From post

A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables.

, , , , , , , и . Remote. Sens., 14 (16): 4083 (2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Joint Retrieval of Winter Wheat Leaf Area Index and Canopy Chlorophyll Density Using Hyperspectral Vegetation Indices., , , , и . Remote. Sens., 13 (16): 3175 (2021)A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables., , , , , , , и . Remote. Sens., 14 (16): 4083 (2022)Comparison of Vegetation Phenology Derived from Solar-Induced Chlorophyll Fluorescence and Enhanced Vegetation Index, and Their Relationship with Climatic Limitations., , , , , , и . Remote. Sens., 14 (13): 3018 (2022)Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy., , , , , , , , , и 7 other автор(ы). IGARSS, стр. 3381-3384. IEEE, (2015)Characteristics of Greening along Altitudinal Gradients on the Qinghai-Tibet Plateau Based on Time-Series Landsat Images., , , , , , , , , и 2 other автор(ы). Remote. Sens., 14 (10): 2408 (2022)Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery., , , , , , , , , и 3 other автор(ы). Int. J. Appl. Earth Obs. Geoinformation, (2019)Forecasting Pollen Aerobiology with Modis EVI, Land Cover, and Phenology Using Machine Learning Tools., , , , и . IGARSS, стр. 5429-5432. IEEE, (2019)Seamless Upscaling of the Field-Measured Grassland Aboveground Biomass Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance., , , , , , , , , и . ISPRS Int. J. Geo Inf., 7 (7): 242 (2018)Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental data., , , , , , , , , и 1 other автор(ы). Int. J. Appl. Earth Obs. Geoinformation, (2021)Sinergistic use of radar and optical data for agricultural data products assimilation: A case study in Central Italy., , , , , , , , , и 7 other автор(ы). IGARSS, стр. 3381-3384. IEEE, (2015)