Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth

High-resolution Synthetic Aperture Radar (SAR), as an efficient Earth observation technology, can be used as a complementary means of observation for snow depth (SD) and can address the spatial heterogeneity of mountain snow. However, there is still uncertainty in the SD retrieval algorithm based on...

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Autores principales:	Tianwen Feng, Xiaohua Hao, Jian Wang, Hongyi Li, Juan Zhang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	snow depth Sentinel-1 soil signal cross-ratio polarization Google Earth Engine Science Q
Acceso en línea:	https://doaj.org/article/7f09c69123d1442aac79573970629e5a
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spelling	oai:doaj.org-article:7f09c69123d1442aac79573970629e5a2021-11-25T18:55:26ZQuantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth10.3390/rs132246912072-4292https://doaj.org/article/7f09c69123d1442aac79573970629e5a2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4691https://doaj.org/toc/2072-4292High-resolution Synthetic Aperture Radar (SAR), as an efficient Earth observation technology, can be used as a complementary means of observation for snow depth (SD) and can address the spatial heterogeneity of mountain snow. However, there is still uncertainty in the SD retrieval algorithm based on SAR data, due to soil surface scattering. The aim of this study is to quantify the impact of soil signals on the SD retrieval method based on the cross-ratio (CR) of high-spatial resolution SAR images. Utilizing ascending Sentinel-1 observation data during the period from November 2016 to March 2020 and a CR method based on VH- and VV-polarization, we quantitatively analyzed the CR variability characteristics of rock and soil areas within typical thick snow study areas in the Northern Hemisphere from temporal and spatial perspectives. The correlation analysis demonstrated that the CR signal in rock areas at a daily timescale shows a strong correlation (mean value > 0.60) with snow depth. Furthermore, the soil areas are more influenced by freeze-thaw cycles, such that the monthly CR changes showed no or negative trend during the snow accumulation period. This study highlights the complexity of the physical mechanisms of snow scattering during winter processes and the influencing factors that cause uncertainty in the SD retrieval, which help to promote the development of high-spatial resolution C-band data for snow characterization applications.Tianwen FengXiaohua HaoJian WangHongyi LiJuan ZhangMDPI AGarticlesnow depthSentinel-1soil signalcross-ratio polarizationGoogle Earth EngineScienceQENRemote Sensing, Vol 13, Iss 4691, p 4691 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	snow depth Sentinel-1 soil signal cross-ratio polarization Google Earth Engine Science Q
spellingShingle	snow depth Sentinel-1 soil signal cross-ratio polarization Google Earth Engine Science Q Tianwen Feng Xiaohua Hao Jian Wang Hongyi Li Juan Zhang Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth
description	High-resolution Synthetic Aperture Radar (SAR), as an efficient Earth observation technology, can be used as a complementary means of observation for snow depth (SD) and can address the spatial heterogeneity of mountain snow. However, there is still uncertainty in the SD retrieval algorithm based on SAR data, due to soil surface scattering. The aim of this study is to quantify the impact of soil signals on the SD retrieval method based on the cross-ratio (CR) of high-spatial resolution SAR images. Utilizing ascending Sentinel-1 observation data during the period from November 2016 to March 2020 and a CR method based on VH- and VV-polarization, we quantitatively analyzed the CR variability characteristics of rock and soil areas within typical thick snow study areas in the Northern Hemisphere from temporal and spatial perspectives. The correlation analysis demonstrated that the CR signal in rock areas at a daily timescale shows a strong correlation (mean value > 0.60) with snow depth. Furthermore, the soil areas are more influenced by freeze-thaw cycles, such that the monthly CR changes showed no or negative trend during the snow accumulation period. This study highlights the complexity of the physical mechanisms of snow scattering during winter processes and the influencing factors that cause uncertainty in the SD retrieval, which help to promote the development of high-spatial resolution C-band data for snow characterization applications.
format	article
author	Tianwen Feng Xiaohua Hao Jian Wang Hongyi Li Juan Zhang
author_facet	Tianwen Feng Xiaohua Hao Jian Wang Hongyi Li Juan Zhang
author_sort	Tianwen Feng
title	Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth
title_short	Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth
title_full	Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth
title_fullStr	Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth
title_full_unstemmed	Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth
title_sort	quantitative evaluation of the soil signal effect on the correlation between sentinel-1 cross ratio and snow depth
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/7f09c69123d1442aac79573970629e5a
work_keys_str_mv	AT tianwenfeng quantitativeevaluationofthesoilsignaleffectonthecorrelationbetweensentinel1crossratioandsnowdepth AT xiaohuahao quantitativeevaluationofthesoilsignaleffectonthecorrelationbetweensentinel1crossratioandsnowdepth AT jianwang quantitativeevaluationofthesoilsignaleffectonthecorrelationbetweensentinel1crossratioandsnowdepth AT hongyili quantitativeevaluationofthesoilsignaleffectonthecorrelationbetweensentinel1crossratioandsnowdepth AT juanzhang quantitativeevaluationofthesoilsignaleffectonthecorrelationbetweensentinel1crossratioandsnowdepth
_version_	1718410534464782336

Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth

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