A5091865470- Land Use and Ecosystem Services
- Heavy metals in environment
- Coastal and Marine Dynamics
- Flood Risk Assessment and Management
- Aeolian processes and effects
- Coastal wetland ecosystem dynamics
- Geochemistry and Geologic Mapping
- Soil and Land Suitability Analysis
- Water Quality and Pollution Assessment
- Urban Heat Island Mitigation
- Urban Green Space and Health
- Solar Radiation and Photovoltaics
- Building Energy and Comfort Optimization
- Energy and Environment Impacts
- Remote Sensing in Agriculture
- Coastal and Marine Management
- Hydrological Forecasting Using AI
- Environmental and Social Impact Assessments
- Impact of Light on Environment and Health
- Marine and coastal plant biology
- Tropical and Extratropical Cyclones Research
- Remote Sensing and Land Use
- Hydrology and Watershed Management Studies
- Hybrid Renewable Energy Systems
- Mine drainage and remediation techniques
University of Hassan II Casablanca
2015-2025
Nantes Université
2013-2024
Mohammed V University
2024
Université Sultan Moulay Slimane
2022
Littoral, Environnement, Télédétection, Géomatique
2010-2022
Centre National de la Recherche Scientifique
2022
Institut Universitaire Européen de la Mer
2010
Cities worldwide are attempting to be labelled as smart, but truly classifying such remains a great challenge. This study aims use artificial intelligence (AI) classify the performance of smart cities and identify factors linked their smartness. Based on residents’ perceptions urban structures technological applications, this included 200 globally. For 147 cities, we gathered 120 residents per city through survey 39 questions covering two main pillars: ‘Structures’, referring existing...
In the 21st century, tackling climate change is an important challenge, and absorption of CO2 via urban greening employing photosynthesis offers a potential answer to issue. Within this work, city Nador chosen as case study. The initiative in question proposes enhanced technique focused on estimating advantages terms carbon storage sequestration. This combines use Geographic Information Systems (GIS) tools InVEST model, enabling study land cover (LULC) scenarios within location. These...
This study provides an integrated approach using geographical information system (GIS) based on a multi-criteria (MCDA) to assess coastal vulnerability, resulting from human activity, population density, erosion, and climate change-induced sea level rise. A vulnerability index (CVI) for erosion floods was calculated mapped (∼24 km in length; ∼400 m width, 11.47 km2 surface) the lagoon barrier of Nador located Mediterranean coast Morocco. Results suggest that 54% (∼13 km) shoreline is...
Abstract Storms can cause significant damage, severe social disturbance and loss of human life, but predicting them is challenging due to their infrequent occurrence. To overcome this problem, a novel deep learning machine approach based on long short-term memory (LSTM) Extreme Gradient Boosting (XGBoost) was applied predict storm characteristics occurrence in Western France. A combination data from buoys database between 1996 2020 processed for model training testing. The models were...
Abstract. Currently there is a public awareness to protect the environment especially forest ecosystems and fire dilemma has become topic of intense research around world. In this setting, study evaluates susceptibility (FFS) in northern Morocco using three geographic information system (GIS) based on machine learning algorithms: XGBoost (XGB), Random Forest (RF), Support Vector Machine (SVM). To effect, Geographic Information System database was developed involving ten independent causal...
This paper presents an integrated method to assess the vulnerability of coastal risks by applying Fuzzy Analytic Hierarchy Process (FAHP) and spatial analysis techniques with a geographic information system (GIS). The coast Mohammedia, located in Morocco, was chosen as study site implement validate proposed framework GIS-FAHP-based methodology. Coastal risk mapping reflects multi-parametric causative factors such sea level rise, significan twave height, tidal range, shoreline evolution,...
An updated assessment of land sensitivity to desertification is essential for comprehensive planning and preparation action plans. In this study, modified Mediterranean use (MEDALUS) method by employing a fuzzy inference system in GIS environment was used identify environmentally sensitive areas (ESA) the Drader basin Morocco. Anthropogenic Biophysical parameters (17 parameters) have been integrated processed geographic information systems obtaining climate, water, soil, vegetation...
Abstract. In recent decades, many of the countries around world as well south-western Morocco (Guelmim region, Assaka watershed), was subject to flood-storm causing huge human and material damages. The current study focuses on Prediction flash flood susceptibility using Fuzzy Analytical Hierarchy Process (FAHP) algorithms Geographic Information System (GIS) technical. Flash floods areas were identified based seven conditioning factors (Soil Moisture Index (SMI), Drainage Density, Rainfall,...
Abstract. Since the industrial revolution, world is experiencing a huge change in its climate, which causes many imbalances such as flash floods (FF). The aim of this study to propose new approach for detection and forecasting flood susceptibility city Tetouan, Morocco. For regard, support vector machine (SVM), logistic regression (LR), random forest (RF), Naïve Bayes (NB) Artificial neural network (ANN) are used based on 1101 points (680 421 non-flood points) 9 flash-flood predictors...
This paper examines the use of image-to-image translation models to colorize grayscale satellite images for improved built-up segmentation Agadir, Morocco, in 1967 and Les Sables-d’Olonne, France, 1975. The proposed method applies advanced colorization techniques historical remote sensing data, enhancing process compared using original images. In this study, spatial data such as Landsat 5TM declassified were collected prepared analysis. trained validated RGB their corresponding versions....
Abstract. Geological mapping in desert, mountainous or densely vegetated areas are sometimes faced with many constraints. Recently several remote sensing methods used on ASTER LANDSAT imagery for making that task easier. The aim of this paper is to evaluate the applicability some these Sentinel-2A images. study, therefore, focuses a lithological classification using multispectral images south Tafilalet basin. To achieve goal, two L1C level were used. Decorelation stretch combined optimal...