Early Detection of Wildfires in the European Area with Nano-Satellite Constellations

Bilge Memis, Bengisu Kaplan, Bogac Karabulut, Alim Rustem Aslan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

According to the report published by the Turkish Ministry of Agriculture and Rural Affairs, areas burned by forest and wildland fires reached a record high in 2021. Likewise, the area burned by forest and wildland fires is increased compared to the last ten years' average in Europe in 2022. The total area burned is directly related to the response time to fires. Therefore, it is essential to decrease the fire detection times to decrease the burned land. In the scope of this paper, a satellite constellation-based wildfire detection system is examined. Different constellations with different orbit parameters are considered. Results are evaluated from the point of cost and efficiency. Revisit times for the specified areas are calculated to prove the short fire detection times, better than 10 minutes are possible with the proposed constellation.

Original languageEnglish
Title of host publicationProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350323023
DOIs
Publication statusPublished - 2023
Event10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023 - Istanbul, Turkey
Duration: 7 Jun 20239 Jun 2023

Publication series

NameProceedings of 10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023

Conference

Conference10th International Conference on Recent Advances in Air and Space Technologies, RAST 2023
Country/TerritoryTurkey
CityIstanbul
Period7/06/239/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • constellation
  • cubesat
  • Europe
  • nanosatellite
  • wildfire

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