A5028809124- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Climate variability and models
- Hydrology and Drought Analysis
- Irrigation Practices and Water Management
- Urban Heat Island Mitigation
- Climate change impacts on agriculture
- Groundwater and Isotope Geochemistry
- Soil Moisture and Remote Sensing
- Groundwater and Watershed Analysis
- Cryospheric studies and observations
- Flood Risk Assessment and Management
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Soil and Unsaturated Flow
- Soil erosion and sediment transport
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Greenhouse Technology and Climate Control
- Land Use and Ecosystem Services
- Climate change and permafrost
- Remote Sensing and Land Use
- Geological and Geophysical Studies Worldwide
- Hydrological Forecasting Using AI
Université Mohammed VI Polytechnique
2019-2025
Centre d'Études Spatiales de la Biosphère
2015-2025
Université Toulouse III - Paul Sabatier
2010-2025
Institut de Recherche pour le Développement
2014-2025
Centre National de la Recherche Scientifique
2011-2025
Université de Toulouse
2011-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2020-2024
Royal Centre for Remote Sensing
2020-2024
Sup de Co Marrakech
2006-2022
Cadi Ayyad University
2004-2022
Climate change has devastating impacts on agriculture, increasing the yield gap for most crops, especially in developing nations. This is likely to worsen food insecurity some countries, calling efforts close as much possible. Estimating and its drivers essential devising strategies increase yields. study quantifies wheat Morocco's five major production regions. It analyzes historical sensitivity of temperature, precipitation, soil moisture, which are important factors affecting agricultural...
A time series of eight high‐resolution Landsat TM images, ranging over the crop season, has been acquired an irrigated area in central Morocco. From this series, a Normalized Difference Vegetation Index (NDVI) profile was generated for each pixel. In order to get significant profiles, images were radiometrically corrected, first, using invariant objects located on scene, based visual observation and second, reflectance these objects, estimated from previously corrected image. following step,...
Abstract. The present paper proposes a method for the evaluation of soil evaporation, using moisture estimations based on radar satellite measurements. We firstly an approach estimation and monitoring in semi-arid region North Africa, ENVISAT ASAR images, over two types vegetation covers. first mapping process is dedicated solely to variability related rainfall events, areas "non-irrigated olive tree" class land use. developed simple linear relationship between backscattered signal...
In arid and semi-arid areas, rainfall is often characterized by a strong spatial temporal variability. These environmental factors, combined with the sparsity of measurement networks in developing countries, constitute real constraints for water resources management. recent years, several sources have become available, such as TRMM data (Tropical Rainfall Measurement Mission). this study, 3B42 Version 7 product was evaluated using rain gauges measurements from 19 stations Oum-Er-Bia (OER)...
Abstract In this study, we evaluate trends in precipitation and temperature their related extreme indices Morocco based on a set of National Climate Monitoring Products defined the by commission for climatology WMO. We use daily precipitation, maximum minimum data from 30 meteorological stations distributed throughout country covering period 1960 to 2016. Statistically significant increasing warm events tendency towards decreasing cold extremes at both daytime night are depicted across...
Quickly and correctly mapping soil nutrients significantly impact accurate fertilization, food security, productivity, sustainable agricultural development. We evaluated the potential of new PRISMA hyperspectral sensor for organic matter (SOM), available phosphorus (P2O5), potassium (K2O) content over a cultivated area in Khouribga, northern Morocco. These were estimated using (i) random forest (RF) algorithm based on feature selection methods, including subset evaluation ranking methods...
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...
Daily hydrological modelling is among the most challenging tasks in water resource management, particularly terms of streamflow prediction semi-arid areas. Various methods were applied order to deal with this complex phenomenon, but recently data-driven models have taken a better space, given their ability solve problems time series. In study, we employed Long Short-Term Memory (LSTM) network simulate daily over Ait Ouchene watershed (AIO) Oum Er-Rbia river basin Morocco, based on temporal...
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...
The upstream part of the Essaouira basin, a data-scare region in Morocco, Northwestern Africa. scarcity hydro-climate data is significant challenge found several regions worldwide, where qualitative and quantitative water resource information remains limited. Estimating predicting groundwater levels (GWL) such areas producing knowledge for effective management. To address this issue, present study aimed to use Soil Water Assessment Tool (SWAT) model conjunction with downscaled total storage...
The downstream part of the Essaouira basin, Morocco, Northwestern Africa. This study combines multivariate statistical analyses, stable isotopes, hydrogeochemical, hydrogeological, geological and remotely sensed data to gain a better understanding hydrological groundwater salinization processes in coastal aquifer. Hydrogeochemical from 223 samples as well isotope collected during 10 sampling campaigns between 1990 2020 were compiled subjected comprehensive analysis. Groundwater recharge...
Analysis of the temporal relationship between meteorological drought and hydrological is crucial in monitoring water resource availability. This study examined linear lagged relationships spread to their joint effects on low-flow variability Oum Er-Rbia (OER) watershed. To this end, random forest (RF) model statistical methods were used characteristics indices at monthly, seasonal, annual scales. The various analyses revealed that mainly a function time scale considered, choice describe each...