Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3707-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-3707-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
29 Jul 2021
Data description paper |
| 29 Jul 2021
| 29 Jul 2021
C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco)
Nadia Ouaadi
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
CESBIO, University of Toulouse, IRD/CNRS/UPS/CNES, Toulouse, France
Jamal Ezzahar
CORRESPONDING AUTHOR
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
Saïd Khabba
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
Salah Er-Raki
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
ProcEDE, Department of Applied Physics, Faculty of Sciences and
Technologies, Cadi Ayyad University, Marrakech, Morocco
Adnane Chakir
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
Bouchra Ait Hssaine
CRSA, Mohammed VI Polytechnic University UM6P, Benguerir, Morocco
Valérie Le Dantec
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
Zoubair Rafi
LMFE, Department of Physics, Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco
CESBIO, University of Toulouse, IRD/CNRS/UPS/CNES, Toulouse, France
Antoine Beaumont
Atmo Hauts-de-France, Lille, France
Mohamed Kasbani
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
Lionel Jarlan
MISCOM, National School of Applied Sciences, Cadi Ayyad University,
Safi, Morocco
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Cited
10 citations as recorded by crossref.
- Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient? N. Ouaadi et al. 10.1016/j.agwat.2023.108276
- Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain E. Ayari et al. 10.1080/22797254.2023.2260555
- A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data N. Ojha et al. 10.3390/s21217406
- Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models J. Ezzahar et al. 10.1109/JSTARS.2023.3339616
- Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles G. Caballero et al. 10.3390/rs14225867
- Assessing the Impact of Nitrogen Fertilization, Variety Selection, Year and Their Interaction on Wheat Yield and Yield Components O. Hnizil et al. 10.3390/nitrogen5020018
- A New Methodology for Wheat Attenuation Correction at C-Band VV-Polarized Backscatter Time Series M. Arias et al. 10.1109/TGRS.2022.3176144
- Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations N. Ouaadi et al. 10.1016/j.rse.2024.114059
- Improvement of the Soil Moisture Retrieval Procedure Based on the Integration of UAV Photogrammetry and Satellite Remote Sensing Information A. Chakhar et al. 10.3390/rs13244968
- C-band radar data and in situ measurements for the monitoring of wheat crops in a semi-arid area (center of Morocco) N. Ouaadi et al. 10.5194/essd-13-3707-2021
9 citations as recorded by crossref.
- Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient? N. Ouaadi et al. 10.1016/j.agwat.2023.108276
- Sensitivity of surface soil moisture retrieval to satellite-derived vegetation descriptors over wheat fields in the Kairouan plain E. Ayari et al. 10.1080/22797254.2023.2260555
- A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data N. Ojha et al. 10.3390/s21217406
- Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models J. Ezzahar et al. 10.1109/JSTARS.2023.3339616
- Quantifying Irrigated Winter Wheat LAI in Argentina Using Multiple Sentinel-1 Incidence Angles G. Caballero et al. 10.3390/rs14225867
- Assessing the Impact of Nitrogen Fertilization, Variety Selection, Year and Their Interaction on Wheat Yield and Yield Components O. Hnizil et al. 10.3390/nitrogen5020018
- A New Methodology for Wheat Attenuation Correction at C-Band VV-Polarized Backscatter Time Series M. Arias et al. 10.1109/TGRS.2022.3176144
- Temporal decorrelation of C-band radar data over wheat in a semi-arid area using sub-daily tower-based observations N. Ouaadi et al. 10.1016/j.rse.2024.114059
- Improvement of the Soil Moisture Retrieval Procedure Based on the Integration of UAV Photogrammetry and Satellite Remote Sensing Information A. Chakhar et al. 10.3390/rs13244968
Latest update: 19 Apr 2024
Short summary
In this paper, a radar remote sensing database composed of processed Sentinel-1 products and field measurements of soil and vegetation characteristics, weather data, and irrigation water inputs is described. The data set was collected over 3 years (2016–2019) in three drip-irrigated wheat fields in the center of Morocco. It is dedicated to radar data analysis over vegetated surface including the retrieval of soil and vegetation characteristics.
In this paper, a radar remote sensing database composed of processed Sentinel-1 products and...
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