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Extracting dendrometric parameters of urban trees using remotely sensed data for quantifying their ecological services in Valls Hage, Sweden
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Computer and Geospatial Sciences, Geospatial Sciences.
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Sustainable development
The essay/thesis is partially on sustainable development according to the University's criteria
Place, publisher, year, edition, pages
2023. , p. vii+75+appendixes
Keywords [en]
Dendrometry, ALS, Watershed delineation, Ecological services, CHM, i-Tree Eco
National Category
Remote Sensing
Identifiers
URN: urn:nbn:se:hig:diva-43195OAI: oai:DiVA.org:hig-43195DiVA, id: diva2:1808288
Subject / course
Geospatial information science
Educational program
Master Programme in Geospatial Information Science
Presentation
2023-08-23, 11316, Kungsbäcksvägen 47, Gävle, 14:00 (English)
Supervisors
Examiners
Projects
BiGAvailable from: 2023-10-31 Created: 2023-10-30 Last updated: 2023-10-31Bibliographically approved

Open Access in DiVA

Thesis_P.G.C.C.Fonseka(2555 kB)96 downloads
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File name FULLTEXT01.pdfFile size 2555 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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