Mario Gilcher#

Click here to return to Trier University’s Geoinformatics website

2021#

  1. Mario Gilcher and Thomas Udelhoven (2021): Field Geometry and the Spatial and Temporal Generalization of Crop Classification Algorithms—A Randomized Approach to Compare Pixel Based and Convolution Based Methods. Remote Sensing, 13(4), 775. https://doi.org/10.3390/rs13040775, Open Access ✔️.

  2. Thorsten Ruf, Mario Gilcher, Thomas Udelhoven, and Christoph Emmerling (2021): Implications of Bioenergy Cropping for Soil: Remote Sensing Identification of Silage Maize Cultivation and Risk Assessment Concerning Soil Erosion and Compaction. Land, 10(2), 128. https://doi.org/10.3390/land10020128, Open Access ✔️.

2019#

  1. Mario Gilcher, Thorsten Ruf, Christoph Emmerling, and Thomas Udelhoven (2019): Remote sensing based binary classification of maize. Dealing with residual autocorrelation in sparse sample situations. Remote Sensing, 11(18), 2172. https://doi.org/10.3390/rs11182172, Open Access ✔️.