Remote Sensing of Foliar Mass and Chlorophyll as Indicators of Forest Health: Preliminary Results from a Project in Norway
نویسندگان
چکیده
Variations in foliar mass and chlorophyll concentration are likely to reflect temporal variation in forest health well, by capturing both defoliation and discoloration symptoms. Canopy chlorophyll mass is the product of foliar mass and chlorophyll concentration. In the current project, we try to model these two variables using airborne LiDAR and hyper-spectral data, respectively. On ground we have data on foliar mass and chlorophyll concentrations from 16 sample plots dominated by Norway spruce (Picea abies). Based on the models, we use the airborne data to scale up estimates for both variables to a larger forest area. Up-scaled estimates are correlated to satellite data. The results are preliminary
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