New methodology for soil surface moisture estimation and its application to ENVISAT-ASAR multi-incidence data inversion

M Zribi, N Baghdadi, N Holah, O Fafin - Remote sensing of environment, 2005 - Elsevier
This paper presents an original methodology to retrieve surface soil moisture based on the
use of the ENVISAT-ASAR multi-incidence angle sensor. Previous studies using ERS and …

Effects of corn on C-and L-band radar backscatter: A correction method for soil moisture retrieval

AT Joseph, R van der Velde, PE O'neill, R Lang… - Remote Sensing of …, 2010 - Elsevier
This paper discusses the effects of vegetation on C-(4.75 GHz) and L-(1.6 GHz) band
backscattering (σo) measured throughout a growth cycle at incidence angles of 15, 35 and …

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 …

Analysis of L-band SAR data for soil moisture estimations over agricultural areas in the tropics

M Zribi, S Muddu, S Bousbih, A Al Bitar, SK Tomer… - Remote Sensing, 2019 - mdpi.com
The main objective of this study is to analyze the potential use of L-band radar data for the
estimation of soil moisture over tropical agricultural areas under dense vegetation cover …

Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery

L Zhu, JP Walker, N Ye, C Rüdiger - Remote sensing of environment, 2019 - Elsevier
Multi-temporal analysis has been widely acknowledged as a promising method to derive soil
moisture from radar backscatter observations. The method assumes that only soil moisture …

[HTML][HTML] Simultaneously estimating surface soil moisture and roughness of bare soils by combining optical and radar data

X Zheng, Z Feng, L Li, B Li, T Jiang, X Li, X Li… - International Journal of …, 2021 - Elsevier
Both radar and optical signals are sensitive to the change of surface soil moisture (SSM) and
surface roughness properties (such as root mean squared height-RMSH), and the accuracy …

Soil moisture retrieval from time series multi-angular radar data using a dry down constraint

L Zhu, JP Walker, L Tsang, H Huang, N Ye… - Remote Sensing of …, 2019 - Elsevier
Multi-angular and multi-temporal methods have been developed and accepted as two
promising strategies for reliable soil moisture retrieval from radar data. However, the way to …

Soil moisture retrieval in agricultural fields using adaptive model-based polarimetric decomposition of SAR data

L He, R Panciera, MA Tanase… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The aim of this paper was to estimate soil moisture in agricultural crop fields from fully
polarimetric L-band synthetic aperture radar (SAR) data through the polarimetric …

Potential of X-band TerraSAR-X and COSMO-SkyMed SAR data for the assessment of physical soil parameters

A Gorrab, M Zribi, N Baghdadi, B Mougenot… - Remote Sensing, 2015 - mdpi.com
The aim of this paper is to analyze the potential of X-band SAR measurements (COSMO-
SkyMed and TerraSAR-X) made over bare soils for the estimation of soil moisture and …

Estimation of surface roughness parameter in intertidal mudflat using airborne polarimetric SAR data

SE Park, WM Moon, D Kim - IEEE transactions on geoscience …, 2009 - ieeexplore.ieee.org
The coastal zones of the Korean peninsula are well known for their large tide ranges and
vast expanse of intertidal flats. In this paper, methods of extracting the roughness of the …