Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy. - Martin Danner; Katja Berger; Matthias Wocher; Wolfram Mauser; Tobias Hank (Remote. Sens., 2017)

Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops. - Katja Berger; Zhihui Wang; Martin Danner; Matthias Wocher; Wolfram Mauser; Tobias Hank (IGARSS, 2018)

Developing a Sandbox Environment for Prosail, Suitable for Education and Research. - Martin Danner; Matthias Wocher; Katja Berger; Wolfram Mauser; Tobias Hank (IGARSS, 2018)

Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law. - Matthias Wocher; Katja Berger; Martin Danner; Wolfram Mauser; Tobias Hank (IGARSS, 2018)

Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study. - Katja Berger; Clement Atzberger; Martin Danner; Guido D'Urso; Wolfram Mauser; Francesco Vuolo; Tobias Hank (Remote. Sens., 2018)

Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model. - Katja Berger; Clement Atzberger; Martin Danner; Matthias Wocher; Wolfram Mauser; Tobias Hank (Remote. Sens., 2018)

Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data. - Matthias Wocher; Katja Berger; Martin Danner; Wolfram Mauser; Tobias Hank (Remote. Sens., 2018)

Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies. - Martin Danner; Katja Berger; Matthias Wocher; Wolfram Mauser; Tobias Hank (Remote. Sens., 2019)

Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. - Katja Berger; Jochem Verrelst; Jean-Baptiste Féret; Tobias Hank; Matthias Wocher; Wolfram Mauser; Gustau Camps-Valls (Int. J. Appl. Earth Obs. Geoinformation, 2020)

RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits. - Matthias Wocher; Katja Berger; Martin Danner; Wolfram Mauser; Tobias Hank (Int. J. Appl. Earth Obs. Geoinformation, 2020)

Towards Quantifying Non-Photosynthetic Vegetation for Agriculture Using Spaceborne Imaging Spectroscopy. - Katja Berger; Andrej Halabuk; Jochem Verrelst; Matej Mojses; Katarina Gerhátová; Giulia Tagliabue; Matthias Wocher; Tobias Hank (IGARSS, 2021)

Introducing the Potential of the EnMAP-Box for Agricultural Applications Using Desis and Prisma Data. - Tobias Hank; Katja Berger; Matthias Wocher; Martin Danner; Wolfram Mauser (IGARSS, 2021)

Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation. - Jochem Verrelst; Charlotte De Grave; Eatidal Amin; Pablo Reyes; Miguel Morata; Enrique Portales; Santiago Belda; Giulia Tagliabue; Cinzia Panigada; Mirco Boschetti; Gabriele Candiani; Karl Segl; et al. (IGARSS, 2021)

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms. - Jochem Verrelst; Katja Berger; Juan Pablo Rivera Caicedo (IEEE Geosci. Remote. Sens. Lett., 2021)

A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. - Katja Berger; Juan Pablo Rivera Caicedo; Luca Martino; Matthias Wocher; Tobias Hank; Jochem Verrelst (Remote. Sens., 2021)

Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery. - Katja Berger; Tobias Hank; Andrej Halabuk; Juan Pablo Rivera Caicedo; Matthias Wocher; Matej Mojses; Katarina Gerhátová; Giulia Tagliabue; Miguel Morata; Ana Belen Pascual Venteo; Jochem Verrelst (Remote. Sens., 2021)

Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow. - José Estévez; Katja Berger; Jorge Vicent 001; Juan Pablo Rivera Caicedo; Matthias Wocher; Jochem Verrelst (Remote. Sens., 2021)

Remote and Proximal Assessment of Plant Traits. - Ittai Herrmann; Katja Berger (Remote. Sens., 2021)

Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models. - Gopal Ramdas Mahajan; Bappa Das; Dayesh Murgaokar; Ittai Herrmann; Katja Berger; Rabi N. Sahoo; Kiran Patel; Ashwini Desai; Shaiesh Morajkar; Rahul M. Kulkarni (Remote. Sens., 2021)

Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning. - Veronika Döpper; Alby D. Rocha; Katja Berger; Tobias Gränzig; Jochem Verrelst; Birgit Kleinschmit; Michael Förster (Int. J. Appl. Earth Obs. Geoinformation, 2022)

Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery. - Gabriel Caballero; Alejandro Pezzola; Cristina Winschel; Alejandra Casella; Paolo Sanchez Angonova; Juan Pablo Rivera Caicedo; Katja Berger; Jochem Verrelst; Jesús Delegido (Remote. Sens., 2022)

Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles. - Gabriel Caballero; Alejandro Pezzola; Cristina Winschel; Alejandra Casella; Paolo Sanchez Angonova; Luciano Orden; Katja Berger; Jochem Verrelst; Jesús Delegido (Remote. Sens., 2022)

Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine. - Pablo Reyes-Muñoz; Luca Pipia; Matías Salinero-Delgado; Santiago Belda; Katja Berger; José Estévez; Miguel Morata; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2022)

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression. - Matías Salinero-Delgado; José Estévez; Luca Pipia; Santiago Belda; Katja Berger; Vanessa Paredes Gómez; Jochem Verrelst (Remote. Sens., 2022)

Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data. - Ana Belen Pascual Venteo; Enrique Portales; Katja Berger; Giulia Tagliabue; Jose L. Garcia; Adrián Pérez-Suay; Juan Pablo Rivera Caicedo; Jochem Verrelst (Remote. Sens., 2022)

Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes. - Gabriel Caballero; Alejandro Pezzola; Cristina Winschel; Paolo Sanchez Angonova; Alejandra Casella; Luciano Orden; Matías Salinero-Delgado; Pablo Reyes-Muñoz; Katja Berger; Jesús Delegido; Jochem Verrelst (Remote. Sens., 2023)

Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine. - Dávid D. Kovács; Pablo Reyes-Muñoz; Matías Salinero-Delgado; Viktor Ixion Mészáros; Katja Berger; Jochem Verrelst (Remote. Sens., 2023)

Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method. - Dávid D. Kovács; Eatidal Amin; Katja Berger; Pablo Reyes-Muñoz; Jochem Verrelst (Remote. Sens., 2023)

Estimating canopy nitrogen content by coupling PROSAIL-PRO with a nitrogen allocation model. - Dong Li 003; Yapeng Wu; Katja Berger; Qianliang Kuang; Wei Feng; Jing M. Chen; Wenhui Wang; Hengbiao Zheng; Xia Yao; Yan Zhu 005; Weixing Cao; Tao Cheng 003 (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression. - Dávid D. Kovács; Pablo Reyes-Muñoz; Katja Berger; Viktor Ixion Mészáros; Gabriel Caballero; Jochem Verrelst (Ecol. Informatics, 2024)

Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery. - Ana Belen Pascual Venteo; Jose L. Garcia; Katja Berger; José Estévez; Jorge Vicent 001; Adrián Pérez-Suay; Shari Van Wittenberghe; Jochem Verrelst (Remote. Sens., 2024)

Evaluation and improvement of Copernicus HR-VPP product for crop phenology monitoring. - Egor Prikaziuk; Cláudio F. Silva; Gerbrand Koren; Zhanzhang Cai; Katja Berger; Santiago Belda; Lukas Valentin Graf; Enrico Tomelleri; Jochem Verrelst; Joel Segarra; Dessislava Ganeva (Comput. Electron. Agric., 2025)