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Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images.

, , , , , , , and . Remote. Sens., 7 (4): 3467-3488 (2015)

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Rice Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images., , , , , , , and . Remote. Sens., 7 (4): 3467-3488 (2015)Inter-Continental Transfer of Pre-Trained Deep Learning Rice Mapping Model and Its Generalization Ability., , , , , , and . Remote. Sens., 15 (9): 2443 (May 2023)A Practical Remote Sensing Monitoring Framework for Late Frost Damage in Wine Grapes Using Multi-Source Satellite Data., , , , , , , and . Remote. Sens., 13 (16): 3231 (2021)Domain Transform Model Driven by Deep Learning for Anti-Noise Hyperspectral and Multispectral Image Fusion., , , , , , , and . IEEE Trans. Geosci. Remote. Sens., (2024)Leaf Anthocyanin Content Retrieval with Partial Least Squares and Gaussian Process Regression from Spectral Reflectance Data., and . Sensors, 21 (9): 3078 (2021)An Improved Soil Moisture Retrieval Algorithm Based on the Land Parameter Retrieval Model for Water-Land Mixed Pixels Using AMSR-E Data., , , , , , and . IEEE Trans. Geosci. Remote. Sens., 57 (10): 7643-7657 (2019)A universal estimation model of fractional vegetation cover for different crops based on time series digital photographs., , , , , and . Comput. Electron. Agric., (2018)Dynamic Mapping of Rice Growth Parameters Using HJ-1 CCD Time Series Data., , , , and . Remote Sensing, 8 (11): 931 (2016)Inversion of surface soil moisture based on ASAR-GM data: Combining water cloud and change detection models., , , , , and . Agro-Geoinformatics, page 1-5. IEEE, (2017)Rice yield estimation at pixel scale using relative vegetation indices from unmanned aerial systems., , , , , , and . Agro-Geoinformatics, page 1-4. IEEE, (2019)