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Atmospheric influences analysis in passive microwave remote sensing

机译:无源微波遥感中的大气影响分析

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Passive microwave remote sensing has all-weather work capabilities, but atmospheric media have different influences on satellite microwave brightness temperature under different atmospheric conditions and environments. In order to clarify atmospheric influences on Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E), atmospheric radiation were simulated based on AMSR-E configuration under clear sky and cloudy conditions, by using radiative transfer model and atmospheric conditions data. Results showed that atmospheric water vapor was the major factor for atmospheric radiation under clear sky condition. Atmospheric transmittances were almost above 0.98 at AMSR-E's low frequencies (<;18.7GHz) and the microwave brightness temperature changes caused by atmosphere can be ignored in clear sky condition. Atmospheric transmittances at 36.5GHz and 89GHz were 0.896 and 0.756 respectively. The effects of atmospheric water vapor needed to be corrected when using microwave high-frequency channels to inverse land surface parameters in clear sky condition. But under cloud covered conditions, cloud liquid water was the key factor to cause atmospheric radiation. When sky was covered by typical stratus cloud, atmospheric transmittances at 10.7GHz, 18.7GHz and 36.5GHz were 0.942, 0.828 and 0.605 respectively. Comparing with the clear sky condition, the down-welling atmospheric radiation caused by cloud liquid water increased up to 75.365K at 36.5GHz. It showed that the atmospheric correction under clouds covered condition was the primary work to improve the accuracy of land surface parameters inversion of passive microwave remote sensing. The results also provided the basis for microwave atmospheric correction algorithm development. Finally, the atmospheric sounding data was utilized to calculate the atmospheric transmittance of Hailaer Region, Inner Mongolia province, China, in July 2013. The results indicated that atmospheric transmittances were close to 1 at - -band and X-band. 89GHz was greatly influenced by water vapor and its atmospheric transmittance was not more than 0.7. Atmospheric transmittances in Hailaer Region had a relatively stable value at low frequencies(<;18.7GHz) in summer, but had about 0.1 fluctuations with the local water vapor changes at high frequencies.
机译:无源微波遥感具有全天候工作能力,但是在不同的大气条件和环境下,大气介质对卫星微波亮度温度的影响不同。为了弄清大气对先进微波扫描辐射计-地球观测系统(AMSR-E)的影响,通过使用辐射传递模型和大气条件数据,在晴朗天空和多云条件下,基于AMSR-E配置模拟了大气辐射。结果表明,在晴朗的天空条件下,大气中的水蒸气是影响大气辐射的主要因素。在AMSR-E的低频(<; 18.7GHz)下,大气透射率几乎高于0.98,在晴朗的天空条件下,由大气引起的微波亮度温度变化可以忽略不计。 36.5GHz和89GHz的大气透射率分别为0.896和0.756。在晴朗的天空条件下,使用微波高频通道反演陆地表面参数时,需要校正大气水蒸气的影响。但是在云层覆盖的条件下,云层的液态水是引起大气辐射的关键因素。当天空被典型的层云覆盖时,在10.7GHz,18.7GHz和36.5GHz处的大气透射率分别为0.942、0.828和0.605。与晴朗的天空条件相比,在36.5GHz下,由云状液态水引起的下行大气辐射增加至75.365K。结果表明,云层覆盖条件下的大气校正是提高被动微波遥感地表参数反演精度的主要工作。研究结果也为微波大气校正算法的发展提供了依据。最后,利用大气探测数据计算了2013年7月中国内蒙古海拉尔地区的大气透射率。结果表明,在-波段和X波段,大气透射率接近于1。 89GHz受水蒸气的影响很大,其大气透过率不超过0.7。在夏季,海拉尔地区的大气透过率在低频(<; 18.7GHz)处具有相对稳定的值,但在高频处随局部水蒸气的变化具有约0.1的波动。

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