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Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy.

, , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)

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Automated Processing of Sentinel-2 Products for Time-Series Analysis in Grassland Monitoring., , , , and . ISESS, volume 554 of IFIP Advances in Information and Communication Technology, page 48-56. Springer, (2020)Object-Based Image Analysis Applied to Low Altitude Aerial Imagery for Potato Plant Trait Retrieval and Pathogen Detection., , , , and . Sensors, 19 (24): 5477 (2019)Improvement of Clay and Sand Quantification Based on a Novel Approach with a Focus on Multispectral Satellite Images., , , , , , , , and . Remote. Sens., 10 (10): 1555 (2018)Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production., , , , and . Sensors, 17 (6): 1428 (2017)Correction: Domingues Franceschini, M.H.; et al. Intercomparison of Unmanned Aerial Vehicle and Ground-Based Narrow Band Spectrometers Applied to Crop Trait Monitoring in Organic Potato Production. Sensors 2017, 17, 1428., , , , and . Sensors, 17 (10): 2265 (2017)Prediction of soil properties using imaging spectroscopy: Considering fractional vegetation cover to improve accuracy., , , , , and . Int. J. Appl. Earth Obs. Geoinformation, (2015)Feasibility of Unmanned Aerial Vehicle Optical Imagery for Early Detection and Severity Assessment of Late Blight in Potato., , , , and . Remote. Sens., 11 (3): 224 (2019)