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Evaluation of the PROSAIL Model Capabilities for Future Hyperspectral Model Environments: A Review Study.

, , , , , , and . Remote. Sens., 10 (1): 85 (2018)

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Model-Based Optimization of Spectral Sampling for the Retrieval of Crop Variables with the PROSAIL Model., , , , , and . Remote. Sens., 10 (12): 2063 (2018)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., , , and . IGARSS, page 4013-4016. IEEE, (2015)Analyzing uncertainties in simulated canopy reflectance through exhaustive comparison with in-situ measured optical properties., , , and . IGARSS, page 4009-4012. IEEE, (2015)Retrieval of Seasonal Leaf Area Index from Simulated EnMAP Data through Optimized LUT-Based Inversion of the PROSAIL Model., , , and . Remote. Sens., 7 (8): 10321-10346 (2015)Retrieval of Biophysical Crop Variables from Multi-Angular Canopy Spectroscopy., , , , and . Remote. Sens., 9 (7): 726 (2017)Developing a Sandbox Environment for Prosail, Suitable for Education and Research., , , , and . IGARSS, page 783-786. IEEE, (2018)Hyperspectral Retrieval of Canopy Water Content Through Inversion of the Beer-Lambert Law., , , , and . IGARSS, page 3805-3808. IEEE, (2018)Physically-Based Retrieval of Canopy Equivalent Water Thickness Using Hyperspectral Data., , , , and . Remote. Sens., 10 (12): 1924 (2018)Fitted PROSAIL Parameterization of Leaf Inclinations, Water Content and Brown Pigment Content for Winter Wheat and Maize Canopies., , , , and . Remote Sensing, 11 (10): 1150 (2019)Introducing the Potential of the EnMAP-Box for Agricultural Applications Using Desis and Prisma Data., , , , and . IGARSS, page 467-470. IEEE, (2021)