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Airborne remote sensing data from different types of sensors are tested within the Bavarian Forest National Park for estimation of forest attributes using several analysis methodologies. In this study, one algorithm that earlier has been validated for Swedish conditions was applied. The algorithm estimates tree position, tree height, and crown diameter of(More)
The aim of this research is to make identification of tree species of individual trees more efficient through combining high resolution laser data with high resolution near-infrared images. Identification of the classes Scots pine (Pinus silvestris L.), Norway spruce (Picea abies L.), and deciduous trees was chosen because these groups are the most(More)
—In March 2003, a field validation campaign was conducted on the sea ice near Barrow, AK. The goal of this campaign was to produce an extensive dataset of sea ice thickness and snow properties (depth and stratigraphy) against which remote sensing products collected by aircraft and satellite could be compared. (n = 9881 for three areas) with the thinnest(More)
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