Change search
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
Analysis of laser and image data for forestry applications: methods of forest stand delineation
2007 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

A new technology era requires new methods. In forestry management the use of stands as convenient compartments of trees are widely spread. These contiguous units of trees of, for example, uniform species composition, height distribution and age are traditionally obtained by delineation of aerial images and further estimations on the characteristics with assistance from field studies. Data acquired from Airborne Laser Scanning systems gives the opportunity to extract each and every visible tree in the canopy. These individual trees are object for automatically grouping into similar clusters as the traditional stands. The aim for this work was to study methods applicable for forest stand delineation. Laser data and Aerial photography as well as results from previously developed analysis methods of Laser data are available in the progress of development of method for stand delineation. This work has resulted in the development and testing of a raster-based clustering method. The data are first processed with an unsupervised ISODATA classifier creating a rough segmentation. Finally, the segments are merged in an agglomerative manner, ie. the best possible pairs of segments are merged first, in all according to intra-cluster variances. The results shows the potential of this clustering method, but in order to create ready-to-use forest stands, more research and development are essential for the whole process.

Place, publisher, year, edition, pages
2007.
Keyword [en]
Technology, Airborne Laser Scanning, Forest stand delineation, Clustering
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-43824ISRN: LTU-EX--07/274--SELocal ID: 1a6b62f0-c785-4c5c-bded-ca3ada076a76OAI: oai:DiVA.org:ltu-43824DiVA: diva2:1017066
Subject / course
Student thesis, at least 30 credits
Educational program
Space Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

Open Access in DiVA

fulltext(4098 kB)27 downloads
File information
File name FULLTEXT01.pdfFile size 4098 kBChecksum SHA-512
e080a8b80dac8674fbfef7436e40d6c8fffe48e16971f47819a0f56318655ac3bcf5b610add33623042f8ba91107513230a3a421f5d0eddfdc26d43485dc5578
Type fulltextMimetype application/pdf

Search outside of DiVA

GoogleGoogle Scholar
Total: 27 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 51 hits
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