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انسجام معلوماتی وپروگرام ماین پاکی. iMMAP. Information Management for Disaster Risk Reduction. Because Information Matters به خاطرکه به اطلاعات اهمیت می دهیم. Peppino S Disperati Senior Information Management Officer. iMMAP – . VISION

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انسجام معلوماتی وپروگرام ماین پاکی


Information Management for Disaster Risk Reduction

Because Information Matters

به خاطرکه به اطلاعات اهمیت می دهیم

Peppino S Disperati

Senior Information Management Officer




To be a leading international resource for relief, development and host government agencies in humanitarian information management and supporting services.


iMMAP’smission is to alleviate the pain and suffering of those in need. iMMAP accomplishes this mission by providing decision makers at all levels with reliable, relevant and timely information upon which to act.

  • Humanitarian Information Management
  • Lebanon, Iraq, Afghanistan, Horn of Africa, Liberia, Tanzania, Laos, Thailand, Sudan, Nicaragua, Sri Lanka, Indonesia, Myanmar, Colombia, Haiti, Ethiopia, Pakistan;


Kosovo, Chad, Thailand, Afghanistan, Vietnam, Iraq, Lebanon, Liberia, Armenia, Democratic Republic of Congo, Georgia, Myanmar, Haiti, Pakistan;


Survey and Assessment, Quality Assurance, IMSMA, HIM.

Present work in Afghanistan




Security Incidents

Education IM

Bilateral support



DRR: approach and activities





Flood analysis

Common Operating Picture

RAF database and maps



Base maps



Disaster data interoperability

ERM hazard maps can contribute to the creation of a Common Operating Picture for Disasters Risk Reduction

Overall hazards reported in ERM hazard maps

Data collected by ERM help to bridge the distance between risk scenarios obtained by hazard models and real disaster events

Match between flood data in ERM match NATO Flood model

Breakdown of ERM flood hazards

March between hazard data in ERM and IOM reports

ERM Flood hazards match at 70% with another flood data source on flood risk (eg NATO Flood Model)


Identification of disaster-prone areas

Information provided with the ERM hazard maps fills existing gaps on contingency plans to identify disasters-prone areas

1,066 records on community-based disasters for the seven provinces targeted

  • Information on hazards can be overlaid on:
  • Landcover
  • Rivers
  • Settlements
  • DEM / Slopes
  • Health infrastructures
  • Education infrastructures
  • Roads network
  • Security incidents
  • Population

High accuracy of settlements selected validated with high resolution satellite imagery


Identification of disaster-prone areas

Intensively irrigated cultivated land

Rainfed cultivated land

Intensively irrigated cultivated land

Rainfed cultivated land

Intensively irrigated cultivated land

Rainfed cultivated land


Indicators of community resilience to disasters

ERM targets village/communty level which is a fundamental indicator ofcommunity-based resilience

The data structure of the ERM allows the combination of disaster-related data with single settlement and with most used community coping mechanisms


iMMAP Activities on Disaster IM

Common Operating Picture

for Disaster Risk Reduction and Resilience

  • Provincial Atlas with high resolution satellite imageries
  • Disaster data
  • Population:
    • CSO
    • Landscan
    • Estimates of population at risk
  • Livelihoods
    • Landcover
    • Estimates of livelihoods at risk

Problems and challenges faced in DRR projects

  • Information life cycle:
  • Data standardization and interoperability
  • Data collection
  • Information dissemination
  • Information usage

Solutions used to solve natural disaster risks

  • Develop country level risk scenarios and simulation
  • Participative mapping
  • Training for data collection, gps use
  • OASIS for database, synchronization and sharing

Special or unique experience

Networking, campaigning

Information Management Expertise

Unique tool for database, sharing and synchronization

Information Management applied to DRR with a cross-cutting approach to Food Security, IDPs, Education, Health and Nutrition

Capacity building for data collection, data entry, database consolidation


Thank you !

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