Shamsudeen Temitope Yekeen

University of Guelph | UOGuelph · Department of Geography Environment and Geomatics

This book in two Volumes and with a FOREWORD by the renowned Professor M.A.J. Williams draws on evidence from coastal and inland regions, including desert dunes, wind-blown dust, river and lake sediments, glacial moraines, plant and animal fossils, isotope geochemistry, soils and prehistoric archaeology to better understand the genesis and developm...

Climate change has been and is still affecting every region in Europe, with varying impacts across the continent. While some cities are generally resilient to CC impacts, other cities are not necessarily as fortunate. Promoting policies that build resilience enhances cities' capabilities to cope with acute shocks and chronic stresses, adapt well to...

This study develops an Adaboost-GIS model for flood susceptibility mapping and evaluates its relative performance by undertaking a comparative assessment of the machine learning model with Multi-Criteria Decision Making (MCDM) and soft computing models integrated with GIS. An Analytic Hierarchy Process (AHP), Analytic Network Process (ANP), Fuzzy-A...

The study aims to determine Total Petroleum Hydrocarbon (TPH) status in seawater from Teluk Batik beach seawater. In July 2018, fishing vessel sunk two nautical miles off Pematang Damar Laut, a coastal village within the town of George Town, Penang Malaysia, which also impacted the coastline of Perak State. Approximately six tons of diesel and hund...

In this study, we developed multiple hybrid machine-learning models to address parameter optimization limitations and enhance the spatial prediction of landslide susceptibility models. We created a geographic information system database, and our analysis results were used to prepare a landslide inventory map containing 359 landslide events identifi...

The study aims to determine Total Petroleum Hydrocarbon (TPH) status in seawater from Teluk Batik beach seawater. In July 2018, fishing vessel sunk two nautical miles off Pematang Damar Laut, a coastal village within the town of George Town, Penang Malaysia, which also impacted the coastline of Perak State. Approximately six tons of diesel and hund...

This study develops an oil spill environmental vulnerability model for predicting and mapping the oil slick trajectory pattern in Kota Tinggi, Malaysia. The impact of seasonal variations on the vulnerability of the coastal resources to oil spill was modelled by estimating the quantity of coastal resources affected across three climatic seasons (nor...

Although advancements in remote sensing technology have facilitated quick capture and identification of the source and location of oil spills in water bodies, the presence of other biogenic elements (lookalikes) with similar visual attributes hinder rapid detection and prompt decision making for emergency response. To date, different methods have b...

This study proposes an integrated Geographic Information System (GIS) Fuzzy Multi Criteria Decision Making (F MCDM) model to assess the impacts of flood on residential property prices. Triangular Fuzzy numbers was implemented to address limitations such as uncertainty, bias and ambiguity inherent in the conventional Analytic Network Process (ANP) f...

This study developed a novel deep learning oil spill instance segmentation model using Mask-Region-based Convolutional Neural Network (Mask R-CNN) model which is a state-of-the-art computer vision model. A total of 2882 imageries containing oil spill, look-alike, ship, and land area after conducting different pre-processing activities were acquired...

The visual similarity of oil slick and other elements, known as look-alike, affects the reliability of synthetic aperture radar (SAR) images for marine oil spill detection. So far, detection and discrimination of oil spill and look-alike are still limited to the use of traditional machine learning algorithms and semantic segmentation deep learning...

Oil spills are a global phenomenon with impacts that cut across socio-economic, health, and environmental dimensions of the coastal ecosystem. However, comprehensive assessment of oil spill impacts and selection of appropriate remediation approaches have been restricted due to reliance on laboratory experiments which offer limited area coverage and...