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Data Analysis of Earth Observation Data from Copernicus Satellites
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2020 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Open Data Cubes are platforms that contain open source satellite data and provide analysis tools for governments or organizations. The Swedish version is known as Swedish Space Data Lab (SSDL) and this master thesis was a part of it, providing the first analysis tools of the SSDL. Within a smaller project in the SSDL a drought analysis was done for the region of Mälardalen. The thesis work consisted on developing data analysis methods using packages for machine learning and statistical analysis in Python and Jupyter Notebooks. The drought analysis consisted of a two-year comparison between 2018 and 2019 due to limitations on the data availability. It was found that first year was drier than the second. However, longer time series would be needed in order to observe trends related to possible changes in the climate.

Place, publisher, year, edition, pages
2020.
National Category
Remote Sensing Other Computer and Information Science
Identifiers
URN: urn:nbn:se:ltu:diva-78105OAI: oai:DiVA.org:ltu-78105DiVA, id: diva2:1415748
External cooperation
RISE
Subject / course
Student thesis, at least 30 credits
Educational program
Space Engineering, master's level (120 credits)
Presentation
2020-02-12, 15:20 (English)
Supervisors
Examiners
Available from: 2020-03-20 Created: 2020-03-19 Last updated: 2020-03-20Bibliographically approved

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fulltext(9949 kB)96 downloads
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf