A5053743538- Plant Water Relations and Carbon Dynamics
- Irrigation Practices and Water Management
- Soil Moisture and Remote Sensing
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Climate change impacts on agriculture
- Greenhouse Technology and Climate Control
- Precipitation Measurement and Analysis
- Soil and Unsaturated Flow
- Hydrology and Drought Analysis
- Urban Heat Island Mitigation
- Climate variability and models
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Soil erosion and sediment transport
- Meteorological Phenomena and Simulations
- Remote Sensing and Land Use
- Solar Radiation and Photovoltaics
- Leaf Properties and Growth Measurement
- Water resources management and optimization
- Remote Sensing and LiDAR Applications
- Flood Risk Assessment and Management
- Agriculture and Rural Development Research
- Land Use and Ecosystem Services
- Hydrological Forecasting Using AI
- Horticultural and Viticultural Research
Cadi Ayyad University
2016-2025
Université Mohammed VI Polytechnique
2019-2024
Royal Centre for Remote Sensing
2024
Center For Remote Sensing (United States)
2020
Centre d'Études Spatiales de la Biosphère
2020
Institut de Recherche pour le Développement
2020
Sup de Co Marrakech
2005-2019
Laboratoire de Mathématiques d'Orsay
2001
Abstract The present work aims to quantify the impact of climate change (CC) on grain yields irrigated cereals and their water requirements in Tensift region Morocco. Med-CORDEX (MEDiterranean COordinated Regional Climate Downscaling EXperiment) ensemble runs under scenarios RCP4.5 (Representative Concentration Pathway) RCP8.5 are first evaluated disaggregated using quantile-quantile approach. CC duration main wheat phenological stages based degree-day approach is then analyzed. results show...
Monitoring of water resources and a better understanding the eco-hydrological processes governing their dynamics are necessary to anticipate develop measures adapt climate water-use changes. Focusing on this aim, research project carried out within framework French–Moroccan cooperation demonstrated how remote sensing can help improve monitoring modelling in semi-arid Mediterranean regions. The study area is Tensift Basin located near Marrakech (Morocco) – typical Southern catchment with...
The main objective of this work was to retrieve surface soil moisture (SSM) by using scattering models and a support vector machine (SVM) technique driven backscattering coefficients obtained from Sentinel-1 satellite images acquired over bare agricultural in the Tensfit basin Morocco. Two were selected study due their wide use inversion procedures: theoretical integral equation model (IEM) semi-empirical (Oh). To end, sensitivity SAR at V ( σ v ∘ ) H h polarizations situ data analyzed...
Accurate seasonal forecasting of cereal yields is an important decision support tool for countries, such as Morocco, that are not self-sufficient in order to predict, early possible, importation needs. This study aims develop model (soft wheat, barley and durum wheat) at the scale agricultural province considering 15 most productive over 2000–2017 (i.e., × 18 = 270 values). To this objective, we built on previous works showed a tight linkage between various datasets including weather data...
Smart management of weather data is an essential step toward implementing sustainability and precision in agriculture. It represents important input for numerous tasks, such as crop growth, development, yield, irrigation scheduling, to name a few. Advances technology allow collecting this from heterogeneous sources with high temporal resolution at low cost. Generating using these their raw form makes no sense, therefore adequate infrastructure tools necessary. For that purpose, paper...
In mountainous regions, the scarcity of air temperature (Ta) measurements is a major limitation for hydrological and crop monitoring. An alternative to in situ could be downscale reanalysis Ta data provided at high-temporal resolution. However, relatively coarse spatial resolution these products (i.e., 9 km ERA5-Land) unlikely directly representative actual local patterns. To address this issue, study presents new downscaling strategy hourly ERA5-Land with three-step procedure. First, ERA5...
Recent efforts have been concentrated in the development of models to understand and predict impact environmental changes on hydrological cycle water resources arid semi‐arid regions. In this context, remote sensing data widely used initialize, force, or control simulations these models. However, for several reasons, including difficulty establishing relationships between observational model variables, potential offered by satellite has not fully used. As a matter fact, few studies that use...
Data disaggregation (or downscaling) is becoming a recognized modeling framework to improve the spatial resolution of available surface soil moisture satellite products. However, depending on quality scale change and uncertainty in its input data, may or degrade information at high resolution. Hence, defining relevant metric for evaluating such methodologies crucial before disaggregated data can be eventually used fine-scale studies. In this paper, new metric, named GDOWN, proposed assess...
Abstract A meta‐analysis data‐driven approach is developed to represent the soil evaporative efficiency (SEE) defined as ratio of actual potential evaporation. The new model tested across a bare database composed more than 30 sites around world, clay fraction range 0.02–0.56, sand 0.05–0.92, and about 30,000 acquisition times. SEE modeled using resistance ( r ss ) formulation based on surface moisture θ two parameters efolding . aims express both function observable data including...
In Morocco, cereal production shows high interannual variability due to uncertain rainfall and recurrent drought periods. Considering the socioeconomic importance of for country, there is a serious need characterize impact on yields. this study, assessed through (1) indices derived from remote sensing data (the vegetation condition index (VCI), temperature (TCI), health ind ex (VHI), soil moisture (SMCI) water different layers (SWI)) (2) key land surface variables (Land Area Index (LAI),...
This study aims to evaluate a remote sensing-based approach allow estimation of the temporal and spatial distribution crop evapotranspiration (ET) irrigation water requirements over irrigated areas in semi-arid regions. The method is based on daily step FAO-56 Soil Water Balance model combined with time series basal coefficients fractional vegetation cover derived from high-resolution satellite Normalized Difference Vegetation Index (NDVI) imagery. was first calibrated validated at plot...
An accurate estimate of crop coefficient (Kc) values at different development stages (Kcini, Kcmid, and Kcend) is crucial for assessing water requirements in semi-arid regions. The objectives this study were first to quantify the reference evapotranspiration (ETo) calculate actual (ETa) over citrus a climate under drip irrigation. For purpose, site orchard Souss-Massa, planted with Esbal variety clementine, was equipped an Eddy-Covariance (EC) system, sensors measure radiation, soil heat...