干旱区生态环境知识资源中心(Arid): Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India

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DOI	10.3390/rs12142266
	Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India
	Singh, Abhilash; Gaurav, Kumar; Meena, Ganesh Kumar; Kumar, Shashi
通讯作者	Gaurav, K
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:14
英文摘要	Surface soil moisture has a wide application in climate change, agronomy, water resources, and in many other domain of science and engineering. Measurement of soil moisture at high spatial and temporal resolution at regional and global scale is needed for the prediction of flood, drought, planning and management of agricultural productivity to ensure food security. Recent advancement in microwave remote sensing, especially after the launch of Sentinel operational satellites has enabled the scientific community to estimate soil moisture at higher spatial and temporal resolution with greater accuracy. This study evaluates the potential of Sentinel-1A satellite images to estimate soil moisture in a semi-arid region. Exactly at the time when satellite passes over the study area, we have collected soil samples at 37 different locations and measured the soil moisture from 5 cm below the ground surface using ML3 theta probe. We processed the soil samples in laboratory to obtain volumetric soil moisture using the oven dry method. We found soil moisture measured from calibrated theta probe and oven dry method are in good agreement with Root Mean Square Error (RMSE) 0.025 m3/m3and coefficient of determination (R2) 0.85. We then processed Sentinel-1A images and applied modified Dubois model to calculate relative permittivity of the soil from the backscatter values (sigma degrees). The volumetric soil moisture at each pixel is then calculated by applying the universal Topp's model. Finally, we masked the pixels whose Normalised Difference Vegetation Index (NDVI) value is greater than 0.4 to generate soil moisture map as per the Dubois NDVI criterion. Our modelled soil moisture accord with the measured values with RMSE = 0.035 and R-2= 0.75. We found a small bias in the modelled soil moisture (0.02m(3)/m(3)). However, this has reduced significantly (0.001m(3)/m(3)) after applying a bias correction based on Cumulative Distribution Function (CDF) matching. Our approach provides a first-order estimate of soil moisture from Sentinel-1A images in sparsely vegetated agricultural land.
英文关键词	soil moisture theta probe Sentinel-1A NDVI modified Dubois model
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000554247300001
WOS关键词	SYNTHETIC-APERTURE RADAR ; DATA ASSIMILATION METHODS ; BARE SOIL ; L-BAND ; SURFACE-ROUGHNESS ; C-BAND ; RETRIEVAL ; SAR ; BACKSCATTERING ; PARAMETERIZATION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/325318
作者单位	[Singh, Abhilash; Gaurav, Kumar; Meena, Ganesh Kumar] Indian Inst Sci Educ & Res, Dept Earth & Environm Sci, Bhopal 462066, Madhya Pradesh, India; [Kumar, Shashi] ISRO, Dept Photogrammetry & Remote Sensing, Indian Inst Remote Sensing, Dehra Dun 248001, Uttarakhand, India
推荐引用方式 GB/T 7714	Singh, Abhilash,Gaurav, Kumar,Meena, Ganesh Kumar,et al. Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India[J],2020,12(14).
APA	Singh, Abhilash,Gaurav, Kumar,Meena, Ganesh Kumar,&Kumar, Shashi.(2020).Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India.REMOTE SENSING,12(14).
MLA	Singh, Abhilash,et al."Estimation of Soil Moisture Applying Modified Dubois Model to Sentinel-1; A Regional Study from Central India".REMOTE SENSING 12.14(2020).