Extraction of Plant Physiological Status from Hyperspectral Signatures Using 
Machine Learning Methods

Doktor, Daniel; Lausch, Angela; Spengler, D.; Thurner, Martin

doi:10.3390/rs61212247

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Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods

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Doktor, Daniel
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Lausch, Angela
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Spengler, D.
1.4 Remote Sensing, 1.0 Geodesy and Remote Sensing, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Thurner, Martin
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Doktor, D., Lausch, A., Spengler, D., Thurner, M. (2014): Extraction of Plant Physiological Status from Hyperspectral Signatures Using Machine Learning Methods. - Remote Sensing, 6, 12, 12247-12274.
https://doi.org/10.3390/rs61212247

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_752892

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