Martin Danner
Orcid: 0000-0001-8911-9064
According to our database1,
Martin Danner
authored at least 13 papers
between 2015 and 2021.
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Bibliography
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
2020
RTM-based dynamic absorption integrals for the retrieval of biochemical vegetation traits.
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
Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study.
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
2015
Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model.
Remote. Sens., 2015
Systematic analysis of the LUT-based inversion of PROSAIL using full range hyperspectral data for the retrieval of leaf area index in view of the future EnMAP mission.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Analyzing uncertainties in simulated canopy reflectance through exhaustive comparison with in-situ measured optical properties.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015