Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil

The sensing depth of passive microwave remote sensing is a significant factor in quantitative frozen soil studies. In this paper, a microwave radiation response depth (MRRD) was proposed to describe the source of the main signals of passive microwave remote sensing. The main goal of this research wa...

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Main Authors: Tao Zhang, Lingmei Jiang, Shaojie Zhao, Linna Chai, Yunqing Li, Yuhao Pan
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/11/17/2028
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spelling doaj-8a85dd9361904183ac08a106c230638d2020-11-25T01:46:36ZengMDPI AGRemote Sensing2072-42922019-08-011117202810.3390/rs11172028rs11172028Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen SoilTao Zhang0Lingmei Jiang1Shaojie Zhao2Linna Chai3Yunqing Li4Yuhao Pan5Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of the People’s Republic of China, Beijing 100048, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaSchool of Urban Construction, Beijing City University, Beijing 100083, ChinaState Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaThe sensing depth of passive microwave remote sensing is a significant factor in quantitative frozen soil studies. In this paper, a microwave radiation response depth (MRRD) was proposed to describe the source of the main signals of passive microwave remote sensing. The main goal of this research was to develop a simple and accurate parameterized model for estimating the MRRD of frozen soil. A theoretical model was introduced first to describe the emission characteristics of a three-layer case, which incorporates multiple reflections at the two boundaries. Based on radiative transfer theory, the total emission of the three layers was calculated. A sensitivity analysis was then performed to demonstrate the effects of soil properties and frequency on the MRRD based on a simulation database comprising a wide range of soil characteristics and frequencies. Sensitivity analysis indicated that soil temperature, soil texture, and frequencies are three of the primary variables affecting MRRD, and a definite empirical relationship existed between the three parameters and the MRRD. Thus, a parameterized model for estimating MRRD was developed based on the sensitivity analysis results. A controlled field experiment using a truck-mounted multi-frequency microwave radiometer (TMMR) was designed and performed to validate the emission model of the soil freeze−thaw cycle and the parameterized model of MRRD developed in this work. The results indicated that the developed parameterized model offers a relatively accurate and simple way of estimating the MRRD. The total root mean square error (RMSE) between the calculated and measured MRRD of frozen loam soil was approximately 0.5 cm for the TMMR’s four frequencies.https://www.mdpi.com/2072-4292/11/17/2028frozen soilmicrowave radiation response depth (MRRD)microwave radiometer experimentparameterized model
collection DOAJ
language English
format Article
sources DOAJ
author Tao Zhang
Lingmei Jiang
Shaojie Zhao
Linna Chai
Yunqing Li
Yuhao Pan
spellingShingle Tao Zhang
Lingmei Jiang
Shaojie Zhao
Linna Chai
Yunqing Li
Yuhao Pan
Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil
Remote Sensing
frozen soil
microwave radiation response depth (MRRD)
microwave radiometer experiment
parameterized model
author_facet Tao Zhang
Lingmei Jiang
Shaojie Zhao
Linna Chai
Yunqing Li
Yuhao Pan
author_sort Tao Zhang
title Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil
title_short Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil
title_full Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil
title_fullStr Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil
title_full_unstemmed Development of a Parameterized Model to Estimate Microwave Radiation Response Depth of Frozen Soil
title_sort development of a parameterized model to estimate microwave radiation response depth of frozen soil
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2019-08-01
description The sensing depth of passive microwave remote sensing is a significant factor in quantitative frozen soil studies. In this paper, a microwave radiation response depth (MRRD) was proposed to describe the source of the main signals of passive microwave remote sensing. The main goal of this research was to develop a simple and accurate parameterized model for estimating the MRRD of frozen soil. A theoretical model was introduced first to describe the emission characteristics of a three-layer case, which incorporates multiple reflections at the two boundaries. Based on radiative transfer theory, the total emission of the three layers was calculated. A sensitivity analysis was then performed to demonstrate the effects of soil properties and frequency on the MRRD based on a simulation database comprising a wide range of soil characteristics and frequencies. Sensitivity analysis indicated that soil temperature, soil texture, and frequencies are three of the primary variables affecting MRRD, and a definite empirical relationship existed between the three parameters and the MRRD. Thus, a parameterized model for estimating MRRD was developed based on the sensitivity analysis results. A controlled field experiment using a truck-mounted multi-frequency microwave radiometer (TMMR) was designed and performed to validate the emission model of the soil freeze−thaw cycle and the parameterized model of MRRD developed in this work. The results indicated that the developed parameterized model offers a relatively accurate and simple way of estimating the MRRD. The total root mean square error (RMSE) between the calculated and measured MRRD of frozen loam soil was approximately 0.5 cm for the TMMR’s four frequencies.
topic frozen soil
microwave radiation response depth (MRRD)
microwave radiometer experiment
parameterized model
url https://www.mdpi.com/2072-4292/11/17/2028
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