National forest mapping of stem volume using TanDEM-X
Paper i proceeding, 2018

In this study, we have used a nation-wide collection of 518 TanDEM-X images, an ALS based DTM, and 7-10 m sample plots from the Swedish National Forest Inventory (NFI) in order to create a nation-wide pixel product of stem volume. The overall prediction accuracy was about 24%-25% at the stand-level, depending on the region that was used. However, the accuracy varied spatially depending on weather and forest conditions, and improved predictions can possibly be achieved by using scene-wise models with additional care taken to e.g. temperature.

Synthetic aperture radar

forest inventory

Optical radar


H. Persson

Sveriges lantbruksuniversitet (SLU)

Maciej Soja

University of Tasmania

Lars Ulander

Chalmers, Rymd-, geo- och miljövetenskap, Mikrovågs- och optisk fjärranalys

J.E.S. Fransson

Sveriges lantbruksuniversitet (SLU)

Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

21974403 (ISSN)

Vol. 2018-June 52-54
978-380074636-1 (ISBN)

12th European Conference on Synthetic Aperture Radar, EUSAR 2018
Aachen, Germany,

Forest biomass and biomass change with spaceborne SAR

Rymdstyrelsen (164/16), 2017-01-01 -- 2018-12-31.





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