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A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status.

, , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2019)

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A New Integrated Vegetation Index for the Estimation of Winter Wheat Leaf Chlorophyll Content., , , , , and . Remote Sensing, 11 (8): 974 (2019)Augmenting Modern Superscalar Architectures with Configurable Extended Instructions., and . IPDPS Workshops, volume 1800 of Lecture Notes in Computer Science, page 941-950. Springer, (2000)A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2., , , , , , , and . Remote Sensing, 11 (5): 481 (2019)Analysis of change detection algorithms with Landsat-8 data on landslide mapping in the Kaikoura earthquake., , , , , , , , and . IGARSS, page 1950-1953. IEEE, (2017)Off-Nadir Hyperspectral Sensing for Estimation of Vertical Profile of Leaf Chlorophyll Content within Wheat Canopies., , , , , and . Sensors, 17 (12): 2711 (2017)New Spectral Fitting Method for Full-Spectrum Solar-Induced Chlorophyll Fluorescence Retrieval Based on Principal Components Analysis., , , and . Remote Sensing, 7 (8): 10626-10645 (2015)Detection and discrimination of pests and diseases in winter wheat based on spectral indices and kernel discriminant analysis., , , , and . Comput. Electron. Agric., (2017)A novel combined spectral index for estimating the ratio of carotenoid to chlorophyll content to monitor crop physiological and phenological status., , , , , and . Int. J. Applied Earth Observation and Geoinformation, (2019)