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首页> 外文期刊>IEEE Transactions on Geoscience and Remote Sensing >A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space
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A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space

机译：一个半经验模型，用于解释从空间看从半干旱陆地表面发出的微波

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摘要

A radiative transfer model for simulating microwave brightness temperatures over land surfaces is described. The model takes into account sensor viewing conditions (spacecraft altitude, viewing angle, frequency, polarization) and atmospheric parameters over a soil surface characterized by its moisture, roughness, and temperature and covered with a layer of vegetation characterized by its temperature, water content, single scattering albedo, structure and percent coverage. In order to reduce the influence of atmospheric and surface temperature effects, the brightness temperatures are expressed as polarization ratios that depend primarily on the soil moisture and roughness, canopy water content, and percentage of cover. The approach used is described, and the sensitivity of the polarization ratio to these parameters is investigated. Simulation of the temporal evolution of the microwave signal over semiarid areas in the African Sahel is presented and compared to actual satellite data from the SMMR instrument on Nimbus-7.
机译：描述了用于模拟陆地表面微波亮度温度的辐射传递模型。该模型考虑了以土壤的水分，粗糙度和温度为特征的传感器观测条件（航天器的高度，视角，频率，极化）和土壤表面的大气参数，并覆盖了以温度，含水量为特征的植被层，单散射反照率，结构和覆盖率百分比。为了减少大气和表面温度效应的影响，亮度温度以偏振比表示，偏振比主要取决于土壤的湿度和粗糙度，冠层含水量和覆盖率。描述了所使用的方法，并研究了偏振比对这些参数的敏感性。本文介绍了非洲萨赫勒地区半干旱地区微波信号随时间变化的模拟，并将其与Nimbus-7上SMMR仪器的实际卫星数据进行了比较。

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