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UK - Department for Business, Energy and Industrial Strategy

07 Clyde Space FireSat - Call 1

Disclaimer: The data for this page has been produced from IATI data published by UK - Department for Business, Energy and Industrial Strategy. Please contact them (Show Email Address) if you have any questions about their data.

Project Data Last Updated: 25/09/2019

IATI Identifier: GB-GOV-13-GCRF-UKSA_ZA_UKSA-034


This FireSat pilot programme will demonstrate the ability of nanosatellite technology to deliver enhanced fire detection data to be implemented into the existing Advanced Fire Information System (AFIS) developed by the CSIR, as well as provide capacity building for future skills, technology and applications development. Africa is often referred to as the ‘Fire Continent’ and accounts for 70% of the total global wildfires and over 50% of the total area burned in the last two decades1. These fire incidents are causing significant social, economic and environmental losses. Lloyd’s insurance market estimates that the impact to the South African economy alone is approximately £225 million due to wild fires over the past 5-7 years. The FireSat demonstrator mission will see delivery of a space-based EO nanosatellite platform to detect wildfires in Africa. The FireSat payload is developed by the CSIR and provides a method of detecting smaller fires (90 m2) more effectively. This data will be implemented into AFIS, which is the data-delivery mechanism for this project. Products such as monthly burned area estimates as well as daily and weekly fire danger forecasts are produced and disseminated to fire management teams who can respond quickly to extinguish the fire.


Using nanosatellite technology to improve fire detecction rates and build human capacity in Africa

Status - Implementation More information about project status
Project Spend More information about project funding
Participating Organisation(s) More information about implementing organisation(s)

Sectors groups as a percentage of country budgets according to the Development Assistance Committee's classifications.


A comparison of forecast spend and the total amount of money spent on the project to date.