Hat mitgewirkt an:
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Remote Sensing Based Crop Classification of Maize Improving Model Robustness in State-of-the-Art Machine Learning Models
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Field Geometry and the Spatial and Temporal Generalization of Crop Classification Algorithms - A randomized Approach to compare Pixel based and Convolution based Methods
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Remote sensing based binary classification of Maize. Dealing with residual autocorrelation in sparse sample situations
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Implications of Bioenergy Cropping for Soil: RemoteSensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction