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MULTITEMPORAL HYPERSPECTRAL DATA ANALYSIS FOR REGIONAL DETECTION OF PLANT STRESS BY USING AN AIRBORNE-AND TRACTOR-BASED SPECTROMETER–CASE STUDY: SUGAR BEET DISEASE RHIZOCTONIA SOLANI
Sugar Beet Hyperspectral Remote Sensing GIS Vegetation Indices OSAVI Multitemporal Classification
2015/8/10
Every year sugar beet diseases cause lower sugar beet yields and qualities compared to the average. For that reason, high resolution field and airborne hyperspectral data is used to recognize a fungal...