首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >RETRIEVAL OF SURFACE PARAMETERS FROM MICROWAVE RADIOMETRY OVER OPEN CANOPIES AT HIGH FREQUENCIES
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RETRIEVAL OF SURFACE PARAMETERS FROM MICROWAVE RADIOMETRY OVER OPEN CANOPIES AT HIGH FREQUENCIES

机译:在高频下从开放盖上的微波辐射法检索表面参数

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Methods for interpreting the microwave high-frequency emission of open canopies are proposed in this article. Three frequencies are considered: 23.8, 36.5, and 90 GHz. The microwave data were collected simultaneously with the canopy infrared temperature, and ground measurements of moisture, temperature, and bulk density of the soil together with water content and volume fraction of the vegetation. Soil emission is modeled using dielectric permittivity and roughness parameters previously determined over bare soil surfaces. Two kinds of vegetation canopies are considered: a sparse-growing sorghum and a wheat canopy composed of dense, large patches. The microwave mired soil-vegetation emission is analyzed using three modeling approaches. At 23.8 and 36.5 GHz, a random continuous approach can. be applied. The sparse canopy emission is efficiently described by considering the vegetation layer as homogeneous. Conversely, a mixing equation must be used for the patchy canopy. At 90 GHz, another technique is applied. It consists of including vegetation in soil roughness parameters. The problem with retrieving the canopy temperature and the near-surface soil moisture at high frequencies is addressed. For the sparse canopy, soil moisture retrieval is possible. The canopy temperature is retrieved with poor accuracy, however. Over the patchy surface, geophysical parameter retrieval with high frequencies alone seems much more difficult. [References: 23]
机译:本文提出了一种解释开放冠层微波高频发射的方法。考虑了三个频率:23.8、36.5和90 GHz。微波数据是与冠层红外温度同时收集的,地面测量的是土壤的水分,温度和堆积密度,以及水分和植被的体积分数。使用先前在裸露的土壤表面上确定的介电常数和粗糙度参数对土壤排放进行建模。考虑了两种植被冠层:稀疏生长的高粱和由密集的大块状组成的小麦冠层。使用三种建模方法分析了微波陷害土壤植被的发射。在23.8 GHz和36.5 GHz,可以采用随机连续方法。被应用。通过考虑植被层是均匀的,可以有效地描述稀疏的树冠发射。相反,对于斑驳的顶篷,必须使用混合方程式。在90 GHz,应用了另一种技术。它包括将植被包括在土壤粗糙度参数中。解决了在高频下获取冠层温度和近地表土壤水分的问题。对于稀疏的树冠,可以恢复土壤水分。然而,冠层温度的获取精度较差。在斑驳的表面上,仅通过高频进行地球物理参数检索似乎要困难得多。 [参考:23]

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