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Katja Berger
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2020 – today
- 2024
- [j24]Dávid D. Kovács, Pablo Reyes-Muñoz, Katja Berger, Viktor Ixion Mészáros, Gabriel Caballero, Jochem Verrelst:
Multi-decadal temporal reconstruction of Sentinel-3 OLCI-based vegetation products with multi-output Gaussian process regression. Ecol. Informatics 83: 102816 (2024) - [j23]Ana Belen Pascual Venteo
, Jose L. Garcia, Katja Berger
Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery. Remote. Sens. 16(7): 1211 (2024) - 2023
- [j22]Gabriel Caballero
Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes. Remote. Sens. 15(7): 1822 (2023) - [j21]Dávid D. Kovács
Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine. Remote. Sens. 15(13): 3404 (2023) - [j20]Dávid D. Kovács
Untangling the Causal Links between Satellite Vegetation Products and Environmental Drivers on a Global Scale by the Granger Causality Method. Remote. Sens. 15(20): 4956 (2023) - 2022
- [j19]Veronika Döpper, Alby D. Rocha
Estimating soil moisture content under grassland with hyperspectral data using radiative transfer modelling and machine learning. Int. J. Appl. Earth Obs. Geoinformation 110: 102817 (2022) - [j18]Matías Salinero-Delgado
Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression. Remote. Sens. 14(1): 146 (2022) - [j17]Pablo Reyes-Muñoz
Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine. Remote. Sens. 14(6): 1347 (2022) - [j16]Ana Belen Pascual Venteo
Prototyping Crop Traits Retrieval Models for CHIME: Dimensionality Reduction Strategies Applied to PRISMA Data. Remote. Sens. 14(10): 2448 (2022) - [j15]Gabriel Caballero
Seasonal Mapping of Irrigated Winter Wheat Traits in Argentina with a Hybrid Retrieval Workflow Using Sentinel-2 Imagery. Remote. Sens. 14(18): 4531 (2022) - [j14]Gabriel Caballero
Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles. Remote. Sens. 14(22): 5867 (2022) - 2021
- [j13]Jochem Verrelst
Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms. IEEE Geosci. Remote. Sens. Lett. 18(12): 2038-2042 (2021) - [j12]Katja Berger
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. Remote. Sens. 13(2): 287 (2021) - [j11]Gopal Ramdas Mahajan, Bappa Das
Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models. Remote. Sens. 13(4): 641 (2021) - [j10]José Estévez
Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow. Remote. Sens. 13(8): 1589 (2021) - [j9]Ittai Herrmann
Remote and Proximal Assessment of Plant Traits. Remote. Sens. 13(10): 1893 (2021) - [j8]Katja Berger
Assessing Non-Photosynthetic Cropland Biomass from Spaceborne Hyperspectral Imagery. Remote. Sens. 13(22): 4711 (2021) - [c6]Tobias Hank, Katja Berger, Matthias Wocher, Martin Danner, Wolfram Mauser:
Introducing the Potential of the EnMAP-Box for Agricultural Applications Using Desis and Prisma Data. IGARSS 2021: 467-470 - [c5]Katja Berger, Andrej Halabuk
Towards Quantifying Non-Photosynthetic Vegetation for Agriculture Using Spaceborne Imaging Spectroscopy. IGARSS 2021: 5822-5825 - [c4]Jochem Verrelst, Charlotte De Grave, Eatidal Amin, Pablo Reyes, Miguel Morata, Enrique Portales, Santiago Belda
Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation. IGARSS 2021: 7678-7681 - 2020
- [j7]Katja Berger, Jochem Verrelst, Jean-Baptiste Féret
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. Int. J. Appl. Earth Obs. Geoinformation 92: 102174 (2020) - [j6]Matthias Wocher, Katja Berger, Martin Danner, Wolfram Mauser, Tobias Hank
RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits. Int. J. Appl. Earth Obs. Geoinformation 93: 102219 (2020) - [i1]Katja Berger, Jochem Verrelst, Jean-Baptiste Féret
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method. CoRR abs/2012.05043 (2020)
2010 – 2019
- 2019
- [j5]Martin Danner
Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies. Remote. Sens. 11(10): 1150 (2019) - 2018
- [j4]Katja Berger
Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study. Remote. Sens. 10(1): 85 (2018) - [j3]Matthias Wocher
Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data. Remote. Sens. 10(12): 1924 (2018) - [j2]Katja Berger
Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model. Remote. Sens. 10(12): 2063 (2018) - [c3]Martin Danner, Matthias Wocher, Katja Berger
Developing a Sandbox Environment for Prosail, Suitable for Education and Research. IGARSS 2018: 783-786 - [c2]Katja Berger
Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops. IGARSS 2018: 3801-3804 - [c1]Matthias Wocher, Katja Berger
Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law. IGARSS 2018: 3805-3808 - 2017
- [j1]Martin Danner
Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy. Remote. Sens. 9(7): 726 (2017)
Coauthor Index
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