Title :
Boreal forest biomass classification with TanDEM-X
Author :
Caicoya, Astor Toraño ; Kugler, Florian ; Hajnsek, Irena ; Papathanassiou, Kostas
Author_Institution :
German Aerosp. Center (DLR), Wessling, Germany
Abstract :
High spatial resolution X-band interferometric SAR data from the TanDEM-X, in the operational DEM generation mode, are sensitive to forest structure and can therefore be used for thematic boreal forest classification of forest environments. The interferometric coherence in absence of temporal decorrelation depends strongly on forest height and structure. Due to the rather homogenous structure of boreal forest, forest biomass can be derived from forest height, on the basis of allometric equations with sufficient accuracy to be used for thematic classification applications. Two test sites in mid- and southern Sweden are investigated. A maximum of 4 biomass classes, up to 250 Mg/ha, are achieved. Larger spatial baselines result in better classification performances.
Keywords :
digital elevation models; forestry; geophysical image processing; image classification; image resolution; radar imaging; radar interferometry; remote sensing by radar; synthetic aperture radar; vegetation mapping; High spatial resolution X-band interferometric SAR data; TanDEM-X; allometric equations; boreal forest biomass classification; boreal forest homogenous structure; forest biomass homogenous structure; forest environments; forest height; forest structure; interferometric coherence; operational DEM generation mode; southern Sweden; temporal decorrelation; thematic boreal forest classification; Accuracy; Biomass; Coherence; Decorrelation; Estimation; Laser radar; Synthetic aperture radar; Biomass; RVoG; TanDEM-X; boreal forest;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6350681