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Transfer Learning for Urban Landscape Clustering and Correlation with Health Indexes
[chapter]
2019
Lecture Notes in Computer Science
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project, showing that, in New York City, urban landscape significantly correlates with the access to healthcare services. ...
with health care data and air pollution measurements. ...
indexes, showing that in New York City urban landscape significantly correlates with the access to healthcare services. ...
doi:10.1007/978-3-030-32785-9_13
fatcat:nxauooqcbrb5xdzzzqsjixziv4
Deep Learning to Unveil Correlations between Urban Landscape and Population Health
2020
Sensors
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Thanks to this pipeline, it is possible to show that, in New York City, health care indexes are significantly correlated to the urban landscape. ...
In this paper we describe a component of such platforms, which couples deep learning analysis of urban geospatial images with healthcare indexes collected by the 500 Cities project. ...
Acknowledgments: The authors would like to acknowledge the entire PULSE consortium for their contribution to this study and their support to the creation of the PULSE systems and all its interconnected ...
doi:10.3390/s20072105
pmid:32276488
pmcid:PMC7181035
fatcat:bvcpxsdihrhdbbrljusy4rljci
The Use of Landscape Metrics and Transfer Learning to Explore Urban Villages in China
2017
Remote Sensing
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In this paper, we propose a new framework based on landscape metrics and transfer learning for the long-term monitoring and analysis of UVs, and we apply it to Shenzhen and Wuhan, two metropolitan cities ...
In the framework, landscape metrics are used for identifying the UVs and quantifying their evolution patterns on the basis of a city-UV-building hierarchical landscape model. ...
Therefore, in this study, we develop a new framework based on landscape metrics and transfer learning for the long-term monitoring and analysis of UVs. ...
doi:10.3390/rs9040365
fatcat:raokfykpwfdfvne3u77dhjp3fa
Integrating Remote Sensing and Street View Images to Quantify Urban Forest Ecosystem Services
2020
Remote Sensing
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There is an urgent need for holistic tools to assess the health impacts of climate change mitigation and adaptation policies relating to increasing public green spaces. ...
In the last phase of the work, the metrics were applied to city blocks, and a spatially constrained clustering methodology was employed. ...
using deep learning for GSV images [45, 46] . ...
doi:10.3390/rs12020329
fatcat:w55hwet62vbbtbimlde6v6bky4
Big Data-Driven Pedestrian Analytics: Unsupervised Clustering and Relational Query Based on Tencent Street View Photographs
2021
ISPRS International Journal of Geo-Information
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This paper aims to propose a pedestrian analytics approach named vectors of uncountable and countable objects for clustering and analysis (VUCCA) for processing 530,000 TSV photographs of Hong Kong Island ...
The experiment results showed that the pedestrians detected in the TSV photographs were successfully clustered into meaningful groups and indexed by the semantic vectors. ...
in an evaluation of urban greenery quality [31] , and to examine correlations between characteristics of built environment and health outcomes in the U.S ...
doi:10.3390/ijgi10080561
fatcat:ve5gzyminfbrvljjfnmzb57skq
A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires
2020
Remote Sensing
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for epidemiological and entomological models. ...
Although the characteristics of dengue infection are well known, factors associated with landscape are highly scale dependent in time and space, and therefore difficult to monitor. ...
(id: 29), "urban village" and NDVI index (id: 51). ...
doi:10.3390/rs12060932
fatcat:co7h2jz2jngrpppnfolg34piqe
Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh
2019
Remote Sensing
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The household wealth index (WI) drawn from the Demographic and Health Surveys (DHS) program was used to reflect poverty level. ...
Furthermore, a negative correlation is observed between the district average WI and the poverty head count ratio (HCR) in Bangladesh with the Pearson Correlation Coefficient of -0.6. ...
Acknowledgments: The authors would like to thank the editor and two anonymous reviewers for their constructive comments on an earlier version of this paper. ...
doi:10.3390/rs11040375
fatcat:sf7nybzmzrdjhedli75bwgkgs4
Spatiotemporal Pattern Evolution of Urban Ecosystem Resilience Based on "Resistance-Adaptation-Vitality": A Case Study of Nanchang City
2022
Frontiers in Earth Science
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This study establishes a quantitative measurement and evaluation framework for urban ecological resilience in three dimensions (resistance, adaptation, and vitality) and conducts a comprehensive evaluation ...
With the rapid development of the economy and society in recent years, the ecological environment has deteriorated significantly. ...
ACKNOWLEDGMENTS The authors are grateful to the editor and reviewers for their valuable comments and suggestions. ...
doi:10.3389/feart.2022.902444
fatcat:6ke47zfdsvgnppcykejli7muby
Combining satellite imagery and machine learning to predict poverty
2016
Science
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It also demonstrates how powerful machine learning techniques can be applied in a setting with limited training data, suggesting broad potential application across many scientific domains. ...
Here we demonstrate an accurate, inexpensive, and scalable method for estimating consumption expenditure and asset wealth from high-resolution satellite imagery. ...
The entanglement creates local entropy that validates the use of statistical physics for local observables. Our measurements are consistent with the eigenstate thermalization hypothesis. ...
doi:10.1126/science.aaf7894
pmid:27540167
fatcat:fh3ijmur6rhehna4tcaxtxlsli
Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
2020
IMIA Yearbook of Medical Informatics
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Conclusions: The featured projects illustrate applications that use exposome data for the investigation of the causes of diseases, health care, patient empowerment, and public health. ...
This reinforces the idea that this area is now ready for health informaticians to step in and contribute their expertise, leading the application of informatics strategies to understand environmental health ...
Finally, health care indexes of each image have been correlated with the clusters, showing that clusters (which were derived only on the basis of the urban images) can be predicted on the basis of health ...
doi:10.1055/s-0040-1701975
pmid:32303099
pmcid:PMC7442499
fatcat:igkvrgzsjfftljwvukvdlhnmim
Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation
2020
International Journal of Environmental Research and Public Health
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Summarizing landscape factors and satellite EO data sources, and making the information public are helpful for guiding future research and improving health decision-making. ...
Moreover, various satellite EO sensors and products used for identifying landscape factors were tabulated. ...
Global essential urban land use maps with fine spatial resolution could be useful for landscape-related studies of dengue. ...
doi:10.3390/ijerph17124509
pmid:32585932
fatcat:s7wr6oupbrcylkwrmuyw47fbdm
The Diversified Impacts of Urban Morphology on Land Surface Temperature among Urban Functional Zones
2020
International Journal of Environmental Research and Public Health
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factor (SVF); and other indicators including albedo and normalized difference vegetation index (NDVI) and impervious surface fraction (ISF) were used as potential landscape drivers for LST. ...
Specifically, a significant correlation between urban 3D morphology indicators and LST in CBF was discovered. ...
The correlation between LST and urban characteristics such as impervious surface fraction, vegetation indexes, and building indexes has been well documented at the intra-urban scale, facilitating the translation ...
doi:10.3390/ijerph17249578
pmid:33371367
pmcid:PMC7767394
fatcat:pqlcerd6fzah3fcam5h5ufz4je
Social-ecological research in urban natural areas: an emergent process for integration
2018
Urban Ecosystems
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Understanding the structure and function of urban landscapes requires integrating social and ecological research. ...
In-depth interviews with researchers and managers (n = 11) involved with the social and ecological assessments revealed commonly-held values considered critical for integration, including clear communication ...
Acknowledgements The authors graciously thank all the NYC Urban Field Station, Natural Areas Conservancy, and NYC Parks Natural Resources Group staff that have assisted in the social and ecological assessments ...
doi:10.1007/s11252-018-0763-9
fatcat:htxp4kia3baahf7plg3ygyswgu
Urban Sub-Center Design Framework Based on the Walkability Evaluation Method: Taking Coomera Town Sub-Center as an Example
2021
Sustainability
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A city's walkability and walkability index have become current research hotspots. ...
Its combines walkability evaluation with walkability design to construct a walkable city in a targeted manner. This provides a reference for related city design in the future. ...
Early research started with health: from revealing the impact of the built environment on walking ability and human health [21] [22] [23] [24] to analyzing the correlation between street network elements ...
doi:10.3390/su13116259
fatcat:gy6mt7vwbrhfxhqj2h5nemfj4u
Measuring Perceived Psychological Stress in Urban Built Environments Using Google Street View and Deep Learning
2022
Frontiers in Public Health
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Consequently, we found a strong spatial autocorrelation in the perceived psychological stress in space, with more low-low clusters in the urban traffic arteries and riverine areas in Gangnam district and ...
Our analytical study integrates street view big data with deep learning and proposes an innovative method for measuring the perceived psychological stress of residents in the built environment. ...
The research methodology and results can be a reference for urban planning and design from a human centered perspective. ...
doi:10.3389/fpubh.2022.891736
pmid:35646775
pmcid:PMC9131010
fatcat:pzp5olvinngpjngy2jhk4iqnca
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