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Title: Large-scale mapping of boreal forest in SIBERIA using ERS tandem coherence and JERS backscatter data
Authors: Wagner, Wolfgang
Luckman, Adrian
Vietmeier, Jan
Tansey, Kevin
Balzter, Heiko
Schmullius, Christiane
Davidson, Malcolm
Gaveau, David
Gluck, Michael
Le Toan, Thuy
Quegan, Shaun
Shvidenko, Anatoly
Wiesmann, Andreas
Yu, Jiong Jiong
First Published: 15-May-2003
Publisher: Elsevier
Citation: Remote Sensing of Environment, 2003, 85 (2), pp. 125-144
Abstract: Siberia's boreal forests represent an economically and ecologically precious resource, a significant part of which is not monitored on a regular basis. Synthetic aperture radars (SARs), with their sensitivity to forest biomass, offer mapping capabilities that could provide valuable up-to-date information, for example about fire damage or logging activity. The European Commission SIBERIA project had the aim of mapping an area of approximately 1 million km2 in Siberia using SAR data from two satellite sources: the tandem mission of the European Remote Sensing Satellites ERS-1/2 and the Japanese Earth Resource Satellite JERS-1. Mosaics of ERS tandem interferometric coherence and JERS backscattering coefficient show the wealth of information contained in these data but they also show large differences in radar response between neighbouring images. To create one homogeneous forest map, adaptive methods which are able to account for brightness changes due to environmental effects were required. In this paper an adaptive empirical model to determine growing stock volume classes using the ERS tandem coherence and the JERS backscatter data is described. For growing stock volume classes up to 80 m3/ha, accuracies of over 80% are achieved for over a hundred ERS frames at a spatial resolution of 50 m.
DOI Link: 10.1016/S0034-4257(02)00198-0
ISSN: 0034-4257
Type: Article
Rights: This is the author's final draft of the paper published as Remote Sensing of Environment, 2003, 85 (2), pp. 125-144. The final version is available from Doi: 10.1016/S0034-4257(02)00198-0
Appears in Collections:Published Articles, Dept. of Geography

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