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Training Course on GIS and Remote Sensing in Disaster Risk Management and Climate Change

By: Datastat Research Center

Kenya

22 - 26 Nov, 2021  5 days

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USD 900

Venue: Data stat Research Center and Virtual

Other Dates

Venue Date Fee  
Data stat Research Center and Virtual, Kenya 13 - 17 Dec, 2021 USD900

Training on Geographic Information Systems (GIS) and Remote Sensing in Disaster Risk Management and Climate change is an important course that will help in the management of disaster. Most of the disasters and hazardous events are because of extreme climatic conditions and increased urban population growth.

These disasters cause a lot of suffering among the societies which affects the shelter, food, and causes various disease infections. It is for these reasons that training on disaster management is important. Disaster management information equips people with skills that will help in times of disaster events. Training on Geographic Information Systems (GIS) and Remote Sensing in Disaster Risk Management and Climate change is job oriented and thus the trainee will have a chance to secure employment in disaster risk management in the ministry of environment.

Duration

5 days

Targeted Audience

The course will be meant for those professionals who are in need to either further or acquire skills on the application of GIS and RS in their organization in the field of disaster management. The trainees from variety of organization are invited for training e.g. Institutions of physical planning, professionals and private GIS and RS related firms.

Learning objectives

And the end of training the participants will be able to:

  • Describe and utilize spatial data, GIS and remote sensing in disaster in management.
  • Apply GIS/remote sensing in hazard, vulnerability and risk assessment.

Course Content

Module I

Basic information

  • Basic GIS and RS concepts and terminologies in the context of disaster management.
  • International and Regional Guidance: Protocols and action plans
  • Introduction to spatial information
  • Exercise I: Handling spatial information I:(Using Quantum GIS Software).

GIS data sources, data collection and integration techniques for DRM

  • Data sources for DRM.
  • Satellite image data sources for DRM.
  • Task I: GPS /mobile phone GPS for HV field GIS data collection using ODK.
  • Activity: GPS/mobile Course Tour.
  • Exercise II: Handling spatial information II: GPS, GIS Integration using QGIS.
  • Group discussions: How can GIS and RS be used for identification of geographic areas affected by each natural hazard.

Module II

Hazard, vulnerability and Risk assessment with GIS and RS (Pre-Disaster)

  • Types and methods of risk assessment, risk evaluation, cost-benefit analysis.
  • Task II: Gentle Refresher of Microsoft Excel.
  • Task III: Spatial data preparation and GIS integration techniques in Microsoft Excel
  • Use of GIS in disaster preparedness planning.
  • Task IV: Elements at risk, hazard and vulnerability assessment using GIS.
  • Task V: GIS Multi criteria analysis in vulnerability assessment.
  • Group discussion: How can GIS and RS be used to map existing buildings, infrastructure, land use and critical facilities located in potential hazard areas.

Module III

Application of Risk Information for Risk Reduction Planning (Pre-Disaster)

  • Task VI: Visualization of risk information (Using QGIS/ILWIS/SAGA Software).
  • Task VII: Risk mapping and database generation using Excel/QGIS and SAGA
  • Task VIII: Disaster monitoring: satellite image processing techniques for change detection
  • Exercise III: Creating a personal geodatabase for GIS emergency support manpower with personnel location information, contact information, and specialized skills.
  • Exercise IV: Creating a risk map
  • Group discussion: Use of GIS and RS in identification of the extent and magnitude of each hazard.

Module IV

Introduction to Early warning systems and Information Networks (Pre-Disaster)

  • Early warning systems and Information Networks for major hazards.
  • Group discussion: How can GIS and RS be used in a Drought Early Warning System

Disaster Impact Analysis (Post Disaster)

  • The use of satellite imagery for disaster relief and recovery.
  • Activity: Visit to a satellite data receiving and processing station depending on location of training and availability of time.
  • Group discussion: How can satellite images and aerial photos be used to locate refugee and internally displaced persons?

Module V

Public Participatory GIS and Disaster Risk Management (Pre and Post Disaster)

  • Participatory GIS as a tool for DRM mapping.
  • Task IX: Using Google Maps and Google Earth in DRM.
  • Exercise VI: SMS to Map for community crisis mapping - Using Ushahidi.
  • Group discussion: What GIS and RS tools are suitable for mapping of urban (social) hazards such as crime zones, drug corners, and accident black spots

Methodology

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web-based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

Key Notes

  • The participant must be conversant with English.
  • Upon completion of training the participant will be issued with an Authorized Training Certificate
  • Course duration is flexible and the contents can be modified to fit any number of days.
  • The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate upon successful completion of Training.
  • One-year post-training support Consultation and Coaching provided after the course.
  • Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.
Data stat Research Center and Virtual Nov 22 - 26 Nov, 2021
Data stat Research Center and Virtual, Kenya 13 - 17 Dec, 2021
USD 900.00
(Convert Currency)

Sammy +254 724527104

Deal
Data Stat Research

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