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This project focuses on developing indicators and estimation procedures for forests that provide protection against natural hazards in the Alpine region. The project utilizes various data sources, including national forest inventory data, thematic data, digital terrain models, Landsat imagery, LiDAR, and digital aerial photography.
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Development of Harmonised Indicators and Estimation Procedures for Forests with Protective Functions against • Natural Hazards in the • Alpine Space • Basic Data
Overview on data used: • NFI data/models • Thematic data • Digital terrain model • Landsat imagery • LiDAR • Digital aerial photography
NFI data: • From four alpine countries • Austria • Switzerland • Slovenia • Germany
NFI data: • Forest Mapping • Forest/Nonforest • Protective effect estimation • Volume/ha • Stems/ha • Basal area/ha • DBH • Tree height
NFI models: • Protective effect estimation • Crown coverage • Basal area • BHD
NFI models: • Basal area G/ha = 0.7819 * V0.6719 G/ha = basal area, V = Volume/ha (m3/ha)
NFI models: • DBH DBH = -129.574 + 1,7114 * HnDSM + 8.8813 * HDTM DBH = Breast Height Diameter in cm HnDSM = height from the nDSM in dm HDTM = height from the DTM in hm
NFI models: • Crown coverage TCC = 0.236 - 0.1461 * HDTM -0.1227 * Hm + 4.0624*log(V) TCC = total crown cover Hm = Mean tree height (m) HDTM = height from the DTM (hectometres) V = Volume/ha (m3/ha) The coniferous crown cover (CCC) is then estimated by multiplying TCC with the volume fraction of coniferous trees.
Thematic data: • Hazard potential • Rock mask • Snow cover regions • Damage potential • Infrastructure
Digital terrain model (1): • Forest mapping • Radiometric correction • kNN (vertical search radius) • Hazard potential • Altitude • Slope • Planar curvature • Damage potential • Infrastructure
Digital terrain model (2): • Forest with protective function • Watershed function • 8D Avalanche model • Forest with protective effect • Forested slope length • Altitude
Landsat imagery: • 4 Scenes • 1999 - 2001 • Coarse scale • Forest mapping • Forest protective effect estimation
LiDAR data: • Fine scale • Paznauntal • 2006, 30 km2 • no raw data • DTM Resolution 1m • CHM Resolution 1m • Engadin • 2003, 300 km2 • no raw data • DTM Resolution 2,5m • CHM Resolution 2,5m
Digital aerial photography: • Fine scale • Paznauntal • 2006, 30 km2 • Ultracam Vexcel • Resolution 0,5m • RGB/FIR • Engadin • 2005, 300 km2 • ADS40 1st Generation • Resolution 0,5m • RGB