| 裸露地表微波热采样深度统计模型 |
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| 引用本文： | 赵少杰,张涛,蒋玲梅,柴琳娜.裸露地表微波热采样深度统计模型[J].遥感学报,2020,24(3):290-301. |
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| 作者姓名： | 赵少杰 张涛 蒋玲梅 柴琳娜 |
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| 作者单位： | 1.地表过程与资源生态国家重点实验室 北京师范大学地理科学学部, 北京 100875;2.自然资源部国土卫星遥感应用中心, 北京 100048;3.遥感科学国家重点实验室 遥感与地理信息系统研究中心 北京师范大学地理科学学部, 北京 100875 |
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| 基金项目： | 国家自然科学基金(编号: 41871228,41801287) |
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| 摘 要： | 被动微波遥感反演土壤水分对应的土壤深度是土壤水分产品真实性检验和应用中必须确定的问题。本研究利用理论模型对影响土壤热采样深度的参数进行了分析。在此基础上,通过回归分析的方法发展了一个估算被动微波遥感土壤热采样深度的统计模型,并通过微波辐射测量实验对模型进行了验证。研究证明,理论模型模拟裸露地表发射率平均误差为0.032,基于理论模型发展的热采样深度统计模型的误差在0.5 cm左右。该统计模型可以通过土壤含水量、温度、质地和观测频率4个较容易获取的参数计算土壤微波辐射的热采样深度,为被动微波遥感土壤水分产品的真实性检验工作中地面土壤水分测量以及土壤水分遥感产品的应用提供参考。
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| 关 键 词： | 被动微波遥感 热采样深度 统计模型 土壤水分 真实性检验 |
| 收稿时间： | 2019/7/8 0:00:00 |
A statistical model for estimating microwave thermal sampling depth of bare soil |
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| ZHAO Shaojie,ZHANG Tao,JIANG Lingmei,CHAI Linna.A statistical model for estimating microwave thermal sampling depth of bare soil[J].Journal of Remote Sensing,2020,24(3):290-301. |
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| Authors: | ZHAO Shaojie ZHANG Tao JIANG Lingmei CHAI Linna |
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| Institution: | (State Key Laboratory of Earth Surface Processes and Resource Ecology,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China;Land Satellite Remote Sensing Application Center,Ministry of Natural Resources of the People's Republic of China,Beijing 100048,China;State Key Laboratory of Remote Sensing Science,Research Center for Remote Sensing and GIS,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China) |
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| Abstract: | One of the greatest advantages of microwave remote sensing over other remote sensing techniques is penetrability.Quantitatively estimating the sensing depth of passive microwave remote sensing is meaningful for simulation of satellite signals and validation of land surface parameters to estimate the sensing depth of passive microwave remote sensing. In this paper, a simple statistical model for estimating the thermal sampling depth in microwave frequencies of soil was developed and validated.Thermal Sampling Depth(TSD) was introduced to describe the source of the main signals of passive microwave remote sensing. To develop a simple statistical model for estimating the TSD of soil, a theoretical model was introduced to describe the emission characteristics of a three-layer case, which incorporates all multiple reflections at the two boundaries. Based on radiative transfer theory, the total emission of the three layers was calculated. Sensitivity analysis was then performed to demonstrate the effects of the soil properties and frequency on the TSD based on a simulation database covering a wide range of soil characteristics and frequencies. Based on the sensitivity analysis results, a statistical model for estimating TSD was developed. This model can estimate the TSD using four common and easily acquired parameters: soil moisture, temperature, frequency, and soil specific surface area. For validation, a controlled field experiment using a Truckmounted Multi-frequency Microwave Radiometer(TMMR) was designed and performed.The total Root Mean Square Error(RMSE) between the TSD measured in field experiment and estimated using the statistical model was approximately 0.5 cm for the TRMM’s four frequencies.The results indicated that the developed statistical model offers a relatively accurate and simple way to estimate the TSD. |
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| Keywords: | passive microwave remote sensing thermal sampling depth statistical model soil moisture validation |
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