A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Towards Automated Characterization of Canopy Layering in Mixed Temperate Forests Using Airborne Laser Scanning
Canopy layers form essential structural components, affecting stand productivity and wildlife habitats. Airborne laser scanning (ALS) provides horizontal and vertical information on canopy structure simultaneously. Existing approaches to assess canopy layering often require prior information about stand characteristics or rely on pre-defined height thresholds. We developed a multi-scale method using ALS data with point densities >10 pts/m2 to determine the number and vertical extent of canopy layers (canopylayer, canopylength), seasonal variations in the topmost canopy layer (canopytype), as well as small-scale heterogeneities in the canopy (canopyheterogeneity). We first tested and developed the method on a small forest patch (800 ha) and afterwards tested transferability and robustness of the method on a larger patch (180,000 ha). We validated the approach using an extensive set of ground data, achieving overall accuracies >77% for canopytype and canopyheterogeneity, and >62% for canopylayer and canopylength. We conclude that our method provides a robust characterization of canopy layering supporting automated canopy structure monitoring.
Towards Automated Characterization of Canopy Layering in Mixed Temperate Forests Using Airborne Laser Scanning
Canopy layers form essential structural components, affecting stand productivity and wildlife habitats. Airborne laser scanning (ALS) provides horizontal and vertical information on canopy structure simultaneously. Existing approaches to assess canopy layering often require prior information about stand characteristics or rely on pre-defined height thresholds. We developed a multi-scale method using ALS data with point densities >10 pts/m2 to determine the number and vertical extent of canopy layers (canopylayer, canopylength), seasonal variations in the topmost canopy layer (canopytype), as well as small-scale heterogeneities in the canopy (canopyheterogeneity). We first tested and developed the method on a small forest patch (800 ha) and afterwards tested transferability and robustness of the method on a larger patch (180,000 ha). We validated the approach using an extensive set of ground data, achieving overall accuracies >77% for canopytype and canopyheterogeneity, and >62% for canopylayer and canopylength. We conclude that our method provides a robust characterization of canopy layering supporting automated canopy structure monitoring.
Towards Automated Characterization of Canopy Layering in Mixed Temperate Forests Using Airborne Laser Scanning
Reik Leiterer (author) / Hossein Torabzadeh (author) / Reinhard Furrer (author) / Michael E. Schaepman (author) / Felix Morsdorf (author)
2015
Article (Journal)
Electronic Resource
Unknown
Metadata by DOAJ is licensed under CC BY-SA 1.0
Canopy clumping appraisal using terrestrial and airborne laser scanning
| Online Contents | 2015
Estimation of Snow Water Equivalent Distribution Outside Forests Using Airborne Laser Scanning
| British Library Conference Proceedings | 2013