Results 11 to 20 of about 35,061 (168)

New Method for Automated Quantification of Vertical Spatio-Temporal Changes within Gully Cross-Sections Based on Very-High-Resolution Models

Remote Sensing, 2021
Gully erosion is one of the most prominent natural denudation processes of the Mediterranean. It causes significant soil degradation and sediment yield.
Ante Šiljeg, Fran Domazetović, Ivan Marić, Nina Lončar, Lovre Panđa   +4 more
doaj   +1 more source

AUTOMATED MARINE OIL SPILL DETECTION USING DEEP LEARNING INSTANCE SEGMENTATION MODEL [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
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.
S. T. Yekeen, A.-L. Balogun
doaj   +1 more source

DEVELOPING AN EMERGENCY RESPONSE MODEL FOR OFFSHORE OIL SPILL DISASTER MANAGEMENT USING SPATIAL DECISION SUPPORT SYSTEM (SDSS) [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Environmental resources face severe risks during offshore oil spill disasters and Geographic Information System (GIS) Environmental Sensitivity Index (ESI) maps are increasingly being used as response tools to minimize the huge impacts of these spills ...
A.-L. Balogun, A.-N. Matori, K. W. Toh Kiak   +2 more
doaj   +1 more source

Sea level prediction using ARIMA, SVR and LSTM neural network: assessing the impact of ensemble Ocean-Atmospheric processes on models’ accuracy

Geomatics, Natural Hazards & Risk, 2021
This study aims to integrate a broad spectrum of ocean-atmospheric variables to predict sea level variation along West Peninsular Malaysia coastline using machine learning and deep learning techniques.
Abdul-Lateef Balogun, Naheem Adebisi
doaj   +1 more source

Digitalization for transformative urbanization, climate change adaptation, and sustainable farming in Africa: trend, opportunities, and challenges

Journal of Integrative Environmental Sciences, 2022
In sub-Saharan Africa, mass rural-urban migration negatively affectthe agriculture sector that accounts for about 23% of the GDP and employs over 60% of the population.
Abdul-Lateef Balogun, Naheem Adebisi, Ismaila Rimi Abubakar, Umar Lawal Dano, Abdulwaheed Tella   +4 more
doaj   +1 more source

Refining National Forest Cover Data Based on Fusion Optical Satellite Imageries in Indonesia

International Journal of Forestry Research, 2023
Precision mapping towards tropical forest cover data is critical to address the global climate crisis, such as land-based carbon measurement and potential conservation areas identification.
Ogy Dwi Aulia, Isnenti Apriani, Andi Juanda, Mufti Fathul Barri, Rosima Wati Dewi, Fauzan Nafis Muharam, Bryandanu Oktanine, Theresia Bernadette Phoa, Aryo Adhi Condro   +8 more
doaj   +1 more source

The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

Geospatial Health, 2023
This study described spatiotemporal changes in health insurance coverage, healthcare access, and reasons for non-insurance among racial/ethnic minority populations in the United States during the COVID-19 pandemic using four national survey datasets ...
Lauren Freelander, David S. Rickless, Corey Anderson, Frank Curriero, Sarah Rockhill, Amir Mirsajedin, Caleb J. Colón, Jasmine Lusane, Alexander Vigo-Valentín, David Wong   +9 more
doaj   +1 more source

Spatio-temporal modelling of the influence of climatic variables and seasonal variation on PM10 in Malaysia using multivariate regression (MVR) and GIS

Geomatics, Natural Hazards & Risk, 2021
In an era of rapidly changing climate, investigating the impacts of climate parameters on major air pollutants such as Particulate matter (PM10) is imperative to mitigate its adverse effect.
Abdulwaheed Tella, Abdul-Lateef Balogun, Ibrahima Faye   +2 more
doaj   +1 more source

Advances in Remote Sensing Technology, Machine Learning and Deep Learning for Marine Oil Spill Detection, Prediction and Vulnerability Assessment

Remote Sensing, 2020
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 ...
Shamsudeen Temitope Yekeen, Abdul-Lateef Balogun   +1 more
doaj   +1 more source

Enhancing discovery in spatial data infrastructures using a search engine [PDF]

PeerJ Computer Science, 2018
A spatial data infrastructure (SDI) is a framework of geospatial data, metadata, users and tools intended to provide an efficient and flexible way to use spatial information.
Paolo Corti, Athanasios Tom Kralidis, Benjamin Lewis   +2 more
doaj   +2 more sources