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Can I read Surface soil moisture estimation using dual-Polarimetric Stokes parameters and backscattering coefficient on EtoBox?
Surface soil moisture estimation using dual-Polarimetric Stokes parameters and backscattering coefficient by Elhoucaine Elkharrouba; Aliihsan Sekertekin; Jamila Fathi; Yassine Tounsi; Hamid Bioud; Abdelkrim Nassim is a Environmental Science article available to read on EtoBox.
What is Surface soil moisture estimation using dual-Polarimetric Stokes parameters and backscattering coefficient about?
Surface soil moisture (SSM) is an important key aspect highly applied in several fields as water resources, climate change, and agronomy. The soil moisture estimation at high spatial and temporal resolution is considered as an important aspect for a sustainable environment. This study seeks to examine the potential of Stokes parameters and backscattering coefficients of C-band Sentinel-1 to estimate SSM over bare and sparsely vegetated agricultural fields. In this work, a total of 33 surface soil samples (0–5 cm) were collected from 2 provinces in a semi-arid region of northwestern Morocco, the study is conducted between December 24-2020 and February 23-2021, then analyzed in the laboratory to determine the percentage of soil moisture volume. As a second experiment to verify the consistency of our results, a total of 36 surface soil samples (0–5 cm) were collected and measured over a semi-arid area in central India. In addition to the soil samples, the Sentinel-1 data are acquired. In this study, two models are proposed for the estimation of the SSM, namely a model based on partial least squares regression (PLSR) and radar backscatter, and a model based on partial least squares reg
Who reads Surface soil moisture estimation using dual-Polarimetric Stokes parameters and backscattering coefficient?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Elhoucaine Elkharrouba; Aliihsan Sekertekin; Jamila Fathi; Yassine Tounsi; Hamid Bioud; Abdelkrim Nassim
- Publisher
- Elsevier BV
- Published
- 2022
- Language
- EN
- Field
- Environmental Science (Physical Sciences)