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1·FY-2 calibration in Lab calibration in orbit radiometric calibration infrared brightness temperature radiance.

标签FY - 2实验室定标在轨定标场地辐射定标红外亮温辐亮度。

2·The response of microwave brightness temperature parameters to typhoon's precipitation distribution and intensity is analyzed by using 2a25 and 1b11 data.

利用2a25和1b11资料，分析了微波各参数对台风降水分布和强弱的响应。

3·Sea ice thickness distribution along the flight line over Liudongwan Gulf and statistical curve relating brightness temperature to ice thickness are given.

文中给出在辽东湾测得航线上的冰厚度分布和亮度温度与冰厚度的统计曲线。

4·According to the soil dielectric constant and its microwave emissivity, the soil microwave brightness temperature is deduced, and its mathematical model is given.

根据土壤介电常数及相应的微波发射率，推算出亮度温度值，并给出了数学模式。

5·It is not always suitable to use Planck's law or Stefan-Boltzmann's law to describe the relation between brightness temperature and radiance for a wide band sensor.

对于宽波段传感器，不一定能直接由普朗克定律或者斯蒂芬玻尔兹曼定律建立温度与辐射亮度的关系。

6·This paper presents an idea for the average brightness temperature of antenna aperture and its expression for a lossless antenna with matched and unmatched noise sources.

本文提出了天线口面平均亮度的概念，给出了天线终端接有匹配噪声源和非匹配噪声源时天线口面平均亮温度的表达式。

7·The polarized brightness temperature and the functional dependence on various parameters are obtained, and are well compared with experimental data in snow remote sensing.

得到冰雪遥感中辐射亮度温度和各物理参数之间的定量的函数关系，并与实验数据取得很好的一致。

8·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.

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。

9·The key issue in external calibration of microwave radiometer on board satellite is the determination of brightness temperature on the pupil of antenna by using radiative transfer equation.

星载微波辐射计外定标的关键问题是通过辐射传输方程计算天线入瞳处亮温。

10·This paper proves that the Microwave Polarization Difference Index (MPDI) can be used to indicate the vegetation coverage conditions with the AMSR-E L2A brightness temperature data product.

以amsr - E数据为例，研究证明了微波极化差异指数(MPDI)能够反映地表植被覆盖状况。