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30 Nov 2010
An inversion method based on multi-angular approaches for estimating bare soil surface parameters from RADARSAT-1
M. R. Sahebi and J. Angles
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2,680 |
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Total article views: 2,073 (including HTML, PDF, and XML)
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120 |
2,073 |
118 |
88 |
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27 citations as recorded by crossref.
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Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation
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10.1016/j.rse.2023.113466
-
Modified Dubois Model for Estimating Soil Moisture with Dual Polarized SAR Data
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10.1007/s12524-013-0274-3
-
Multi‐angular ground‐based SAR system for soil surface roughness characterisation
H. Wang et al.
10.1049/el.2015.1619
-
Optimization approach to retrieve soil surface parameters from single-acquisition single-configuration SAR data
A. Ghorbanian et al.
10.1016/j.crte.2018.11.005
-
A Global Sensitivity Analysis of Soil Parameters Associated With Backscattering Using the Advanced Integral Equation Model
. Chunfeng Ma et al.
10.1109/TGRS.2015.2426194
-
Adaptive weighted learning for vegetation contribution in soil moisture inversion using PolSAR data
Q. Yin et al.
10.1080/01431161.2022.2088259
-
Soil moisture estimation using RISAT-1 and SENTINEL-1 data using modified Dubois model in comparison with averaged NDVI
P. Thanabalan et al.
10.1080/10106049.2021.2003443
-
Strategies to Measure Soil Moisture Using Traditional Methods, Automated Sensors, Remote Sensing, and Machine Learning Techniques: Review, Bibliometric Analysis, Applications, Research Findings, and Future Directions
A. Singh et al.
10.1109/ACCESS.2023.3243635
-
The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China
X. Zhang et al.
10.3390/rs8010007
-
Drainage congestion due to road network on the Kosi alluvial Fan, Himalayan Foreland
A. Singh et al.
10.1016/j.jag.2022.102892
-
Comparison of different polarimetric decompositions for soil moisture retrieval over vegetation covered agricultural area
H. Wang et al.
10.1016/j.rse.2017.07.008
-
Dual-Channel Convolutional Neural Network for Bare Surface Soil Moisture Inversion Based on Polarimetric Scattering Models
Q. Yin et al.
10.3390/rs13224503
-
Simulating C‐Band SAR Footprint‐Scale Backscatter Over Agricultural Area With a Physical Land Surface Model
L. Sun et al.
10.1029/2019WR025163
-
Evaluation of modified Dubois model for estimating surface soil moisture using dual polarization RISAT-1 C-band SAR data
R. Dave et al.
10.1080/10106049.2019.1655801
-
Soil Moisture Content Retrieval from Remote Sensing Data by Artificial Neural Network Based on Sample Optimization
Q. Liu et al.
10.3390/s22041611
-
Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery
L. Zhu et al.
10.1016/j.rse.2019.02.027
-
Bare Soil Surface Moisture Retrieval from Sentinel-1 SAR Data Based on the Calibrated IEM and Dubois Models Using Neural Networks
H. Mirsoleimani et al.
10.3390/s19143209
-
Soil moisture retrieval over agricultural fields through integration of synthetic aperture radar and optical images
M. Mardan & S. Ahmadi
10.1080/15481603.2021.1974276
-
Spatiotemporal Variability of Arctic Soil Moisture Detected from High-Resolution RADARSAT-2 SAR Data
A. Collingwood et al.
10.1155/2018/5712046
-
Assessment of Different Backscattering Models for Bare Soil Surface Parameters Estimation from SAR Data in band C, L and P
S. MirMazloumi & M. Sahebi
10.5721/EuJRS20164915
-
Soil Moisture Monitoring with Dual-Incidence-Angle RISAT-1 Data: A Pilot Study from Vidarbha Region
D. Sahadevan et al.
10.1007/s12524-019-00998-4
-
Stochastic bias correction for RADARSAT-2 soil moisture retrieved over vegetated areas
J. Lee et al.
10.1080/10106049.2021.2017009
-
Advances in soil moisture retrieval from synthetic aperture radar and hydrological applications
K. Kornelsen & P. Coulibaly
10.1016/j.jhydrol.2012.10.044
-
Refining a Polarimetric Decomposition of Multi-Angular UAVSAR Time Series for Soil Moisture Retrieval Over Low and High Vegetated Agricultural Fields
H. Wang et al.
10.1109/JSTARS.2019.2909984
-
Estimation of soil organic carbon by combining hyperspectral and radar remote sensing to reduce coupling effects of soil surface moisture and roughness
R. Jiang et al.
10.1016/j.geoderma.2024.116874
-
Surface soil moisture retrieval based on transfer learning using SAR data on a local scale
E. Hemmati & M. Sahebi
10.1080/01431161.2024.2329529
-
Sensitive Feature Evaluation for Soil Moisture Retrieval Based on Multi-Source Remote Sensing Data with Few In-Situ Measurements: A Case Study of the Continental U.S.
L. Zhang et al.
10.3390/w13152003
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