NDLI: Accuracy Assessment of Stem Volume Retrieval from ERS-1/2 Multitemporal Coherence in Eurasian Boreal Forests

Content Provider	IEEE Xplore Digital Library
Author	Santoro, M. Askne, J.
Copyright Year	2006
Description	Author affiliation: Gamma Remote Sensing AG, Gumligen (Santoro, M.)
Abstract	The sensitivity of the ERS-1/2 tandem coherence to forest biophysical properties is recognized to be sufficient for achieving accurate estimation of stem volume in boreal forest. Nonetheless, depending on environmental conditions and forest stand properties (e.g. size, structure) the retrieval accuracy can change significantly. For this reason methods are required for the identification of forest stands for which high retrieval accuracy can be obtained. From an analysis of multi-temporal coherence datasets at several test sites in Scandinavia and Siberia, we can conclude that optimal conditions for the retrieval are represented by stable winter frozen conditions with an at least moderate breeze. For such conditions, the retrieval accuracy increases if only stands larger than a few hectares and with a certain degree of homogeneity are considered. For such stands, the effective stem volume retrieval error that can be obtained in boreal forests ranges between 15 and 25%.To overcome the necessity of falling back on inventory data to identify such stands, multi-temporal consistency of coherence, of stem volume estimates and stand size can be used as stand selection criteria.
Starting Page	2208
Ending Page	2211
File Size	259370
Page Count	4
File Format	PDF
ISBN	0780395107
DOI	10.1109/IGARSS.2006.571
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-07-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Information retrieval Space technology Volume measurement Remote sensing Radio interferometry Snow Biomass Large-scale systems Coherence
Content Type	Text
Resource Type	Article

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