National forest mapping of stem volume using TanDEM-X

Konferenz: EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar
04.06.2018 - 07.06.2018 in Aachen, Germany

Tagungsband: EUSAR 2018

Seiten: 3Sprache: EnglischTyp: PDF

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Persson, Henrik; Fransson, Johan E.S. (Swedish University of Agricultural Sciences, Sweden)
Soja, Maciej J. (Horizon Geoscience Consulting and University of Tasmania, Australia)
Ulander, Lars (Chalmers University of Technology, Sweden)

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 and Euclidian distance to the reference data.