气候变化领域集成服务门户(CCPortal): A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space

CCPortal

DOI	10.1016/j.rse.2020.112059
	A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space
	Periasamy S.; Ravi K.P.
发表日期	2020
ISSN	00344257
卷号	251
英文摘要	Soil salinity is one of the crucial factors which undermines agricultural production in the semi-arid region. The study was attempted for the Vellore district, one of the worst-hit semi-regions of Tamil Nadu by salinization. The Sentinel-1 data product of C-band frequency (5.36 GHz) was instrumental in the development of the model. In the present research, a semi-empirical dielectric model was proposed, and its potential in demonstrating the rate of soil salinity was validated with in-situ measurements under semi-saturated conditions (soil moisture<50%). The dielectric behavior of saline and non-saline soil was simulated by investigating the paradigm of the parameters, namely the backscattering coefficient of VV polarization, soil texture, and in-situ dielectric constant in the three-dimensional density space. The imaginary part of the dielectric constant was retrieved by simulating the dielectric loss from the partition observed between the dielectric constant of saline and non-saline soils in the third dimension. The resultant product of the proposed model has achieved the best fit (R2 = 0.85, RMSE = 1.14, Bias = −0.65) with the in-situ EC measures of sandy soil compared to other categories of soil due to the presence of soluble salts in the free water. The proposed simulation demonstrated that the dielectric behavior of saline affected soil is dependent on soil textural characteristics under the semi-saturated condition. The simulation has shown the highest prediction performance (R2 > 0.7) in quantifying the soil EC covered with short crops with a mean height of 0.5 m. This statistical significance reveals the feasibility of the C-band SAR data to quantify the rate of salinity over bare and vegetated soil. © 2020 Elsevier Inc.
英文关键词	Imaginary part of dielectric constant; SAR; Soil salinity; Soil texture; Three-dimensional density space
语种	英语
scopus关键词	Agricultural robots; Agriculture; Backscattering; Dielectric devices; Dielectric losses; Soil moisture; Textures; Agricultural productions; Backscattering coefficients; Dielectric modeling; In-situ measurement; Prediction performance; Saturated conditions; Statistical significance; Textural characteristic; Space-based radar; agricultural production; dielectric property; saline soil; sandy soil; satellite data; satellite imagery; saturated medium; semiarid region; Sentinel; synthetic aperture radar; India; Tamil Nadu; Vellore
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179130
作者单位	Department of Civil Engineering, SRM Institute of Science and Technology, Chengalpattu, India
推荐引用方式 GB/T 7714	Periasamy S.,Ravi K.P.. A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space[J],2020,251.
APA	Periasamy S.,&Ravi K.P..(2020).A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space.Remote Sensing of Environment,251.
MLA	Periasamy S.,et al."A novel approach to quantify soil salinity by simulating the dielectric loss of SAR in three-dimensional density space".Remote Sensing of Environment 251(2020).