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Urban vegetation phenology analysis and the response to the temperature change., , , , и . IGARSS, стр. 5743-5746. IEEE, (2017)Evaluation of the Tau-Omega Model Over a Dense Corn Canopy at P- and L-Band., , , , , , , , и . IEEE Geosci. Remote. Sens. Lett., (2023)Soil Moisture Retrieval Depth of P- and L-Band Radiometry: Predictions and Observations., , , , , , , и . IEEE Trans. Geosci. Remote. Sens., 59 (8): 6814-6822 (2021)Identification of Agricultural Row Features Using Optical Data for Scattering and Reflectance Modeling Over Periodic Surfaces., , , и . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)The Soil Moisture Active Passive Experiments: Validation of the SMAP Products in Australia., , , , , , , , , и 6 other автор(ы). IEEE Trans. Geosci. Remote. Sens., 59 (4): 2922-2939 (2021)The Polarimetric L-Band Imaging Synthetic Aperture Radar (PLIS): Description, Calibration, and Cross-Validation., , , , , , , , , и 3 other автор(ы). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 11 (11): 4513-4525 (2018)Calculation of CO2 Emissions from China at Regional Scales Using Remote Sensing Data., , , и . Remote. Sens., 16 (3): 544 (февраля 2024)Urban vegetation classification based on phenology using HJ-1A/B time series imagery., , , , , и . JURSE, стр. 1-4. IEEE, (2015)Multi-modal temporal CNNs for live fuel moisture content estimation., , , , и . Environ. Model. Softw., (2022)