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Dead wood is an important habitat characteristic in forests. However, dead wood lying on the ground below a canopy is difficult to\uddetect from remotely sensed data. Data from airborne laser scanning include measurement of surfaces below the canopy, thus\udoffering the potential to model objects on the ground. This paper describes a new line template matching algorithm for detecting\udlines along the ground. The line template matching is done directly to the laser point cloud and results in a raster showing the\udsupport of the line in each raster cell. Line elements are vectorized based on the raster to represent lying tree stems. The results have\udbeen validated versus field-measured lying tree stems. The number of detected lines was 845, of which 268 could be automatically\udlinked to the 651 field-measured stems. The line template matching produced a raster which visually showed linear elements in areas\udwhere lying tree stems where present, but the result is difficult to compare with the field measurements due to positioning errors. The\udstudy area contained big piles of storm-felled trees in some places, which made it an unusually complex test site. Longer line\udstructures such as ditches and roads also resulted in detected lines and further analysis is needed to avoid this, for example by\udspecifically detecting longer lines and removing them

Detection of lying tree stems from airborne laser scanning data using a line template matching algorithm