Classification of coniferous tree species and age classes using hyperspectral data and geostatistical methods

Classifications of coniferous forest stands regarding tree species and age classes were performed using hyperspectral remote sensing data (HyMap) of a forest in western Germany. Spectral angle mapper (SAM) and maximum likelihood (ML) classifications were used to classify the images. Classification w...

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Veröffentlicht in:	International journal of remote sensing Jg. 26; H. 24; S. 5453 - 5465
Hauptverfasser:	Buddenbaum, H., Schlerf, M., Hill, J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Abingdon Taylor & Francis 20.12.2005 Taylor and Francis
Schlagworte:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques Internal geophysics Teledetection and vegetation maps Central Europe Germany textures variograms accuracy vegetation trees Stem Hyperspectral imaging sensor imagery maximum likelihood spatial resolution geostatistics Introduced species Forest stand density gymnosperms Europe Plantae remote sensing classification forests airborne methods channels Gray scale Spermatophyta Coniferales age Coniferous forest
ISSN:	0143-1161, 1366-5901
Online-Zugang:	Volltext
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