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 Protective effect estimation Forest/Nonforest 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 Damage 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 Coarse scale 1999 - 2001 Forest mapping Forest protective effect estimation
LiDAR data: Fine scale Paznauntal Engadin 2006, 30 km2 no raw data DTM Resolution 1m CHM Resolution 1m Engadin 2003, 300 km2 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 RGB
Coarse scale RS mapping approach Fine scale RS mapping approach Subsystem Statistical approach Coarse scale RS mapping approach Fine scale RS mapping approach Hazard Hazard potential Forest mask (kNN), DTM Forest mask (LiDAR), DTM Avalanche Rock mask, DTM Forest mask (kNN), Rock mask, DTM Forest mask (LiDAR), Rock mask, DTM Rockfall Damage potential DTM, Infrastructure DTM, Rock mask, Infrastructure Forest protective effect NFI data NFI data + Parameter layer (Landsat) Parameter layer (LiDAR + digital aerial photo) - Output Statistical estimates of protective effect Maps of protective effect