Matthias Wocher
Orcid: 0000-0002-7180-2356
According to our database1,
Matthias Wocher
authored at least 15 papers
between 2017 and 2021.
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Bibliography
2021
Top-of-Atmosphere Retrieval of Multiple Crop Traits Using Variational Heteroscedastic Gaussian Processes within a Hybrid Workflow.
Remote. Sens., 2021
Remote. Sens., 2021
A Survey of Active Learning for Quantifying Vegetation Traits from Terrestrial Earth Observation Data.
Remote. Sens., 2021
Prototyping Vegetation Traits Models in the Context of the Hyperspectral Chime Mission Preparation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Introducing the Potential of the EnMAP-Box for Agricultural Applications Using Desis and Prisma Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Towards Quantifying Non-Photosynthetic Vegetation for Agriculture Using Spaceborne Imaging Spectroscopy.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits.
Int. J. Appl. Earth Obs. Geoinformation, 2020
Retrieval of aboveground crop nitrogen content with a hybrid machine learning method.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies.
Remote. Sens., 2019
2018
Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data.
Remote. Sens., 2018
Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model.
Remote. Sens., 2018
Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Simulation of Spaceborne Hyperspectral Remote Sensing to Assist Crop Nitrogen Content Monitoring in Agricultural Crops.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Remote. Sens., 2017