Assessment of hyperspectral data analysis methods to classify tree species

One of the most challenging issues in forest inventory based on remote sensing data is identification of tree species. Hyperspectral remote sensing data provides information which considerably facilitates tree species recognition. The objective of the research is to evaluate different hyperspectral...

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Hauptverfasser:	Priedītis, G., Latvia Univ. of Agriculture, Jelgava (Latvia), Smits, I., Latvia Univ. of Agriculture, Jelgava (Latvia), Dagis, S., Latvia Univ. of Agriculture, Jelgava (Latvia), Paura, L., Latvia Univ. of Agriculture, Jelgava (Latvia), Krumins, J., Latvia Univ. of Agriculture, Jelgava (Latvia), Dubrovskis, D., Latvia Univ. of Agriculture, Jelgava (Latvia)
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	ANALISIS DISCRIMINANTE ANALISIS ESPECTRAL ANALYSE DISCRIMINANTE ANALYSE SPECTRALE ARBOLES FORESTALES ARBRE FORESTIER BETULA PENDULA DETERMINATION DES ESPECES DETERMINATION OF SPECIES DISCRIMINANT ANALYSIS FOREST INVENTORIES FOREST TREES INVENTAIRE FORESTIER INVENTARIOS FORESTALES LATVIA LETONIA LETTONIE PICEA ABIES PINUS SYLVESTRIS REMOTE SENSING SPECTRAL ANALYSIS TELEDETECCION TELEDETECTION
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