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Matthias Wocher
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2020 – today
- 2024
- [c7]Stefanie Steinhauser, Matthias Wocher, Andrej Halabuk, Svetlana Kosánová, Tobias Hank:
Introducing the Potential of the New Enmap-Box Hybrid Retrieval Workflow for Quantifying Non-Photosynthetic Vegetation. IGARSS 2024: 4073-4076 - 2021
- [j9]Katja Berger
, Juan Pablo Rivera Caicedo
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data. Remote. Sens. 13(2): 287 (2021) - [j8]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) - [j7]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
- [j6]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) - [j5]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
- [j4]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
- [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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