Quantitative retrieval of crop water content under different soil moistures levels
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SPIE
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Investigating the spatio-temporal variation of vegetation water content in the western United States by blending GNSS-IR, AMSR-E, and AMSR2 observables using machine learning methods;Science of Remote Sensing;2022-12
2. Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point–Surface Fusion of MODIS Products and GNSS-IR Observations;Remote Sensing;2019-06-18
3. Retrieval of leaf water content from remotely sensed data using a vegetation index model constructed with shortwave infrared reflectances;International Journal of Remote Sensing;2018-05-10
4. Estimation of Vegetation Water Content from Landsat 8 OLI Data;SPECTROSC SPECT ANAL;2014
5. Progress in monitoring high-temperature damage to rice through satellite and ground-based optical remote sensing;Science China Earth Sciences;2011-06-17
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