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

Huettich, C., Korets, M., Bartalev, S., Zharko, V., Schepaschenko, D. ORCID: https://orcid.org/0000-0002-7814-4990, Shvidenko, A., & Schmullius, C. (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 (7) 1753-1776. 10.3390/f5071753.

[thumbnail of forests-05-01753.pdf]
Preview
Text
forests-05-01753.pdf - Published Version
Available under License Creative Commons Attribution.

Download (35MB) | Preview

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 25m from ALOS-PALSAR and 1km 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SAR-based GSV estimates helped to detect inconsistencies in the forest inventory data and can support an update of outdated forest inventory stands.

Item Type: Article
Uncontrolled Keywords: Forest inventory; Biomass; ALOS PALSAR; ENVISAT ASAR; Land cover fragmentation; Siberia; Boreal forest management
Research Programs: Ecosystems Services and Management (ESM)
Bibliographic Reference: Forests; 5(7):1753-1776 (22 July 2014)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:50
Last Modified: 27 Aug 2021 17:24
URI: https://pure.iiasa.ac.at/10889

Actions (login required)

View Item View Item