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)
— Radar interferometry is a well-established technology for the generation of digital elevation models (DEM). Several satellites with SAR-sensors on board have been launched during the last 10 years, which provide interferometric datasets for this purpose. One of them is the ENVISAT ASAR, a repeat pass interferometric system with a repeat cycle of 35 days.(More)
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