Remote sensing data proved to be a valuable resource in variety of earth science applications. Using high-dimensional with advanced methods such as machine learning algorithms (MLAs), sub-domain artificial intelligence, enhances lithological mapping by spectral classification. Support vector machines (SVM) are one the most popular MLAs ability define non-linear decision boundaries feature space solving quadratic optimization problem. This paper describes supervised classification method...

The advent of digital transformation has redefined the preservation cultural heritage and historic sites through integration Digital Twin technology. Initially developed for industrial applications, Twins are now increasingly employed in conservation as dynamic, replicas physical assets environments. These systems enable detailed, interactive approaches to documentation, management, preservation. This paper presents a detailed framework implementing technology management buildings. By...

This paper shows the efficiency of machine learning for improving land use/cover classification from synthetic aperture radar (SAR) satellite imagery as a tool that can be used in some sub-Saharan countries experience frequent clouds. Indeed, we aimed to map use and cover, especially agricultural areas, using SAR C-band Sentinel-1 (S-1) time-series data over our study area, located Kaffrine region Senegal. We assessed performance processing time three machine-learning classifiers applied on...

Casablanca, Morocco's economic capital continues today to fight against the proliferation of informal settle- ments affecting its urban fabric illustrated especially by slums. Actually Casablanca represents 25% total slums Morocco [1]. These are habitats all deprived healthy sanitary conditions and judged precarious from perspective humanitarian below acceptable. The majority inhabi- tants these rural exodus with insufficient income meet basic needs daily life. Faced this situation eradicate...

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,...

In this era of free and open-access satellite spatial data, modern innovations in cloud computing machine-learning algorithms (MLAs) are transforming how Earth-observation (EO) datasets utilized for geological mapping. This study aims to exploit the potentialities Google Earth Engine (GEE) platform using powerful MLAs. The proposed method is implemented three steps: (1) Based on GEE Sentinel 2A imagery (spectral textural features), that cover 1283 km2 area, a variety lithological maps...

The vulnerability map is a fondamental document for the development of territory. It basically allows you to guide siting projects that may have negative impact on quality groundwater resources. Geographic Information Systems are powerful tools choice maps aquifers, they facilitate multicriteria analysis and updated models developed. Given strategic role underground water Berrechid in economic social region Bouregreg-chaouia, development, we proceeded develop this area by exploiting features...

With the rapid rate of population growth and economic development, cities face enormous challenges that require both optimal integrated solutions to meet needs protect environment sustainable development. These urban dynamics, which change over time, extend not only horizontally upward, but also downward. Thus, underground space has been utilized increasingly relieve surface ensure exploitation resources. The purpose this study is evaluate possibilities using in Casablanca as part land-use...

Remotely sensed data has become an effective, operative and applicable tool that provide critical support for geological surveys studies by reducing the costs increasing precision. Advances in remote-sensing analysis methods, like machine learning algorithms, allow easy impartial mapping. This study aims to carry out a rigorous comparison of performance three supervised classification methods: Random Forest, k-Nearest Neighbor maximum likelihood using remote sensing additional information...

Abstract. The Rif is among the areas of Morocco most susceptible to landslides, because existence relatively young reliefs marked by a very important dynamics compared other regions. These landslides are one serious problems on many levels: social, economic and environmental. increase in frequency impact over past decade has demonstrated need for an in-depth study these phenomena, allowing identification landslides. main objective this identify optimal method mapping area municipality Oudka....

Mapping lithological units of an area using remote sensing data can be broadly grouped into pixel-based (PBIA), sub-pixel based (SPBIA) and object-based (GEOBIA) image analysis approaches. Since it is not only the datasets adequacy but also correct classification selection that influences mapping. This research intended to analyze evaluate efficiency these three approaches for mapping in semi-arid areas, by Sentinel-2A many algorithms enhancement spectral analysis, particular two specialized...

ABSTRACT Landslide susceptibility indices were calculated and landslide maps generated for the Oudka, Morocco, study area using a geographic information system. The spatial database included current location, topography, soil, hydrology, lithology, eight factors related to landslides (elevation, slope, aspect, distance streams, roads, faults, Normalized Difference Vegetation Index [NDVI]) or extracted. Logistic regression (LR), multivariate adaptive spline (MARSpline), Artificial Neural...

Land surface displacement caused by landslides is among the most damaging phenomena in northern Morocco. In this paper, we measure ground deformation Chefchaouen area which a zone characterized geological formations and structurally complex losses that promote instability (landslide, mudflow, block falls, etc.) leading to slow extremely phenomena, require an interferometric study, using DinSAR (differential synthetic Aperture Radar) technique with sentinel 1 images bance C, powerful tool for...

Geological mapping plays a very important role in the exploration of oil, mineral and water resources, as well identifying monitoring natural hazards. It is an indispensable means for economic development country. Remote sensing data provides critical support by reducing costs increasing precision. This research work evaluates use Random Forests, supervised machine learning algorithm, geological Msaidira-Souk Al Had region, part sidi Ifni inlier situated southern Morocco. By integrating...

An extensive range of remote sensing-based approaches has been used to lithological mapping in conjunction with multispectral satellite imagery. Thus, this study focuses on and comparing thematic classification methods lithologies using Sentinel 2 imagery the southern Skhour Rehamna. First, Pixel-Based Image analysis (PBIA) techniques were evaluated, particularly, RF K-NN machine learning algorithms (MLAs), both generalized maps that is characterized "salt pepper" noise misclassified pixels...

Abstract. Studies on the change in occupation and land-use are of great importance order to understand landscape dynamics process agricultural land degradation, urbanization, desertification, deforestation all global a region. The most effective procedure measure degree land-cover changes is multi-date study. For this purpose, aim work analyze current evolution (LULC) using remote sensing techniques, better evolution. diachronic approach applied satellite images acquired 1987 2018 Ma’rib...

21Dec 2017 ESSAI DE CARTOGRAPHIE LA SUBERAIE ET FORMATIONS DEGRADATION DANS PROVINCE BENSLIMANE (OUEST DU MAROC). APPORT DES DONNEES TELEDETECTION OPTIQUE. Bouchra Rachdi , Wadi Badri Mustapha Hakdaoui Ahmed El Aboudi Mohammed Hsaine and Hassan Fougrach. Laboratoire d?Ecologie et d?Environnement, Facult? des Sciences Ben M?sik, Universit? II de Casablanca-Maroc. G?ologie Appliqu?e, G?omatique Environnement, M?Sik, Botanique, mycologie environnement, Sciences, V-Agdal, Rabat-Maroc.