ID:
technologies-1052
Name:
Machine learning model for peat layer thickness mapping
Technology:
Machine learning, Aerial laser scanning data
Type:
Model
Data used as input:
NFI sample plot data on peat layer thickness, ALS laser scanning data
Produced datasets (openly available):
Raster map of peat layer thickness
Demo (video if available):
Paper (if available):
Mapping peat layer thickness using machine learning and aerial laser scanning data
Paper DOI (if available):
10.5194/egusphere-egu23-17242
Project ID (if available):
101056844
Project Acronym (if available):
ALFAwetlands
Service description:
Maps peat layer thickness in three classes.
