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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

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 22 Jul 2014 Austria Publisher:MDPI AGJournal:Forests, volume 5, pages 1,753-1,776 (eissn: 1999-4907,

Authors: Christian Hüttich; Mikhail Korets; Sergey Bartalev; Vasily Zharko; Dmitry Schepaschenko; Anatoly Shvidenko; Christiane Schmullius;

doi: 10.3390/f5071753

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

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Abstract

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SAR-based GSV estimates helped to detect inconsistencies in the forest inventory data and can support an update of outdated forest inventory stands.

Country

Austria

Related Organizations

Sukachev Institute of Forest
Russian Federation
Friedrich Schiller University Jena
Germany
Space Research Institute
Russian Federation
International Institute for Applied Systems Analysis (IIASA) - International Institute for Applied System Analysis (IIASA)
International Institute for Applied Systems Analysis
Austria

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Keywords

570, 550, biomass, ENVISAT ASAR, boreal forest management, ALOS PALSAR, forest inventory; biomass; ALOS PALSAR; ENVISAT ASAR; land cover fragmentation; Siberia; boreal forest management, 333, land cover fragmentation, Siberia, forest inventory, QK900-989, Plant ecology

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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%