盐度的被动微波辐射遥感虽然在L波段灵敏度最高，但是其在L波段的灵敏度低于其它许多变量，因此对盐度反演模型精度要求很高。
Even though the window at L-band is the best choice for salinity remote sensing, the sensitivity of brightness temperature to SSS is lower than that of the other variables.
利用卫星遥感数据解译地表特性需要应用辐射传输模型与反演。
The interpretation of satellite remote sensing data in terms of land surface properties requires the use of radiation transfer models and inversion procedures.
基于生物光学模型的水质参数反演分析方法是水质遥感监测算法的发展趋势。
Analytical algorithm, which is based on bio-optical model, represents the trends of algorithms in retrieving water quality parameters from remote sensing data.
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