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• W2187717268 abstract "The amount of available sunlight in vegetated areas is an important factor influencing species composition, plant morphology and natural succession. It is therefore a significant parameter in forestry, ecology and other sciences dealing with biodiversity relevant studies. Research indicates a strong correlation between the quality and quantity of sunlight and the vegetation structure, both in horizontal and vertical direction. Due to the high complexity and variability of the canopy architecture, continuous area-wide data collection of light conditions in the understorey is needed for accurate modelling of light transmission. However, conventional ground based measurement methods are pointwise and time consuming, therefore not feasible for data acquisition of large areas. The ability of small-footprint airborne laser scanning (ALS) to penetrate small canopy gaps makes this remote sensing method especially suitable for vegetation studies. Geometric information of the vegetation structure can be derived directly from the 3D point cloud. This allows for modelling of the distribution of sunlight-absorbing or intercepting parts of the foliage, which consequently cast shadows on the surrounding understorey vegetation or the ground. Light transmission through the canopy can therefore be described in a very direct way by employing this 3D structural information. In this paper a methodology for modelling light conditions in forests using ALS data is proposed. The approach is based on a modified version of photogrammetric monoplotting. The parallel sun rays from variable sun positions act as projection rays being traced through the 3D point cloud (i.e. laser echoes) that represents the canopy. A defined size is assigned to each individual laser echo which casts a shadow of the respective size and shape. Shadowed areas are then derived by intersecting these projection rays with a digital terrain model and by rasterizing the projected point cloud. By employing ALS data from different acquisition times (leaf-on and leaf-off) the influence of vegetation phenology is explored. The derived shadow raster maps describe where a shadow is cast and how many intercepting parts of the canopy contribute to it. Consequently, these maps provide an excelent input for modelling the amount of available sunlight in vegetated areas, considering canopy gaps in arbitrary directions and also the seasonal variability of vegetation. The first results show that ALS is a time- and cost- efficient means for area-wide analysis of sunlight condition for forest floors, as well as for different understorey layers." @default.
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• W2187717268 date "2011-01-01" @default.
• W2187717268 modified "2023-09-28" @default.
• W2187717268 title "Modelling light conditions in forests using airborne laser scanning data" @default.
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