What is he best known for?
The fields of study he is best known for:
- Remote sensing
- Statistics
- Optics
The scientist’s investigation covers issues in Remote sensing, Water content, Synthetic aperture radar, Soil water and Moisture.
Mehrez Zribi does research in Remote sensing, focusing on Backscatter specifically.
His studies in Water content integrate themes in fields like Soil science, Soil surface, Mean squared error, Soil texture and Ground truth.
His Synthetic aperture radar research integrates issues from Polarimetry, Wind speed, C band, Hydrology and Normalized Difference Vegetation Index.
Mehrez Zribi works mostly in the field of Soil water, limiting it down to topics relating to Spatial distribution and, in certain cases, Mineralogy, Crust, Soil crust and Monsoon.
His Moisture research is multidisciplinary, relying on both Inversion, Irrigation, Radar backscatter and Potential evaporation.
His most cited work include:
- A new empirical model to retrieve soil moisture and roughness from C-band radar data (277 citations)
- Soil moisture active and passive microwave products : intercomparison and evaluation over a Sahelian site (164 citations)
- Soil moisture estimation from ERS/SAR data: toward an operational methodology (133 citations)
What are the main themes of his work throughout his whole career to date?
Mehrez Zribi mainly focuses on Remote sensing, Water content, Soil science, Synthetic aperture radar and Soil water.
His Remote sensing study integrates concerns from other disciplines, such as Meteorology and Radar imaging.
His Water content research also works with subjects such as
- Moisture which is related to area like Inversion,
- Image resolution and related Change detection.
Mehrez Zribi interconnects X band and Irrigation in the investigation of issues within Soil science.
His work carried out in the field of Synthetic aperture radar brings together such families of science as Mean squared error, Polarimetry and C band.
Soil water is frequently linked to Hydrology in his study.
He most often published in these fields:
- Remote sensing (66.24%)
- Water content (44.05%)
- Soil science (23.15%)
What were the highlights of his more recent work (between 2018-2021)?
- Water content (44.05%)
- Remote sensing (66.24%)
- Soil science (23.15%)
In recent papers he was focusing on the following fields of study:
Mehrez Zribi mainly investigates Water content, Remote sensing, Soil science, Scale and Synthetic aperture radar.
His Water content study combines topics from a wide range of disciplines, such as Change detection, Irrigation, Soil water, Moisture and Normalized Difference Vegetation Index.
His Remote sensing research incorporates themes from Inversion, GNSS applications and Plot.
His biological study spans a wide range of topics, including Leaf area index, Interferometric coherence and Sowing.
His study looks at the relationship between Scale and topics such as Texture, which overlap with 3D optical data storage, Topsoil, Texture mapping and Soil map.
His Synthetic aperture radar study incorporates themes from Random forest and Statistics.
Between 2018 and 2021, his most popular works were:
- Mapping paddy rice using Sentinel-1 SAR time series in Camargue, France (34 citations)
- Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain (20 citations)
- Soil texture estimation using radar and optical data from Sentinel-1 and Sentinel-2 (18 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Optics
- Remote sensing
Mehrez Zribi spends much of his time researching Water content, Synthetic aperture radar, Normalized Difference Vegetation Index, Remote sensing and Hydrology.
His Water content research includes elements of Soil science, Change detection, Vegetation cover, Mean squared error and Scale.
Mehrez Zribi has included themes like Image resolution, Scatterometer, Soil water and Spectroradiometer in his Change detection study.
He combines subjects such as Decision tree and Statistics, Linear regression with his study of Synthetic aperture radar.
Mehrez Zribi focuses mostly in the field of Normalized Difference Vegetation Index, narrowing it down to matters related to Water resources and, in some cases, Anomaly, Predictability, Climatology, Climate change and Agricultural productivity.
His Remote sensing research focuses on Support vector machine and how it connects with 3D optical data storage, Soil texture and Texture.
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