Michael Sawada
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View article: Machine learning approaches to Landsat change detection analysis
Machine learning approaches to Landsat change detection analysis Open
The Landsat mission has captured images of the Earth’s surface for over 50 years, and the data have enabled researchers to investigate a vast array of different change phenomena using machine learning models. Landsat-based monitoring resea…
View article: Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada
Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada Open
Lichen mapping is vital for caribou management plans and sustainable land conservation. Previous studies have used random forest, dense neural network, and convolutional neural network models for mapping lichen coverage. However, to date, …
View article: Integrating siloed data: A methodological approach to housing research in Ottawa, Canada
Integrating siloed data: A methodological approach to housing research in Ottawa, Canada Open
Siloed data hinder the development of meaningful data tools on social and health issues. Housing is a social determinant of health that in recent years has become a major affordability issue in Canada. Data tools that provide a comprehensi…
View article: Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches
Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches Open
Satellite remote sensing provides a cost-effective and large-scale alternative to traditional methods for retrieving water quality parameters for inland waters. Effective water quality parameter retrieval via optical satellite remote sensi…
View article: Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic
Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic Open
This study presents a comprehensive comparative analysis of three primary datasets commonly employed to evaluate shipping patterns in Arctic waters: 1) Northern Canada Vessel Traffic Zone (NORDREG), 2) satellite-based Automatic Identificat…
View article: Machine learning approaches to Landsat change detection analysis
Machine learning approaches to Landsat change detection analysis Open
The Landsat mission has captured images of the Earth’s surface for over 50 years, and the data have enabled researchers to investigate a vast array of different change phenomena using machine learning models. Landsat-based monitoring resea…
View article: Correction: The temporal evolution of income polarization in Canada’s largest CMAs
Correction: The temporal evolution of income polarization in Canada’s largest CMAs Open
[This corrects the article DOI: 10.1371/journal.pone.0251430.].
View article: Patterns and determinants of health care utilization among people with Parkinson’s disease: A population-based analysis in Ontario, Canada
Patterns and determinants of health care utilization among people with Parkinson’s disease: A population-based analysis in Ontario, Canada Open
In Ontario, despite the increasing prevalence of Parkinson’s disease (PD), barriers to access-to-care for people with Parkinson’s disease (PwP) and their caregivers are not well understood. The objective of this study is to examine spatial…
View article: Knowledge, protective behaviours, and perception of Lyme disease in an area of emerging risk: results from a cross-sectional survey of adults in Ottawa, Ontario
Knowledge, protective behaviours, and perception of Lyme disease in an area of emerging risk: results from a cross-sectional survey of adults in Ottawa, Ontario Open
Background The number of Lyme disease risk areas in Canada is growing. In regions with emerging tick populations, it is important to emphasize peridomestic risk and the importance of protective behaviours in local public health communicati…
View article: Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada
Dense neural network outperforms other machine learning models for scaling-up lichen cover maps in Eastern Canada Open
Lichen mapping is vital for caribou management plans and sustainable land conservation. Previous studies have used random forest, dense neural network, and convolutional neural network models for mapping lichen coverage. However, to date, …
View article: Risk factors for Lyme disease resulting from residential exposure amidst emerging Ixodes scapularis populations: A neighbourhood-level analysis of Ottawa, Ontario
Risk factors for Lyme disease resulting from residential exposure amidst emerging Ixodes scapularis populations: A neighbourhood-level analysis of Ottawa, Ontario Open
Lyme disease is an emerging health threat in Canada due to the continued northward expansion of the main tick vector, Ixodes scapularis . It is of particular concern to populations living in expanding peri-urban areas where residential dev…
View article: The temporal evolution of income polarization in Canada’s largest CMAs
The temporal evolution of income polarization in Canada’s largest CMAs Open
Income polarization is a pressing issue which is increasingly discussed by academics and policymakers. The present research examines income polarization in Canada’s eight largest Census Metropolitan Areas (CMAs) using data at the census-tr…
View article: Using western science and Inuit knowledge to model ship-source noise exposure for cetaceans (marine mammals) in Tallurutiup Imanga (Lancaster Sound), Nunavut, Canada
Using western science and Inuit knowledge to model ship-source noise exposure for cetaceans (marine mammals) in Tallurutiup Imanga (Lancaster Sound), Nunavut, Canada Open
Tallurutiup Imanga (TI) is a National Marine Conservation Area (NMCA) established in 2019 at the eastern
\nentrance of the Northwest Passage in Lancaster Sound, Nunavut, Canada, to protect 110,000 square kilometres of
\ncore habitat for ce…
View article: Deep mapping gentrification in a large Canadian city using deep learning and Google Street View
Deep mapping gentrification in a large Canadian city using deep learning and Google Street View Open
Gentrification is multidimensional and complex, but there is general agreement that visible changes to neighbourhoods are a clear manifestation of the process. Recent advances in computer vision and deep learning provide a unique opportuni…
View article: Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach
Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach Open
The purpose of this study was to examine the spatial variability of asthma outcomes in Ontario, Canada and broad environmental factors that contribute to this variability. Age-/sex-standardized asthma prevalence and health services use rat…
View article: Geographic distribution of vestibular schwannomas in West Scotland between 2000-2015
Geographic distribution of vestibular schwannomas in West Scotland between 2000-2015 Open
Geographic variability in VS in West Scotland was identified in this patient population, showing that there are areas, even remote, with unusually high or low period prevalence. This can be partially attributed to links between primary and…