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Volume 5
Issue 9
10.3390/rs5094503
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Article

Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data

by
Maurizio Santoro
1,*,
Oliver Cartus
2,
Johan E.S. Fransson
3,
Anatoly Shvidenko
4,
Ian McCallum
4,
Ronald J. Hall
5,
André Beaudoin
6,
Christian Beer
7 and
Christiane Schmullius
8
1
Gamma Remote Sensing, Worbstrasse 225, 3073 Gümligen, Switzerland
2
Woods Hole Research Center, Falmouth, MA 02540, USA
3
Department of Forest Resource Management, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden
4
International Institute of Applied Systems Analysis, A-2361 Laxenburg, Austria
5
Northern Forestry Centre, Canadian Forest Service, Natural Resources Canada, Edmonton, AB T6H 3S5, Canada
6
Laurentian Forestry Centre, Canadian Forest Service, Natural Resources Canada, Sainte-Foy, QC G1V 4C7, Canada
7
Department of Applied Environmental Science (ITM) and Bert Bolin Centre for Climate Research, Stockholm University, SE-106 91 Stockholm, Sweden
8
Department of Earth Observation, Friedrich-Schiller University, D-07743 Jena, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2013, 5(9), 4503-4532; https://doi.org/10.3390/rs5094503
Submission received: 25 June 2013 / Revised: 29 August 2013 / Accepted: 5 September 2013 / Published: 12 September 2013
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Abstract

A study was undertaken to assess Envisat Advanced Synthetic Aperture Radar (ASAR) ScanSAR data for quantifying forest growing stock volume (GSV) across three boreal regions with varying forest types, composition, and structure (Sweden, Central Siberia, and Québec). Estimates of GSV were obtained using hyper-temporal observations of the radar backscatter acquired by Envisat ASAR with the BIOMASAR algorithm. In total, 5.3×106 km2 were mapped with a 0.01° pixel size to obtain estimates representative for the year of 2005. Comparing the SAR-based estimates to spatially explicit datasets of GSV, generated from forest field inventory and/or Earth Observation data, revealed similar spatial distributions of GSV. Nonetheless, the weak sensitivity of C-band backscatter to forest structural parameters introduced significant uncertainty to the estimated GSV at full resolution. Further discrepancies were observed in the case of different scales of the ASAR and the reference GSV and in areas of fragmented landscapes. Aggregation to 0.1° and 0.5° was then undertaken to generate coarse scale estimates of GSV. The agreement between ASAR and the reference GSV datasets improved; the relative difference at 0.5° was consistently within a magnitude of 20–30%. The results indicate an improvement of the characterization of forest GSV in the boreal zone with respect to currently available information.
Keywords: SAR backscatter; Envisat ASAR; growing stock volume; boreal forest; Sweden; Siberia; Québec; BIOMASAR algorithm SAR backscatter; Envisat ASAR; growing stock volume; boreal forest; Sweden; Siberia; Québec; BIOMASAR algorithm

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MDPI and ACS Style

Santoro, M.; Cartus, O.; Fransson, J.E.S.; Shvidenko, A.; McCallum, I.; Hall, R.J.; Beaudoin, A.; Beer, C.; Schmullius, C. Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data. Remote Sens. 2013, 5, 4503-4532. https://doi.org/10.3390/rs5094503

AMA Style

Santoro M, Cartus O, Fransson JES, Shvidenko A, McCallum I, Hall RJ, Beaudoin A, Beer C, Schmullius C. Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data. Remote Sensing. 2013; 5(9):4503-4532. https://doi.org/10.3390/rs5094503

Chicago/Turabian Style

Santoro, Maurizio, Oliver Cartus, Johan E.S. Fransson, Anatoly Shvidenko, Ian McCallum, Ronald J. Hall, André Beaudoin, Christian Beer, and Christiane Schmullius. 2013. "Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data" Remote Sensing 5, no. 9: 4503-4532. https://doi.org/10.3390/rs5094503

APA Style

Santoro, M., Cartus, O., Fransson, J. E. S., Shvidenko, A., McCallum, I., Hall, R. J., Beaudoin, A., Beer, C., & Schmullius, C. (2013). Estimates of Forest Growing Stock Volume for Sweden, Central Siberia, and Québec Using Envisat Advanced Synthetic Aperture Radar Backscatter Data. Remote Sensing, 5(9), 4503-4532. https://doi.org/10.3390/rs5094503

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