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Utilizing calibrated GPS reflected signals to estimate soil reflectivity and dielectric constant: Results from SMEX02

机译:利用校准的GPS反射信号估算土壤的反射率和介电常数:SMEX02的结果

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Extensive reflected GPS data was collected using a GPS reflectometer installed on an HC130 aircraft during the Soil Moisture Experiment 2002 (SMEX02) near Ames, Iowa. At the same time, widespread surface truth data was acquired in the form of point soil moisture profiles, areal sampling of near-surface soil moisture, total green biomass and precipitation history, among others. Previously, there have been no reported efforts to calibrate reflected GPS data sets acquired over land. This paper reports the results of two approaches to calibration of the data that yield consistent results. It is shown that estimating the strength of the reflected signals by either (1) assuming an approximately specular surface reflection or (2) inferring the surface slope probability density and associated normalization constants give essentially the same results for the conditions encountered in SMEX02. The corrected data is converted to surface reflectivity and then to dielectric constant as a test of the calibration approaches. Utilizing the extensive in-situ soil moisture related data this paper also presents the results of comparing the GPS-inferred relative dielectric constant with the Wang-Schmugge model frequently used to relate volume moisture content to dielectric constant. It is shown that the calibrated GPS reflectivity estimates follow the expected dependence of permittivity with volume moisture, but with the following qualification: The soil moisture value governing the reflectivity appears to come from only the top 1-2 cm of soil, a result consistent with results found for other microwave techniques operating at L-band. Nevertheless, the experimentally derived dielectric constant is generally lower than predicted. Possible explanations are presented to explain this result. (C) 2005 Elsevier Inc. All rights reserved.
机译:在爱荷华州埃姆斯附近的2002年土壤水分实验(SMEX02)期间,使用安装在HC130飞机上的GPS反射计收集了广泛的GPS反射数据。同时,以点土壤水分剖面,近地表土壤水分的面采样,总绿色生物量和降水历史等形式获取了广泛的地表真实数据。以前,没有报告称要校准在陆地上获取的反射GPS数据集。本文报告了两种用于产生一致结果的数据校准方法的结果。结果表明,通过(1)假设近似镜面反射或(2)推断表面斜率概率密度和相关的归一化常数来估计反射信号的强度,对于SMEX02中遇到的条件,其结果基本相同。将校正后的数据转换为表面反射率,然后转换为介电常数,作为对校准方法的测试。利用广泛的原地土壤水分相关数据,本文还提供了将GPS推断的相对介电常数与经常用于将体积含水量与介电常数相关联的Wang-Schmugge模型进行比较的结果。结果表明,校正后的GPS反射率估计值遵循介电常数与体积水分的预期关系,但具有以下限定条件:控制反射率的土壤水分值似乎仅来自土壤的顶部1-2 cm,与在L波段工作的其他微波技术的结果。尽管如此,实验得出的介电常数通常低于预期。提供可能的解释以解释此结果。 (C)2005 Elsevier Inc.保留所有权利。

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