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  • 软件名称:基于地基微波辐射计数据评估不同土壤介电模型反演土壤湿度的适用性
  • 软件大小: 0.00 B
  • 软件评级: ★★★
  • 开 发 商: 王作亮,文军,刘蓉,李振朝,郑东海,王欣
  • 软件来源: 《遥感技术与应用》
  • 解压密码:www.gissky.net

资源简介

摘要: 以青藏高原开展的L波段地基微波辐射(ELBARA-III型)综合观测试验为依据,基于 τ - ω 辐射传输模型评估了Wang-Schmugge、Mironov、Dobson和 Four-Phase 4种土壤介电模型对L波段微波亮温模拟及土壤湿度反演的影响。结果表明:相同植被和粗糙度参数化方案条件下,4种土壤介电模型对微波亮温模拟存在明显差异,当土壤湿度小于0.23 m3·m-3时,Wang-Schmugge模型与其他3种土壤介电模型微波亮温模拟结果差异最为显著,水平和垂直极化微波亮温模拟最大差值可达8.0 K和4.4 K;当模拟土壤湿度大于0.23 m3·m-3时,Four-phase模型模拟的微波亮温显著高于其他3种土壤介电模型模拟结果;当土壤湿度饱和时,4种土壤介电模型间水平和垂直极化微波亮温模拟最大差值约为6.1 K和4.8 K,且4种土壤介电模型对水平极化微波亮温模拟的差异比垂直极化模拟的差异更为显著。而基于4种介电模型的土壤湿度反演对比试验表明,水平极化条件下基于Wang-Schmugge模型反演土壤湿度,较其他参数化方案,能有效减轻反演土壤湿度对观测土壤湿度的低估,Mironov模型减轻了垂直极化条件下反演土壤湿度对观测值的高估程度。在现有 τ - ω 模型参数化方案的基础上,总结了4种土壤介电模型在青藏高原典型草地下垫面的适用性,将为星载L波段辐射计青藏高原土壤湿度反演应用提供客观的土壤介电模型方案选取依据。 关键词: L波段;  被动微波;  微波亮温;  土壤介电模型;  土壤湿度反演     Abstract: Based on soil moisture and freeze/thaw comprehensive experiments conducted at the north-eastern part of the Tibetan Plateau, the L-band brightness temperature, the in-situ soil moisture and temperature, vegetation leaf area index are measured simultaneously for the purpose of evaluating performances on forward brightness temperature simulation and soil moisture retrieval using four dielectric constant models, including Wang-Schmugge, Mironov, Dobson, and Four-Phase model. The forward brightness temperature simulations indicate that the difference of simulated brightness temperature between Wang schmugge model and the other three dielectric constant models is most significant at lower soil moisture content condition (soil moisture is less than 0.23 m3·m-3) , nevertheless, the difference of Mironov model simulation is most significant in contrast with the ones of other three models at higher soil moisture condition (soil moisture is greater than 0.23 m3·m-3). The practical retrieval of soil moisture from the ground-based radiometer measurements indicate that Wang-Schmugge model can effectively reduce the underestimation of soil moisture at the horizontal polarization, this resulted an improvement to the accuracy of retrieved soil moisture. Mironov model can reduce the underestimation of retrieved soil moisture at the vertical polarization. In accordance with a state-of-the-art parameterization scheme, the evaluation of performances of four dielectric constant models at the typical alpine meadow is potential for selecting optimum soil moisture retrieval by using soil dielectric model from space-borne L-band radiometer observation over the Tibetan Plateau

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