Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau

The soil freeze&#x002F;thaw (F&#x002F;T) cycles play an important role in the climate system and human activities. However, the harsh environment in the Qinghai-Tibet Plateau (QTP) poses great challenges for both in-situ observation and remote-sensing monitoring of the soil F&#x002F;T pr...

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Main Authors: Xin Zhou, Zhengjia Zhang, Qikai Shen, Qihao Chen, Xiuguo Liu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9658174/
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author Xin Zhou
Zhengjia Zhang
Qikai Shen
Qihao Chen
Xiuguo Liu
author_facet Xin Zhou
Zhengjia Zhang
Qikai Shen
Qihao Chen
Xiuguo Liu
author_sort Xin Zhou
collection DOAJ
description The soil freeze&#x002F;thaw (F&#x002F;T) cycles play an important role in the climate system and human activities. However, the harsh environment in the Qinghai-Tibet Plateau (QTP) poses great challenges for both in-situ observation and remote-sensing monitoring of the soil F&#x002F;T process. In this article, the time series of scattering and coherence of the high-resolution Sentinel-1 <italic>C-</italic>band synthetic aperture radar (SAR) is analyzed to identify the soil F&#x002F;T state. The time series of scattering, including intensity and decomposition parameters, and coherence, are analyzed based on three typical landcover types (i.e., desert, grassland, and meadow) in the QTP. They are given the mathematical description by second-order and fourth-order Fourier functions, respectively. Based on Fourier functions, the initial F&#x002F;T time points of the soil are detected in each pixel to draw the F&#x002F;T map of the entire study area. The experiment results are cross-validated with the initial F&#x002F;T time points of the soil calculated from the MODIS land surface temperatures, showing that the differences in days are less than one revisit cycle of Sentinel-1 (i.e., 12 days). Furthermore, the possible impacts of environmental factors acquired from the Wudaoliang meteorological station, including air temperature, ground surface temperature, snow depth, and precipitation, on scattering and coherence are discussed. This study explores that Sentinel-1 has great potential for soil F&#x002F;T monitoring in the QTP, which can indicate F&#x002F;T states of the surface soil as well as F&#x002F;T information of the deeper soil with a high spatial&#x2013;temporal resolution.
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spelling doaj.art-fce8b6ab81b544d6bc3a8a42e633bf002022-12-21T17:22:29ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352022-01-011551953210.1109/JSTARS.2021.31371879658174Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet PlateauXin Zhou0https://orcid.org/0000-0003-1321-510XZhengjia Zhang1Qikai Shen2Qihao Chen3https://orcid.org/0000-0002-7250-8781Xiuguo Liu4School of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaSchool of Geography and Information Engineering, China University of Geosciences, Wuhan, ChinaThe soil freeze&#x002F;thaw (F&#x002F;T) cycles play an important role in the climate system and human activities. However, the harsh environment in the Qinghai-Tibet Plateau (QTP) poses great challenges for both in-situ observation and remote-sensing monitoring of the soil F&#x002F;T process. In this article, the time series of scattering and coherence of the high-resolution Sentinel-1 <italic>C-</italic>band synthetic aperture radar (SAR) is analyzed to identify the soil F&#x002F;T state. The time series of scattering, including intensity and decomposition parameters, and coherence, are analyzed based on three typical landcover types (i.e., desert, grassland, and meadow) in the QTP. They are given the mathematical description by second-order and fourth-order Fourier functions, respectively. Based on Fourier functions, the initial F&#x002F;T time points of the soil are detected in each pixel to draw the F&#x002F;T map of the entire study area. The experiment results are cross-validated with the initial F&#x002F;T time points of the soil calculated from the MODIS land surface temperatures, showing that the differences in days are less than one revisit cycle of Sentinel-1 (i.e., 12 days). Furthermore, the possible impacts of environmental factors acquired from the Wudaoliang meteorological station, including air temperature, ground surface temperature, snow depth, and precipitation, on scattering and coherence are discussed. This study explores that Sentinel-1 has great potential for soil F&#x002F;T monitoring in the QTP, which can indicate F&#x002F;T states of the surface soil as well as F&#x002F;T information of the deeper soil with a high spatial&#x2013;temporal resolution.https://ieeexplore.ieee.org/document/9658174/CoherenceQinghai-Tibet Plateau (QTP)scatteringSentinel-1soil freeze/thaw (F/T) cyclesynthetic aperture radar (SAR)
spellingShingle Xin Zhou
Zhengjia Zhang
Qikai Shen
Qihao Chen
Xiuguo Liu
Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Coherence
Qinghai-Tibet Plateau (QTP)
scattering
Sentinel-1
soil freeze/thaw (F/T) cycle
synthetic aperture radar (SAR)
title Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau
title_full Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau
title_fullStr Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau
title_full_unstemmed Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau
title_short Identifying Soil Freeze&#x002F;Thaw States Using Scattering and Coherence Time Series of High-Resolution <italic>C-</italic>Band Synthetic Aperture Radar in the Qinghai-Tibet Plateau
title_sort identifying soil freeze x002f thaw states using scattering and coherence time series of high resolution italic c italic band synthetic aperture radar in the qinghai tibet plateau
topic Coherence
Qinghai-Tibet Plateau (QTP)
scattering
Sentinel-1
soil freeze/thaw (F/T) cycle
synthetic aperture radar (SAR)
url https://ieeexplore.ieee.org/document/9658174/
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