entry and editing : through editing interface by pointing and entering Through XML files import UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
7 2) Regional multi-lingual DRR database Online database Linux / Apache Webserver / MySQL database Data visualization : Googlemap background and tables. Data query: drop down menus Country / NGO / Activity type Data entry and editing : Online through restricted area Using E-tablets with Android application Open Data Kit (ODK) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
8 3) Objectives To promote the use of Geographic Information among DIPECHO partners, by: Promoting the use of Participatory GIS (PGIS) (Kienberger, 2010); Exploring possibilities offered by Geographic Information to solve problems met by partners Salima 30/11 to 4/12/2010 Training sessions Sambava 13 to 17/12/2010 Nampula 18 to 22/04/ 2011 About 60 participants from 12 DIPECHO partners Introduction to GI concepts and its application to DRR Definition of a pilot project with each NGO Field missions Implementation of the pilot projects in the area of intervention of the DIPECHO partners UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
9 3.1) Participatory GIS Definition Participatory mapping based on a satellite image PGIS is a participatory mapping method facilitating the integration of local knowledge and perceptions in geographic information systems in order to improve decision making in the context of Disaster Risk Reduction. Methodology Image acquisition: Very High Resolution images (Quickbird, GeoEye, Worldvision) or medium resolution images (LandSat 5 and LandSat 7) Pre-processing: Layer stacking, Pansharpening, Printings PGIS session with local communities or local authorities, who represent on the satellite image areas where hazards occur Digitizing and layout creation UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
10 3.1) Participatory GIS PGIS at community level 8 NGO in 3 countries - 9 maps produced Fokontany Amboanafo, Commune rurale de Mahatsara-Sud, district de Mananjary, Madagascar, 05/07/2011 UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
11 3.1) Participatory GIS PGIS at district level 4 NGOs in 2 countries - 6 maps produced Mossuril District, Mozambique, 26/04/2011 UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
12 3.1) Participatory GIS Community level District level Images (Very) High Resolution Medium resolution Area Small Large Cost Expensive Free Participant comprehension Fast Longer Technical skills High Medium Sharpness High Medium Uses according to needs Activity design Project design Chronological approach = Overview at district level and close-up at community level UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
13 3.1) Participatory GIS PGIS vs classical participatory mapping Both To collect data at a scale often not existing in national institutions To transmit a harmonized vision and a common perception of the area from the participants to the investigators; To create a dialogue on issues not necessarily discussed outside of the session time. Pros Faster Sharper (no distortion) More complete / less omissions Different and fun Cons Could be expensive Technically complicated for some steps Constraint to reality lowering the collection of information related to perception UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
14 3.2) Innovative approaches GIS/DRR Objectives Exploring possibilities offered by Geographic Information to solve problems met by partners Approaches Data acquisition / Management Data analysis Communication UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
15 3.2) Innovative approaches GIS/DRR Data acquisition / Management To provide data or manage existing data for the partners Km² of high resolution images - SPOT 5 - provided for free by Planet action UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
16 3.2) Innovative approaches GIS/DRR Data acquisition / Management To provide data or manage existing data for the partners Km² of high resolution images - SPOT 5 - provided for free by Planet action km² of high resolution TerraSAR-X DEM over Grande Comore provided by EADS / ASTRIUM UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
17 3.2) Innovative approaches GIS/DRR Data acquisition / Management To provide data or manage existing data for the partners Km² of high resolution images - SPOT 5 - provided for free by Planet action km² of high resolution TerraSAR-X DEM over Grande Comore provided by EADS / ASTRIUM UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
18 3.2) Innovative approaches GIS/DRR Data acquisition / Management To provide data or manage existing data for the partners Km² of high resolution images - SPOT 5 - provided for free by Planet action km² of high resolution TerraSAR-X DEM over Grande Comore provided by EADS / ASTRIUM Existing Data Management: Organization (geodatabase), Improvement (topology) update (field collection) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
19 3.2) Innovative approaches GIS/DRR Data analysis To perform data analysis to facilitate partners tasks Updated topographic maps and Hazard mapping in Chinde district (Mozambique) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
20 3.2) Innovative approaches GIS/DRR Data analysis To perform data analysis to facilitate partners tasks Updated topographic maps and Hazard mapping in Chinde district (Mozambique) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
21 3.2) Innovative approaches GIS/DRR Data analysis To perform data analysis to facilitate partners tasks Updated topographic maps and Hazard mapping in Chinde district (Mozambique) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
22 3.2) Innovative approaches GIS/DRR Data analysis To perform data analysis to facilitate partners tasks Updated topographic maps and Hazard mapping in Chinde district (Mozambique) Identification of suitable areas for agriculture, Ilha do Moçambique district (Mozambique) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
23 3.2) Innovative approaches GIS/DRR Data analysis To perform data analysis to facilitate partners tasks Updated topographic maps and Hazard mapping in Chinde district (Mozambique) Identification of suitable areas for agriculture, Ilha do Moçambique district (Mozambique) UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
24 3.2) Innovative approaches GIS/DRR Communication To test innovative communication technology in real conditions Tablet SAMSUNG GALAXY GT-P1000 Operating System Android 2.2 (FroYo) ODK Collect apk ( Field activities monitoring (Madagascar and Malawi) Live data transmission through GPRS network UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
25 GI4DRR Strong participation: institutions, on the field, data providers. High needs and strong interest from the field To conclude Dipecho 3 Technical challenge Need for scientific validation Data sharing issues Moving from «making for» to «making with» Open issues Targeting the planning within the communities through the integration of maps as planning instruments Integration of participatory maps within NSDI an open issue UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
26 Thank you GI4DRR COOPI Arnaud Raulin Regional Project Manager - Madagascar gis@coopi.org Alexandre Castellano Regional Advisor / Country Coordinator - Malawi castellano@coopi.org Paola Fava IT officer - Italy innovation_malawi@coopi.org Jean Eric Andriambahiny IT officer - Madagascar ajeric@moov.mg Z_GIS Pr Peter Zeil Senior Project Officer peter.zeil@sbg.ac.at Dr Stefan Kienberger Researcher / Project Manager stefan.kienberger@sbg.ac.at UN SPIDER David Stevens Programme Coordinator UNSPIDER david.stevens@unoosa.org UNSPIDER Best Practices for Risk Reduction and Rapid Response Mapping Beijing, China 2011/11/ /26
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