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Estimation of forest parameters using CARABAS-II VHFSAR data
Swedish Univ Agr Sci, Dept FOrest Resource Management & Geomat, S-90183 Umea, Sweden Swedish Univ Agr Sci, Ctr Image Anal, Uppsala, Sweden Swedish Def Res Estab, Div Sensor Technol, Linkoping, Sweden.
Swedish Univ Agr Sci, Dept FOrest Resource Management & Geomat, S-90183 Umea, Sweden Swedish Univ Agr Sci, Ctr Image Anal, Uppsala, Sweden Swedish Def Res Estab, Div Sensor Technol, Linkoping, Sweden.
Swedish Univ Agr Sci, Dept FOrest Resource Management & Geomat, S-90183 Umea, Sweden Swedish Univ Agr Sci, Ctr Image Anal, Uppsala, Sweden Swedish Def Res Estab, Div Sensor Technol, Linkoping, Sweden.
2000 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 38, no 2, 720-727 p.Article in journal (Refereed) Published
Abstract [en]

The use of airborne CARABAS-II VHF (20-90 MHz) SAR data for retrieval of forest parameters has been investigated, The investigation was performed at a test site located in the southwest: of Sweden consisting mainly of Norway spruce forests. Regression models predicting forest parameters from radar backscattering amplitude were developed and evaluated. The results showed a linear relationship between backscattering amplitude and forest stem volume, stem diameter, and tree height. The analysis also showed that the radar signal is strongly affected by ground slope conditions. The root mean square errors from the regression analysis, restricted to forest stands on near-horizontal ground, were found to be 66 m(3) ha(-1), 3.2 cm, and 2.3 m for stem volume, stem diameter, and tree height respectively. No saturation of the backscattered signal was observed up to the maximum stem volume of 625 m(3) ha(-1), corresponding to a biomass of 375 tons ha(-1). The results imply that VHF SAR data have significant potential for operational use in forestry.

Place, publisher, year, edition, pages
2000. Vol. 38, no 2, 720-727 p.
Keyword [en]
CARABAS, SAR, VHF, forest parameter estimation
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-49784OAI: oai:DiVA.org:liu-49784DiVA: diva2:270680
Available from: 2009-10-11 Created: 2009-10-11 Last updated: 2017-12-12

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
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Output format
  • html
  • text
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