Persson, Henrik
- Department of Forest Resource Management, Swedish University of Agricultural Sciences
Abstract
This study uses the backscattered intensity information from SAR images acquired with TerraSAR-X to derive Digital Surface Models with radargrammetry. Then the known ground elevation (from airborne lidar) is subtracted to get Canopy Height Models that are analysed and linked through regression analysis to the forest variables above-ground biomass and tree height. It was found, that the used constellation of image pairs and prediction models produced biomass estimations at stand level with 25.9% and 33.8% relative RMSE, while the height estimations were 11.5% and 12.3%. The analyses were tested at the Swedish test sites Krycklan and Remningstorp.
Published in
Esa Sp
2013, volume: 2013, number: SP-722
Publisher: European Space Agency
Conference
Living Planet Symposium
SLU Authors
Fransson, Johan
- Department of Forest Resource Management, Swedish University of Agricultural Sciences
- Department of Forest Resource Management, Swedish University of Agricultural Sciences
Associated SLU-program
Remningstorp
UKÄ Subject classification
Signal Processing
Earth Observation
Forest Science
Publication identifier
- ISBN: 978-92-9221-286-5
Permanent link to this page (URI)
https://res.slu.se/id/publ/52060