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Assessing crop residue cover when scene moisture conditions change.

, and . IGARSS, page 4652-4655. IEEE, (2015)

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Assessing crop residue cover when scene moisture conditions change., and . IGARSS, page 4652-4655. IEEE, (2015)Predicting N Status in Maize with Clip Sensors: Choosing Sensor, Leaf Sampling Point, and Timing., , , , and . Sensors, 19 (18): 3881 (2019)Comparison of Methods for Modeling Fractional Cover Using Simulated Satellite Hyperspectral Imager Spectra., , , , , , , , , and 2 other author(s). Remote. Sens., 11 (18): 2072 (2019)The Vegetation-Climate System Complexity through Recurrence Analysis., , , , and . Entropy, 23 (5): 559 (2021)Atmospheric Correction Assessment and Normalization Procedure for Coupling Sentinel-2 and Worldview-3 Imagery., , , , , and . IGARSS, page 7854-7857. IEEE, (2021)Airborne Hyperspectral Images and Ground-Level Optical Sensors As Assessment Tools for Maize Nitrogen Fertilization., , and . Remote Sensing, 6 (4): 2940-2962 (2014)Mapping Crop Residue and Tillage Intensity Using WorldView-3 Satellite Shortwave Infrared Residue Indices., , , , , and . Remote. Sens., 10 (10): 1657 (2018)High-Resolution Airborne Hyperspectral Imagery for Assessing Yield, Biomass, Grain N Concentration, and N Output in Spring Wheat., , , , , , and . Remote. Sens., 13 (7): 1373 (2021)Assessment of Drought Indexes on Different Time Scales: A Case in Semiarid Mediterranean Grasslands., , , and . Remote. Sens., 14 (3): 565 (2022)Complexity of the Vegetation-Climate System Through Data Analysis., , , , and . COMPLEX NETWORKS (1), volume 943 of Studies in Computational Intelligence, page 609-619. Springer, (2020)