Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications

KC Kornelsen, P Coulibaly - Journal of Hydrology, 2013 - Elsevier
The sensitivity of Synthetic Aperture Radar (SAR) to soil moisture is well established,
however, the retrieval of soil moisture from SAR is confounded by the effects of surface …

Potential of Sentinel-1 radar data for the assessment of soil and cereal cover parameters

S Bousbih, M Zribi, Z Lili-Chabaane, N Baghdadi… - Sensors, 2017 - mdpi.com
The main objective of this study is to analyze the potential use of Sentinel-1 (S1) radar data
for the estimation of soil characteristics (roughness and water content) and cereal vegetation …

A new empirical model for radar scattering from bare soil surfaces

N Baghdadi, M Choker, M Zribi, ME Hajj, S Paloscia… - Remote Sensing, 2016 - mdpi.com
The objective of this paper is to propose a new semi-empirical radar backscattering model
for bare soil surfaces based on the Dubois model. A wide dataset of backscattering …

First assessment of Sentinel-1A data for surface soil moisture estimations using a coupled water cloud model and advanced integral equation model over the Tibetan …

X Bai, B He, X Li, J Zeng, X Wang, Z Wang, Y Zeng… - Remote sensing, 2017 - mdpi.com
The spatiotemporal distribution of soil moisture over the Tibetan Plateau is important for
understanding the regional water cycle and climate change. In this paper, the surface soil …

Reconstructing and analyzing China's fifty-nine year (1951–2009) drought history using hydrological model simulation

ZY Wu, GH Lu, L Wen, CA Lin - Hydrology and Earth System …, 2011 - hess.copernicus.org
The 1951–2009 drought history of China is reconstructed using daily soil moisture values
generated by the Variable Infiltration Capacity (VIC) land surface macroscale hydrology …

Evaluation of the Oh, Dubois and IEM backscatter models using a large dataset of SAR data and experimental soil measurements

M Choker, N Baghdadi, M Zribi, M El Hajj, S Paloscia… - Water, 2017 - mdpi.com
The aim of this paper is to evaluate the most used radar backscattering models (Integral
Equation Model “IEM”, Oh, Dubois, and Advanced Integral Equation Model “AIEM”) using a …

Soil moisture retrieval using time-series radar observations over bare surfaces

SB Kim, L Tsang, JT Johnson, S Huang… - … on Geoscience and …, 2011 - ieeexplore.ieee.org
A time-series algorithm is proposed to retrieve bare surface soil moisture and rms height
using two copolarized (HH and VV) L-band backscattering coefficients (σ 0). The retrieval …

Microwave-based vegetation descriptors in the parameterization of water cloud model at L-band for soil moisture retrieval over croplands

Z Wang, T Zhao, J Qiu, X Zhao, R Li… - GIScience & Remote …, 2021 - Taylor & Francis
Synthetic aperture radar (SAR) data have significant potential for soil moisture monitoring
because of their high spatial resolution and independence from cloud coverage. However, it …

Comparative analysis of the accuracy of surface soil moisture estimation from the C-and L-bands

M El Hajj, N Baghdadi, M Zribi - … Journal of Applied Earth Observation and …, 2019 - Elsevier
Surface soil moisture (SSM) estimation is of great importance in several areas, such as
hydrology, agriculture and risk assessment. C-band SAR (synthetic aperture radar) data …

Retrieval and multi-scale validation of soil moisture from multi-temporal SAR data in a semi-arid tropical region

SK Tomer, A Al Bitar, M Sekhar, M Zribi… - Remote Sensing, 2015 - mdpi.com
The current study presents an algorithm to retrieve surface Soil Moisture (SM) from multi-
temporal Synthetic Aperture Radar (SAR) data. The developed algorithm is based on the …