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- 2018
地表粗糙度影响下的GNSS-R土壤湿度反演仿真分析
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Abstract:
基于双天线全球导航卫星系统反射技术（global navigation satellite system reflectometry，GNSS-R），建立了两个修正地表粗糙度影响的土壤湿度反演模型——解析模型和人工神经网络模型，并以GPS L1 C/A码为例建立了GNSS-R土壤湿度仿真平台，仿真分析了地表粗糙度对两个模型反演精确度的影响。结果表明，当地表均方根高度大于0.010 m时，必须对解析模型进行粗糙度修正。粗糙度影响修正结果显示，小粗糙度情况下修正的解析模型取得了良好的结果，但对于大粗糙度有一定局限性。在均方根高度大于0.025 m时，进行土壤粗糙度修正前，人工神经网络模型精度比解析模型提高了36.83%~72.36%。进行修正后，人工神经网络模型的精度比解析模型提高了42.86%~54.40%。人工神经网络模型在修正前后取得了相近的精度，无修正的人工神经网络模型精度比有修正的解析模型精度仍提高了35.83%~53.48%
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