Assessing forest gap dynamics using remotely sensed digital height models and GIS
نویسنده
چکیده
Canopy gaps play an essential role in continuous cover forests, as they have a strong effect on regeneration dynamics and species composition. However, canopy gaps have been widely neglected in current monitoring and planning practices, which might be caused by the fact that mapping of canopy gaps from the ground is labour-intensive, tedious, and error prone. An approach to automated canopy gap delineation based solely on canopy height information was developed and evaluated within a Geographic Information System. Remote sensing can provide the required data enabling surveys of canopy gaps over large areas. Digital height models of sufficient resolution can be derived from laser scanning (LiDAR) or softcopy photogrammetry using digitized CIR imagery and digital terrain models. These techniques provide very accurate height models for large areas with a minimum of human interaction. Based on the digital height models not only the number, size and distribution of gaps were analyzed but also other ecological parameters describing the morphology of the canopy surface. Data taken at for dates facilitate to study the dynamics of canopy gaps and canopy morphology, which has not been possible on a large scale so far. _______________________________________________________________________
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