Article
Public, Environmental & Occupational Health
Bon Woo Koo, Subhrajit Guhathakurta, Nisha Botchwey
Summary: This study aims to reduce the cost of measuring microscale walkability factors by using custom-trained computer vision models, GIS, and street view images. The results show that automated audit is a highly reliable and scalable replacement of virtual audit.
Article
Multidisciplinary Sciences
Myroslava Lesiv, Dmitry Schepaschenko, Marcel Buchhorn, Linda See, Martina Durauer, Ivelina Georgieva, Martin Jung, Florian Hofhansl, Katharina Schulze, Andrii Bilous, Volodymyr Blyshchyk, Liudmila Mukhortova, Carlos Luis Munoz Brenes, Leonid Krivobokov, Stephan Ntie, Khongor Tsogt, Stephan Alexander Pietsch, Elena Tikhonova, Moonil Kim, Fulvio Di Fulvio, Yuan-Fong Su, Roma Zadorozhniuk, Flavius Sorin Sirbu, Kripal Panging, Svitlana Bilous, Sergii B. Kovalevskii, Florian Kraxner, Ahmed Harb Rabia, Roman Vasylyshyn, Rekib Ahmed, Petro Diachuk, Serhii S. Kovalevskyi, Khangsembou Bungnamei, Kusumbor Bordoloi, Andrii Churilov, Olesia Vasylyshyn, Dhrubajyoti Sahariah, Anatolii P. Tertyshnyi, Anup Saikia, Ziga Malek, Kuleswar Singha, Roman Feshchenko, Reinhard Prestele, Ibrar ul Hassan Akhtar, Kiran Sharma, Galyna Domashovets, Seth A. Spawn-Lee, Oleksii Blyshchyk, Oleksandr Slyva, Mariia Ilkiv, Oleksandr Melnyk, Vitalii Sliusarchuk, Anatolii Karpuk, Andrii Terentiev, Valentin Bilous, Kateryna Blyshchyk, Maxim Bilous, Nataliia Bogovyk, Ivan Blyshchyk, Sergey Bartalev, Mikhail Yatskov, Bruno Smets, Piero Visconti, Ian Mccallum, Michael Obersteiner, Steffen Fritz
Summary: Spatially explicit information on forest management is crucial for understanding forest status and planning sustainable management. This study developed a globally consistent forest management map and reference dataset using a combination of expert and crowdsourcing campaigns, as well as satellite imagery. The map provides high spatial detail and moderate accuracy.
Review
Environmental Sciences
Qiang Zhao, Le Yu, Xuecao Li, Dailiang Peng, Yongguang Zhang, Peng Gong
Summary: Earth system science has evolved rapidly due to global environmental changes and the emergence of Earth observation technology. Google Earth (GE) and Google Earth Engine (GEE) have become essential tools for monitoring, analyzing, and modeling Earth observation data, with GEE experiencing faster growth in applications compared to GE. These tools are widely used in multidisciplinary research areas, with GEE focusing more on big data and time-series analysis, while GE is primarily used for visualization purposes.
Article
Multidisciplinary Sciences
Dan-Bi Um
Summary: The aim of this study was to explore the operational potential of forest-photovoltaic by simulating solar tree installation. The results of simulation using satellite imagery confirmed the high feasibility of forest photovoltaic in South Korea, making it a promising alternative energy option.
SCIENTIFIC REPORTS
(2022)
Article
Geosciences, Multidisciplinary
Zeping Liu, Hong Tang, Lin Feng, Siqing Lyu
Summary: Large-scale and multi-annual maps of building rooftop area (BRA) are crucial for policy decisions and sustainable development. However, producing such maps is challenging due to the small sizes of individual buildings. This study proposes a deep-learning method called the Spatio-Temporal aware Super-Resolution Segmentation framework (STSR-Seg) to extract BRA from low-resolution imagery. The authors also create the first full-coverage and multi-annual BRA dataset in China, called CBRA, which will contribute to the development of BRA mapping and sustainable research.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Public, Environmental & Occupational Health
Claire L. Cleland, Sara Ferguson, Frank Kee, Paul Kelly, Andrew James Williams, Glenna Nightingale, Andy Cope, Charlie Foster, Karen Milton, Michael P. Kelly, Ruth Jepson, Ruth F. Hunter
Summary: Liveability is a complex concept with core features that are typically measured at the macro-level, but can also be assessed at the micro-level to identify environmental factors affecting health and well-being. This study developed a micro-level audit tool for use with Google Street View, showing good reliability and high rater agreement.
JOURNAL OF TRANSPORT & HEALTH
(2021)
Article
Ecology
Benjamin B. Phillips, Anila Navaratnam, Joel Hooper, James M. Bullock, Juliet L. Osborne, Kevin J. Gaston
Summary: This study presents a novel method for characterising and classifying road verges remotely and evaluating the extent and habitat composition of road verges across Great Britain. Results show significant opportunities to enhance road verges, particularly along major roads and frequently-mown grassland verges, by planting trees and shrubs to provide environmental benefits.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Environmental Sciences
Lei Zhou, Ting Luo, Mingyi Du, Qiang Chen, Yang Liu, Yinuo Zhu, Congcong He, Siyu Wang, Kun Yang
Summary: Machine learning has been explored for automatic identification of construction and demolition waste (C&DW) using remote sensing data sources. By comparing three typical machine learning algorithms, Random Forest (RF) was identified as the optimal method for C&DW identification. Through experimental trials and parameter optimization, the classification accuracy for C&DW was significantly improved.
Article
Environmental Sciences
Sharyn M. Hickey, Ben Radford
Summary: Mangroves, an important ecosystem, are facing significant impacts from human activities and climate change. Tidally submerged forests and mangroves in arid regions are particularly vulnerable. The spatial extent and impacts of these mangroves are poorly understood due to detection challenges with remote sensing models. This study introduced a new method that improved the detectability of these mangroves and applied it to the northwest coast of Australia. The method was able to detect previously undocumented mangrove areas and increased the accuracy of the models.
Article
Environmental Sciences
Davide Lomeo, Minerva Singh
Summary: This paper proposes a cloud-based mangrove monitoring framework that utilizes satellite remote sensing imagery and convolutional neural networks to classify mangroves in Southeast Asia. The framework aims to provide a robust, low-cost, near-real-time monitoring tool to help map mangroves in the region. The study highlights the importance of mangrove forests and their decline globally.
Article
Chemistry, Analytical
Giuseppe Mazzeo, Micheal S. Ramsey, Francesco Marchese, Nicola Genzano, Nicola Pergola
Summary: The NHI tool, developed using GEE, investigates and maps volcanic thermal anomalies worldwide using data from multiple satellite platforms, including a successful test with ASTER data. Results show effective detection of unique thermal anomalies, especially in the case of the Shishaldin volcano, through comparison with the AVA and manual inspection of satellite imagery.
Article
Environmental Sciences
Pasquale Borrelli, Jean Poesen, Matthias Vanmaercke, Cristiano Ballabio, Javier Herv, Michael Maerker, Simone Scarpa, Panos Panagos
Summary: The European Commission has identified soil erosion as a significant threat to soil resources in the European Union (EU). This study integrates a soil erosion module into the 2018 LUCAS Topsoil Survey to monitor gully erosion in the EU and UK. The results show that the method is effective in detecting gully erosion and mapping permanent gullies, but less effective for detecting ephemeral gullies.
INTERNATIONAL SOIL AND WATER CONSERVATION RESEARCH
(2022)
Article
Agronomy
Emerson Ferreira Vilela, Williams Pinto Marques Ferreira, Gabriel Dumba Monteiro de Castro, Ana Luisa Ribeiro de Faria, Daniel Henrique Leite, Igor Arantes Lima, Christiano de Sousa Machado de Matos, Rogerio Antonio Silva, Madelaine Venzon
Summary: In order to control coffee leaf miner infestation in a timely manner and avoid further economic damage to coffee crops, a fast non-destructive method can be used to monitor the occurrence of coffee leaf miner. This study used multispectral images from the Sentinel-2 satellite and the Google Earth Engine platform to identify coffee leaf miner infestation through a new vegetation index. The infestation of coffee leaf miner was measured in the field in four cities in the state of Minas Gerais.
Article
Geosciences, Multidisciplinary
Chuan-Peng Zhao, Cheng-Zhi Qin
Summary: China has been restoring mangroves for their ecological and societal values with a focus on small fragmented mangrove patches. They utilized 10-m-resolution Sentinel-1 and -2 images for classification and post-processing to create the first detailed publicly accessible mangrove map, enhancing it with submeter data from Google Earth images. The map outperformed existing ones in identifying small mangrove patches and improving the accuracy of boundaries, providing important information for ecosystem services and carbon stock assessment.
GEOSCIENCE DATA JOURNAL
(2022)
Article
Geography, Physical
Yulin Yan, Youngryel Ryu
Summary: In this study, a convolutional neural network (CNN) model was applied to investigate the effectiveness of automatic ground truthing using Google Street View (GSV) images in two distinct farming regions: Illinois and the Central Valley in California. The study demonstrated the feasibility and reliability of this new ground referencing technique, showing high classification accuracy for crop mapping at the state level. These results suggest that GSV images with deep learning models offer an efficient and cost-effective alternative method for ground referencing in various regions worldwide.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Substance Abuse
Ingrid A. Binswanger, Anh P. Nguyen, Jeffrey D. Morenoff, Stanley Xu, David J. Harding
Correction
Psychology, Biological
David J. Harding, Jeffrey D. Morenoff, Anh P. Nguyen, Shawn D. Bushway, Ingrid A. Binswanger
NATURE HUMAN BEHAVIOUR
(2020)
Article
Biotechnology & Applied Microbiology
Abram L. Wagner, Sherri Sheinfeld Gorin, Matthew L. Boulton, Brian A. Glover, Jeffrey D. Morenoff
Summary: This study investigated whether acceptance of future COVID-19 vaccines was influenced by an experimental manipulation of vaccine safety and efficacy profiles. Results showed that factors such as gender, age, and beliefs about vaccines had an impact on vaccine acceptance, with lower acceptance rates observed in the Black community.
HUMAN VACCINES & IMMUNOTHERAPEUTICS
(2021)
Article
Immunology
Abram L. Wagner, Lydia Wileden, Trina R. Shanks, Susan Door Goold, Jeffrey D. Morenoff, Sherri N. Sheinfeld Gorin
Summary: Despite different rates of infection and mortality, communities of color show high vaccine hesitancy. This study examines racial differences in COVID-19 vaccine uptake in Detroit and finds that personal experiences with COVID-19 and trust in authorities play a mediating role in racial disparities in vaccination acceptance.
Article
Sociology
Michael R. Menefee, David J. Harding, Anh P. Nguyen, Jeffrey D. Morenoff, Shawn D. Bushway
Summary: Research shows that split sentences increase the risk of future prison admissions and decrease formal labor market employment among whites with presentence employment. The effect is mainly driven by the greater risk of technical violations of probation conditions resulting from higher levels of probation supervision.
Article
Criminology & Penology
Audrey Hickert, Shawn D. Bushway, David J. Harding, Jeffrey D. Morenoff
Summary: This article explores how prior punishments may contribute to cumulative disadvantages through sentencing under criminal justice supervision. The study in Michigan shows that court actors prioritize current parole status over probation status when deciding prison sentences, disproportionately affecting Black defendants. Consideration of informal discretion in addition to formal rules is necessary to address factors contributing to cumulative disadvantages in prison sentences.
Letter
Health Care Sciences & Services
Nora V. Becker, Sribharat Koripella, Monita Karmakar, Mick P. Couper, Elisabeth R. Gerber, Jeffrey Morenoff, John Z. Ayanian
JOURNAL OF GENERAL INTERNAL MEDICINE
(2022)
Article
Health Care Sciences & Services
Andrew Graham Rundle, Michael David Miller Bader, Stephen John Mooney
Summary: Clinical epidemiology and patient-oriented health care research often use neighborhood-level data and require geocoding of patient address data to conduct the study. However, commonly used geocoding methods may reveal patients' personally identifiable information and compromise their protected health information when publishing research findings.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2022)
Article
Sociology
Michael D. M. Bader
Summary: Multiracial neighborhood integration has become more common in US metropolitan areas. Regardless of race, residents have similar levels of satisfaction living in multiracial neighborhoods. White residents have slightly lower satisfaction than white residents living elsewhere, but they are less likely to perceive neighborhood decline. This suggests that multiracial neighborhoods offer opportunities to promote racial equity.
Article
Public, Environmental & Occupational Health
Lydia Wileden, Denise Anthony, Celeste Campos-Castillo, Jeffrey Morenoff
Summary: This study investigated the willingness of Detroit residents to use app-based contact tracing and found their skepticism towards digital contact tracing. White respondents and those who trust the government were more willing to participate, while Black and Latino respondents were less willing. Education level also played a role, with White college-educated residents showing higher willingness and Black college-educated residents showing lower willingness.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2023)
Article
Public, Environmental & Occupational Health
Kristi L. Allgood, Nancy L. Fleischer, Jeffrey Morenoff, Shervin Assari, Belinda L. Needham
Summary: Despite attention to the consequences of aggressive policing, rare instances of deaths/injuries fail to fully capture the day-to-day experiences of racially minoritized groups. We investigated the differential vulnerability by race/ethnicity in the relationship between police encounters and cardiovascular disease risk.
JOURNAL OF RACIAL AND ETHNIC HEALTH DISPARITIES
(2023)
Article
Public, Environmental & Occupational Health
Andrew G. Rundle, Michael D. M. Bader, Charles C. Branas, Gina S. Lovasi, Stephen J. Mooney, Christopher N. Morrison, Kathryn M. Neckerman
Summary: The purpose of this review is to examine the application and limitations of case-only design in injury epidemiology, using example analyses of Fatality Analysis Reporting System data. The review focuses on two implementations of case-only design: studies to uncover etiological heterogeneity and studies to measure exposure effect modification. Different interpretations and assumptions are required for each design, with the assumption commonly used in exposure effect modification studies not holding for injuries. The results of studies using case-only design in injury risk are often misinterpreted in the literature.
CURRENT EPIDEMIOLOGY REPORTS
(2022)
Article
Social Sciences, Mathematical Methods
Shiyu Zhang, James Wagner, Elisabeth R. Gerber, Jeffrey D. Morenoff
Summary: This research examines the measurement error in self-reported homeownership data and uses Detroit as a case study. The findings suggest that respondents do not always interpret ownership questions as intended, and the reported ownership status is sensitive to the question format used. Furthermore, the risk of measurement error seems to vary across different sociodemographic groups. These results challenge the assumption that homeownership is a straightforward concept and highlight the importance of carefully designing homeownership questions in surveys.
SURVEY RESEARCH METHODS
(2022)
Article
Public, Environmental & Occupational Health
Andrew G. Rundle, Michael D. M. Bader, Stephen J. Mooney
Summary: Innovations in information technology and data sharing have led to the emergence of Urban Health Informatics. Machine learning is applied to various data, such as image analysis, variable selection, and spatial interpolation, to study the effects of neighborhood environments on health.
CURRENT EPIDEMIOLOGY REPORTS
(2022)
Article
Social Sciences, Mathematical Methods
Stephen J. Mooney, Michael D. M. Bader, Gina S. Lovasi, Kathryn M. Neckerman, Andrew G. Rundle, Julien O. Teitler
SOCIOLOGICAL METHODS & RESEARCH
(2020)