全球智库信息集成服务系统(G2TT): 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.

G2TT

来源类型	Article
规范类型	其他
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.
	Huettich C; Korets M; Bartalev S; Zharko V; Schepaschenko D; Shvidenko A; Schmullius C
发表日期	2014
出处	Forests 5 (7): 1753-1776
出版年	2014
语种	英语
摘要	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SAR-based GSV estimates helped to detect inconsistencies in the forest inventory data and can support an update of outdated forest inventory stands.
主题	Ecosystems Services and Management (ESM)
关键词	Forest inventory Biomass ALOS PALSAR ENVISAT ASAR Land cover fragmentation Siberia Boreal forest management
URL	http://pure.iiasa.ac.at/id/eprint/10889/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/130019
推荐引用方式 GB/T 7714	Huettich C,Korets M,Bartalev S,et al. 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.. 2014.