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PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat

Forest fires are a pervasive and serious problem. Besides loss of life and extensive environmental damage, fires also result in substantial economic losses, not to mention property damage, injuries, displacements and hardships experienced by the affected citizens. This project proposes a low-cost in...

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Main Author: Estebanez, Camarena Monica
Other Authors: Martinez, Peter
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2019
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access_status_str Open Access
author Estebanez, Camarena Monica
author2 Martinez, Peter
author_browse Estebanez, Camarena Monica
Martinez, Peter
author_facet Martinez, Peter
Estebanez, Camarena Monica
author_sort Estebanez, Camarena Monica
collection Thesis
description Forest fires are a pervasive and serious problem. Besides loss of life and extensive environmental damage, fires also result in substantial economic losses, not to mention property damage, injuries, displacements and hardships experienced by the affected citizens. This project proposes a low-cost intelligent hyperspectral 3U CubeSat for the production of fire risk and burnt area maps. It applies Machine Learning algorithms to autonomously process images and obtain final data products on-board the satellite for direct transmission to users on the ground. Used in combination with other services such as EFFIS or AFIS, the system could considerably reduce the extent and consequences of forest fires.
format Thesis
id oai:open.uct.ac.za:11427/29881
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:45:53.460Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2019
publishDateRange 2019
publishDateSort 2019
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/29881 PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat Estebanez, Camarena Monica Martinez, Peter Engineering Forest fires are a pervasive and serious problem. Besides loss of life and extensive environmental damage, fires also result in substantial economic losses, not to mention property damage, injuries, displacements and hardships experienced by the affected citizens. This project proposes a low-cost intelligent hyperspectral 3U CubeSat for the production of fire risk and burnt area maps. It applies Machine Learning algorithms to autonomously process images and obtain final data products on-board the satellite for direct transmission to users on the ground. Used in combination with other services such as EFFIS or AFIS, the system could considerably reduce the extent and consequences of forest fires. 2019-03-01T09:16:24Z 2019-03-01T09:16:24Z 2018 2019-02-25T08:59:55Z Master Thesis Masters MPhil http://hdl.handle.net/11427/29881 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Engineering
Estebanez, Camarena Monica
PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
thesis_degree_str Master's
title PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
title_full PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
title_fullStr PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
title_full_unstemmed PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
title_short PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat
title_sort pyrsat prevention and response to wild fires with an intelligent earth observation cubesat
topic Engineering
url http://hdl.handle.net/11427/29881
work_keys_str_mv AT estebanezcamarenamonica pyrsatpreventionandresponsetowildfireswithanintelligentearthobservationcubesat