This thesis investigates the potential of X-band InSAR data for detection and definition of forest structure types in view of sustainable forest management. The applicability of height information derived from interferometric TanDEM-X acquisitions for stem volume estimation was demonstrated. Furthermore, classification of forest structure according to layering and canopy closure was realized using an unsupervised clustering approach. Finally, the impact of phenology on forest structure assessment was explored for coniferous, broadleaf and mixed temperate forest stands.
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This thesis investigates the potential of X-band InSAR data for detection and definition of forest structure types in view of sustainable forest management. The applicability of height information derived from interferometric TanDEM-X acquisitions for stem volume estimation was demonstrated. Furthermore, classification of forest structure according to layering and canopy closure was realized using an unsupervised clustering approach. Finally, the impact of phenology on forest structure assessmen...
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