M. Wocher

Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data

M. Boschetti, J. Verrelst, L. Pipia, 2022, Remote sensing of environment.

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow

Jorge Vicent, Katja Berger, Jochem Verrelst, 2021, Remote. Sens..

Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops

Wolfram Mauser, Katja Berger, Tobias Hank, 2021 .

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data

Katja Berger, Tobias Hank, Jochem Verrelst, 2021, Remote. Sens..

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method pdf

Katja Berger, Tobias Hank, Gustau Camps-Valls, 2020, Int. J. Appl. Earth Obs. Geoinformation.

Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions.

Katja Berger, Tobias Hank, Wolfram Mauser, 2020, Remote sensing of environment.

Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy

Wolfram Mauser, Katja Berger, Tobias Hank, 2017, Remote. Sens..

Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies

Wolfram Mauser, Katja Berger, Tobias Hank, 2019, Remote. Sens..