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

Fransson, Johan E.S. and Santoro, Maurizio and Wallerman, Jörgen and Persson, Henrik and Monteith, Albert R. and Eriksson, Leif E B and Nilsson, Mats and Olsson, Håkan and Soja, Maciej J. and Ulander, Lars M.H. (2016). Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images. I/In: IGARSS 2016 Symposium, Advancing the understanding of our living planet, 10-15 July, Beijing, China.
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Official URL: https://doi.org/10.1109/IGARSS.2016.7730388

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 m3 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 43.1% was obtained using one of the FBD HV-polarized images. The corresponding RMSE for the FBD HH-polarized images was 43.9%. In the Quadpolarimetric mode the lowest RMSE at HV- and HHpolarization was found to be 39.8% and 47.4%, respectively.

Authors/Creators:Fransson, Johan E.S. and Santoro, Maurizio and Wallerman, Jörgen and Persson, Henrik and Monteith, Albert R. and Eriksson, Leif E B and Nilsson, Mats and Olsson, Håkan and Soja, Maciej J. and Ulander, Lars M.H.
Title:Estimation of forest stem volume using ALOS-2 PALSAR-2 satellite images.
Year of publishing :2016
Page range:5327-5330
Number of Pages:4
Place of Publication:New Jersey
Publisher:IEEE / Institute of Electrical and Electronics Engineers Incorporated
ISBN for printed version:9781509033324
Language:English
Publication Type:Conference Paper (Paper)
Refereed:Yes
Article category:Other scientific
Version:Accepted version
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Keywords:forestry, biomass, Root Mean Square Error (RMSE), stem volumes, satellite imagery, Synthetic Aperture Radar
URN:NBN:urn:nbn:se:slu:epsilon-e-3886
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3886
ID Code:13962
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: SLUpub Connector
Deposited On:19 Jan 2017 09:47
Metadata Last Modified:19 Jan 2017 09:47

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