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Exploiting Growing Stock Volume Maps for Large Scale Forest Resource Assessment: Cross-Comparisons of ASAR- and PALSAR-Based GSV Estimates with Forest Inventory in Central Siberia

1
Department for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, 07743 Jena, Germany
2
Sukachev Institute of Forest, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, 660036, Russia
3
Space Research Institute of the Russian Academy of Sciences, Moscow 117997, Russia
4
International Institute for Advanced System Analyses, Laxenburg 2361, Austria
*
Author to whom correspondence should be addressed.
Forests 2014, 5(7), 1753-1776; https://doi.org/10.3390/f5071753
Received: 12 March 2014 / Revised: 24 June 2014 / Accepted: 7 July 2014 / Published: 22 July 2014
Growing stock volume is an important biophysical parameter describing the state and dynamics of the Boreal zone. Validation of growing stock volume (GSV) maps based on satellite remote sensing is challenging due to the lack of consistent ground reference data. The monitoring and assessment of the remote Russian forest resources of Siberia can only be done by integrating remote sensing techniques and interdisciplinary collaboration. In this paper, we assess the information content of GSV estimates in Central Siberian forests obtained at 25 m from ALOS-PALSAR and 1 km from ENVISAT-ASAR backscatter data. The estimates have been cross-compared with respect to forest inventory data showing 34% relative RMSE for the ASAR-based GSV retrievals and 39.4% for the PALSAR-based estimates of GSV. Fragmentation analyses using a MODIS-based land cover dataset revealed an increase of retrieval error with increasing fragmentation of the landscape. Cross-comparisons of multiple SAR-based GSV estimates helped to detect inconsistencies in the forest inventory data and can support an update of outdated forest inventory stands. View Full-Text
Keywords: forest inventory; biomass; ALOS PALSAR; ENVISAT ASAR; land cover fragmentation; Siberia; boreal forest management forest inventory; biomass; ALOS PALSAR; ENVISAT ASAR; land cover fragmentation; Siberia; boreal forest management
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MDPI and ACS Style

Hüttich, C.; Korets, M.; Bartalev, S.; Zharko, V.; Schepaschenko, D.; Shvidenko, A.; Schmullius, C. Exploiting Growing Stock Volume Maps for Large Scale Forest Resource Assessment: Cross-Comparisons of ASAR- and PALSAR-Based GSV Estimates with Forest Inventory in Central Siberia. Forests 2014, 5, 1753-1776. https://doi.org/10.3390/f5071753

AMA Style

Hüttich C, Korets M, Bartalev S, Zharko V, Schepaschenko D, Shvidenko A, Schmullius C. Exploiting Growing Stock Volume Maps for Large Scale Forest Resource Assessment: Cross-Comparisons of ASAR- and PALSAR-Based GSV Estimates with Forest Inventory in Central Siberia. Forests. 2014; 5(7):1753-1776. https://doi.org/10.3390/f5071753

Chicago/Turabian Style

Hüttich, Christian; Korets, Mikhail; Bartalev, Sergey; Zharko, Vasily; Schepaschenko, Dmitry; Shvidenko, Anatoly; Schmullius, Christiane. 2014. "Exploiting Growing Stock Volume Maps for Large Scale Forest Resource Assessment: Cross-Comparisons of ASAR- and PALSAR-Based GSV Estimates with Forest Inventory in Central Siberia" Forests 5, no. 7: 1753-1776. https://doi.org/10.3390/f5071753

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