National forest mapping of stem volume using TanDEM-X
Paper in proceedings, 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.

Optical radar

Synthetic aperture radar

forest inventory

Author

H. Persson

Swedish University of Agricultural Sciences (SLU)

Maciej Soja

University of Tasmania

Lars Ulander

Chalmers, Space, Earth and Environment, Microwave and Optical Remote Sensing

J.E.S. Fransson

Swedish University of Agricultural Sciences (SLU)

Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR

2197-4403 (ISSN)

Vol. 2018-June 52-54

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

Subject Categories

Agricultural Science

Forest Science

Environmental Sciences

More information

Latest update

1/10/2019