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Department of Electrical Engineering

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Electrical Engineering
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Estebanez, Camarena Monica
Advisor dc:contributor.advisor
  • Martinez, Peter

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/29881
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/29881

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Estebanez, Camarena Monica. PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat. Department of Electrical Engineering, 2018. http://hdl.handle.net/11427/29881