A5008981423- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Urban Heat Island Mitigation
- Remote Sensing and Land Use
- Climate variability and models
- Hydrology and Watershed Management Studies
- African Botany and Ecology Studies
- Flood Risk Assessment and Management
- Solar Radiation and Photovoltaics
- Meteorological Phenomena and Simulations
- Hydrological Forecasting Using AI
- Hydrology and Drought Analysis
- Remote-Sensing Image Classification
- Greenhouse Technology and Climate Control
- Irrigation Practices and Water Management
- Nuts composition and effects
- Land Use and Ecosystem Services
- Water resources management and optimization
- Soil Moisture and Remote Sensing
- Climate change and permafrost
- Cryospheric studies and observations
- Smart Agriculture and AI
- Climate change impacts on agriculture
- Spectroscopy and Chemometric Analyses
Centre National de la Recherche Scientifique
2021-2025
Université Toulouse III - Paul Sabatier
2021-2025
Institut de Recherche pour le Développement
2021-2025
Université de Toulouse
2022-2025
Centre d'Études Spatiales de la Biosphère
2021-2025
Université Mohammed VI Polytechnique
2021-2024
Cadi Ayyad University
2019-2020
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...
Clean weather time series is the primary ingredient for successful modeling of any process in soil-plant-atmosphere continuum. However, measured meteorological data are often associated with gaps due to various reasons, such as eventual sensor malfunctioning, power outages, and transmission errors. Thus, needs be quality-controlled prior further processing. To this end, we developed a Python framework that automatically detects missing values uses ERA5-Land reanalysis machine learning fill...
Argania spinosa also known as the argan tree is an endemic plant of Morocco. Despite having ability to subsist in extreme drought conditions, it threatened by soil land clearing, overexploitation, and absence natural regeneration, causing a worrying decline both spatial extent density. The dryland forests debated, estimates forest areas drylands are uncertain. present study aims map locate distribution trees at Smimou community located Essaouira province, south-eastern Morocco, using...
With the recent launch of Sentinel-2, possibilities image analysis increased especially in field land cover and crops mapping. The identification different crop types is important particularly for agricultural management water resource monitoring. This paper aims to select a limited number acquisition dates, from Sentinel-2 time series, improve accuracy mapping method Haouz plain Marrakech, Morocco. First, collected reference data was exploited build phenological shifts present area...
For semi-arid ecosystems, the remote sensing based crop type classification is often hampered by heterogeneous agricultural landscapes with mixed crops and small scale land use. Under these complicated conditions, use of high spatio-temporal satellite time series data can improve results. In this context, Sentinel-2 for Agriculture (Sen2Agri) provides an open source processing system to exploit imagery in operational way monitoring. This research was conducted explore evaluate potentiality...
Morocco often faces significant intense rainfall periods that can generate flash floods and raging torrents, causing serious damage in a very short period of time. This study aims to monitor wetland areas after flash-flood event an arid region, Saquia El hamra Saharan Morocco, using technique combines hydraulic modeling remote sensing technology, namely satellite images. The hydrological parameters the watershed were determined by WMS software. Flood flow was modeled simulated HEC HMS...
Abstract. Great effort has been recently employed for the development of a modern and competitive agriculture in Morocco, growth agricultural sector is determined largely through realization thousands new projects, support smallholder farmers at national scale. Modernization irrigation systems, enlargement extent spatial distribution irrigated areas holds key to increase annual productions. In this context, we established unique procedure monitoring surfaces not fully exploited terms...
Accurate evapotranspiration (ET) estimates in mountainous regions are needed for better understanding the hydrological cycle and managing water resources within watersheds. However, complex topography of these areas can have significant effects on ET, making it challenging to monitor at all scales. In this study, we sought improve accuracy thermal remote sensing-based ET High Atlas region Morocco by taking into account effect topography. To do this, used two models, both driven LANDSAT...
<p>Due to its arid semi-arid climate, Morocco often faces significant intense rainfall periods that can generate flash floods and raging torrents causing serious damage in a very short period of time. In this context, these recent years, the watershed corresponding SAKIA EL HAMRA wadi has known devastating downpours excessive heavy rains caused severe Laayoune city regions.</p><p>The Sakia El Hamra covers an area 82000...