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Remote Sensing Of Forest Damage In The Czech Republic Using Hyperspectral Methods, Petya K. Entcheva
Remote Sensing Of Forest Damage In The Czech Republic Using Hyperspectral Methods, Petya K. Entcheva
Doctoral Dissertations
The current study assesses the potential of hyperspectral data for monitoring the initial stages of damage in Norway spruce forests characterized by subtle changes in foliar chlorophyll and chemistry. Both field and airborne high spectral resolution reflectance measurements were obtained for selected study sites in the Krusne hory, Czech Republic.
High spectral resolution airborne canopy data and field foliar samples were acquired simultaneously in August 1998 for a total of 51 study sites within the Krusne hory. The sites were selected to represent a full range of damage conditions in even-aged Norway spruce (Picea abies (L.) Karst) stands located between …