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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Autoren:
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)
Inhalt:
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.