Thorsten Mewes

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In contrast to multispectral remote sensing data, airborne hyperspectral data showed to be highly suitable to identify areas of crop growth anomalies resulted from stress impact (e.g., nitrogen deficiency, fungal infections etc.) within agricultural plots. Resulting stress symptoms are changes in plant-physiology, whose characteristics affect the spectral(More)
The benefits and limitations of crop stress detection by hyperspectral data analysis have been examined in detail. It could thereby be demonstrated that even a differentiation between healthy and fungal infected wheat stands is possible and profits by analyzing entire spectra or specifically selected spectral bands/ranges. For reasons of practicability in(More)
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