14/02/2022 to 18/02/2022
USD 800, KES 65,000
Disaster risk information is spatial in nature and Geographic Information Systems (GIS) play an important role in disaster risk management. Rapid population growth and urbanization combined with extreme climatic events are causing a rapid increase in vulnerability of communities exposed to hazardous events. Natural disasters inflict severe damage on almost the entire spectrum of social and natural habitats, ranging from housing and shelter, water, food, health, sanitation, and waste management to information and communication networks, supply of power and energy, and transportation infrastructure. There is a great need to utilize disaster risk information in planning for effective coping mechanisms of disaster risk reduction. For this, there is a significant need to create awareness among the disaster management professionals regarding the importance of GIS and Remote Sensing. This course is job oriented and aims to impact practical skills on how to use GIS and RS ,to overcome the major challenges faced in ,pre-disasters during disaster and post-disaster management such as during early warning, hazard, vulnerability and risk assessment, damage assessment, as well as in the design of risk reduction measures.
Upon completion of the course, the participants will be able to:
GIS data sources, data collection and integration techniques for DRM
Hazard, vulnerability and Risk assessment with GIS and RS (Pre-Disaster)
Application of Risk Information for Risk Reduction Planning (Pre-Disaster)
Introduction to Early warning systems and Information Networks (Pre-Disaster)
Disaster Impact Analysis (Post Disaster)
Public Participatory GIS and Disaster Risk Management (Pre and Post Disaster)
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: firstname.lastname@example.org
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
Accommodation is arranged upon request. For reservations contact us through Mobile: +254732776700
or Email: email@example.com
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: firstname.lastname@example.org
• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
14/02/2022 to 18/02/2022
USD 800 , KES 65,000