Articles | Volume 16, issue 6
https://doi.org/10.5194/hess-16-1607-2012
https://doi.org/10.5194/hess-16-1607-2012
Research article
 | 
04 Jun 2012
Research article |  | 04 Jun 2012

Estimation of soil parameters over bare agriculture areas from C-band polarimetric SAR data using neural networks

N. Baghdadi, R. Cresson, M. El Hajj, R. Ludwig, and I. La Jeunesse

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Remote Sensing and GIS
Monitoring the combined effects of drought and salinity stress on crops using remote sensing in the Netherlands
Wen Wen, Joris Timmermans, Qi Chen, and Peter M. van Bodegom
Hydrol. Earth Syst. Sci., 26, 4537–4552, https://doi.org/10.5194/hess-26-4537-2022,https://doi.org/10.5194/hess-26-4537-2022, 2022
Short summary
A framework for irrigation performance assessment using WaPOR data: the case of a sugarcane estate in Mozambique
Abebe D. Chukalla, Marloes L. Mul, Pieter van der Zaag, Gerardo van Halsema, Evaristo Mubaya, Esperança Muchanga, Nadja den Besten, and Poolad Karimi
Hydrol. Earth Syst. Sci., 26, 2759–2778, https://doi.org/10.5194/hess-26-2759-2022,https://doi.org/10.5194/hess-26-2759-2022, 2022
Short summary
Satellite observations reveal 13 years of reservoir filling strategies, operating rules, and hydrological alterations in the Upper Mekong River basin
Dung Trung Vu, Thanh Duc Dang, Stefano Galelli, and Faisal Hossain
Hydrol. Earth Syst. Sci., 26, 2345–2364, https://doi.org/10.5194/hess-26-2345-2022,https://doi.org/10.5194/hess-26-2345-2022, 2022
Short summary
Satellite soil moisture data assimilation for improved operational continental water balance prediction
Siyuan Tian, Luigi J. Renzullo, Robert C. Pipunic, Julien Lerat, Wendy Sharples, and Chantal Donnelly
Hydrol. Earth Syst. Sci., 25, 4567–4584, https://doi.org/10.5194/hess-25-4567-2021,https://doi.org/10.5194/hess-25-4567-2021, 2021
Short summary
Mapping groundwater abstractions from irrigated agriculture: big data, inverse modeling, and a satellite–model fusion approach
Oliver Miguel López Valencia, Kasper Johansen, Bruno José Luis Aragón Solorio, Ting Li, Rasmus Houborg, Yoann Malbeteau, Samer AlMashharawi, Muhammad Umer Altaf, Essam Mohammed Fallatah, Hari Prasad Dasari, Ibrahim Hoteit, and Matthew Francis McCabe
Hydrol. Earth Syst. Sci., 24, 5251–5277, https://doi.org/10.5194/hess-24-5251-2020,https://doi.org/10.5194/hess-24-5251-2020, 2020
Short summary

Cited articles

Alvarez-Mozos, J., Casali, J., Gonzalez-Audicana, M., and Verhoest, N. E. C.: Assessment of the operational applicability of RADARSAT-1 data for surface soil moisture estimation, IEEE T. Geosci. Remote Se., 44, 913–924, 2006.
Alvarez-Mozos, J., Verhoest, N. E. C., Larranaga, A., Casali, J., and Gonzalez-Audicana, M.: Influence of surface roughness spatial variability and temporal dynamics on the retrieval of soil moisture from SAR observations, Sensors, 9, 463–489, https://doi.org/10.3390/s90100463, 2009.
Atkinson, P. M. and Tatnall, A. R. L.: Neural networks in remote sensing: introduction, Int. J. Remote Se., 18, 699–709, 1997.
Baghdadi, N., Gaultier, S., and King, C.: Retrieving surface roughness and soil moisture from SAR data using neural networks, Can. J. Remote Sens., 28, 701–711, 2002a.
Baghdadi, N., King, C., Bourguignon, A., and Remond, A.: Potential of ERS and RADARSAT data for surface roughness monitoring over bare agricultural fields : application to catchments in Northern France, Int. J. {Remote Sens.,} 23, 3427–3442, 2002b.
Download