Advances in Remote Sensing

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
www.scirp.net/journal/ars
E-mail: [email protected]
"Improvement of Bare Soil Semi-Empirical Radar Backscattering Models (Oh and Dubois) with SAR Multi-Spectral Satellite Data (X-, C- and L-Bands)"
written by Rémy Fieuzal, Frédéric Baup,
published by Advances in Remote Sensing, Vol.5 No.4, 2016
has been cited by the following article(s):
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[2] Estimation of Multi-Frequency, Multi-Incidence and Multi-Polarization Backscattering Coefficients over Bare Agricultural Soil Using Statistical Algorithms
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[3] Application of sentinel-1 SAR-derived vegetation descriptors for soil moisture retrieval and plant height prediction during the wheat growth cycle
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[4] Synthetic aperture radar polarised backscattering behaviour in partially inundated agricultural fields
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[5] ОЦІНКА ПАРАМЕТРІВ ШОРСТКОСТІ ЗЕМНОЇ ПОВЕРХНІ ЗА ДВОХПОЛЯРИЗАЦІЙНИМ РАДІОЛОКАЦІЙНИМ ВІДБИТТЯМ МЕТОДОМ ЗВОРОТНОГО …
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[6] Evaluation of radar/optical based vegetation descriptors in water cloud model for soil moisture retrieval
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[7] LAND SURFACE ROUGHNESS PARAMETER RETRIEVAL BY INVERSE SIMULATION OF DUAL-POLARIZATION RADAR BACKSCATTERING
APPLIED QUESTIONS …, 2021
[8] Statistical Estimation Of Backscattering Coefficients In X-Band Over Bare Agricultural Soils
2020
[9] Estimation of Surface Soil Moisture at the Intra-Plot Spatial Scale by Using Low and High Incidence Angles TerraSAR-X Images
2020
[10] Use of statistical approach combined with SAR polarimetric indices for surface moisture estimation over bare agricultural soil
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[11] Monitoramento da umidade do solo por radar de abertura sintética embarcado em drone
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