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
Computer classification of General Habitat Categories by combining LiDAR and SPOT data
Fjärranalys, SLU Umeå.
Fjärranalys, SLU Umeå.
SLU, Umeå.
Stockholm University, Faculty of Science, Department of Physical Geography and Quaternary Geology (INK).
2010 (English)Conference paper, Published paper (Other academic)
Abstract [en]

General Habitat Categories (GHC) is a classification scheme developed in BioHab1, 2 and a central concept in EBONE3. A characteristic of GHC is plant height, which can be derived using Light Detection And Ranging (LiDAR) data. Computer classification of GHCs might be improved by combining spectral information in optical satellite data with LiDAR. The aim of this pilot study was to investi­gate to which degree airborne LiDAR improves SPOT data based classification of a selection of GHCs in a for­est area in southern Sweden. Lat. 58° 30’ N Long 13° 40’ E. Managed forest with Scots pine (Pinus Sylvestris), Norway spruce (Picea Abies) and birch (Betula spp). A SPOT 5 HRG XS scene. Airborne LiDAR data with an average point density of 26 returns/m2. Photo interpretation of GHCs, 585 sample plots, in aerial DMC images. Combining LiDAR and SPOT data shows promise, considering the restrictions to this study. In a similar study, using the same dataset for classifying CORINE land cover types, overall accuracy increased from 67.1% to 77.6% when add­ing LiDAR data4. This means that there is potential, though the methods need improvement and further tests should include a larger test area providing adequate amounts of sample plots per GHC.

Place, publisher, year, edition, pages
2010.
National Category
Landscape Architecture Agricultural Science
Research subject
Physical Geography
Identifiers
URN: urn:nbn:se:su:diva-50995OAI: oai:DiVA.org:su-50995DiVA: diva2:383575
Conference
International Conference in Landscape Ecology ”Landscape structures, functions and management: response to global ecological change
Projects
EMMA
Note
Poster presentation at International Conference in Landscape Ecology ”Landscape structures, functions and management: response to global ecological change”. Brno/Prag Tjeckien 3-7 September.Available from: 2011-01-05 Created: 2011-01-05 Last updated: 2011-01-19Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Skånes, Helle
By organisation
Department of Physical Geography and Quaternary Geology (INK)
Landscape ArchitectureAgricultural Science

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 335 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