Ursula Marschalk

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A Area B eff Effective baseline C Covariance matrix c Class D Weighting coefficient matrix h Elevation height I Intensity K Number of classes or input channels M Number of images MSC Mean square change N Number of pixels N stand Number of stands n δ Window size (total number of pixels) p 0 Overall accuracy (percentage of correctly classified polygons) p e(More)
(SIBERIA) and NASDA's JERS initiative " Global Boreal Forest Mapping ". The satellite data were received by a mobile receiving station of the German Remote Sensing Data Center of DLR (DFD) at Ulaanbaatar, Mongolia. We wish to thank the other members of the SIBERIA team for their contributions to the project, namely ABSTRACT Russia's boreal forests host 11%(More)
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