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Conference paper, 2016

Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images

Fransson, Johan E. S.; Santoro, Maurizio; Wallerman, Jorgen; Persson, Henrik J.; Monteith, Albert R.; Eriksson, Leif E. B.; Nilsson, Mats; Olsson, Hakan; Soja, Maciej J.; Ulander, Lars M. H.

Abstract

A first evaluation of ALOS-2 PALSAR-2 data for forest stem volume estimation has been performed at a coniferous dominated test site in southern Sweden. Both the Fine Beam Dual (FBD) polarization and the Quad-polarimetric mode were investigated. Forest plots with stem volume reaching up to a maximum of about 620 m(3) ha(-1) (corresponding to 370 tons ha(-1)) were analyzed by relating backscatter intensity to field data using an exponential model derived from the Water Cloud Model. The estimation accuracy of stem volume at plot level (0.5 ha) was calculated in terms of Root Mean Square Error (RMSE). For the best case investigated an RMSE of 39.8% was obtained using one of the FBD HV-polarized images. The corresponding RMSE for the FBD HH-polarized images was 43.9%. In the Quad-polarimetric mode the lowest RMSE at HV-and HH-polarization was found to be 43.1% and 66.1%, respectively.

Keywords

Synthetic Aperture Radar; forestry; above-ground biomass

Published in

IEEE International Geoscience and Remote Sensing Symposium proceedings
2016, pages: 5327-5330
Book title: 2016 IEEE International Geoscience & Remote Sensing Symposium : proceedings
ISBN: 9781509033324, eISBN: 978-1-5090-3332-4
Publisher: IEEE

Conference


36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 10-15, 2016, Beijing, PEOPLES R CHINA

Authors' information

Fransson, Johan
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Santoro, Maurizio
Gamma Remote Sensing
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Monteith, Albert R.
Chalmers University of Technology
Eriksson, Leif E B
Chalmers University of Technology
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Swedish University of Agricultural Sciences, Department of Forest Resource Management
Soja, Maciej
Chalmers University of Technology
Ulander, Lars M.H.
Chalmers University of Technology

Associated SLU-program

Remningstorp

UKÄ Subject classification

Remote Sensing

Publication Identifiers

DOI: https://doi.org/10.1109/IGARSS.2016.7730388

URI (permanent link to this page)

https://res.slu.se/id/publ/73808