Automated survey of selected common plant species in Thai homegardens using Google Street View imagery and a deep neural network
Sign Up to like & getrecommendations! Published in 2021 at "Earth Science Informatics"
DOI: 10.1007/s12145-020-00557-3
Abstract: Most previous studies of homegardens have used labor-intensive boots-on-the-ground plant surveys, owner questionnaires, and interviews, limiting them to at most a few hundred homegardens. We show that automated analysis of publicly available imagery can enable… read more here.
Keywords: street view; google street; network; plant ... See more keywords
Reassessing Urban Health Interventions: Back to the Future with Google Street View Time Machine.
Sign Up to like & getrecommendations! Published in 2018 at "American journal of preventive medicine"
DOI: 10.1016/j.amepre.2018.04.047
Abstract: INTRODUCTION Validity of research linking built environments to health relies on the availability and reliability of data used to measure exposures. As cities transform, it is important to track when and where urban changes occur,… read more here.
Keywords: street view; google street; street; time ... See more keywords
A fast approach for large-scale Sky View Factor estimation using street view images
Sign Up to like & getrecommendations! Published in 2018 at "Building and Environment"
DOI: 10.1016/j.buildenv.2018.03.009
Abstract: Abstract Sky View Factor (SVF) is one of the most useful urban spatial indicators for radiation and thermal environmental assessment. Estimating SVF with circular fish-eye photos is straightforward and convenient and can account for obstruction… read more here.
Keywords: sky view; street view; view; view factor ... See more keywords
GSV2SVF-an interactive GIS tool for sky, tree and building view factor estimation from street view photographs
Sign Up to like & getrecommendations! Published in 2020 at "Building and Environment"
DOI: 10.1016/j.buildenv.2019.106475
Abstract: Abstract Sky View Factor (SVF) is a commonly used indicator of urban geometry. The availability of street-level SVF measurements has been fairly limited due to the high costs of field survey. The Google Street View… read more here.
Keywords: gsv2svf; view; street view; view factor ... See more keywords
Using Google Street View to investigate the association between street greenery and physical activity
Sign Up to like & getrecommendations! Published in 2019 at "Landscape and Urban Planning"
DOI: 10.1016/j.landurbplan.2018.08.029
Abstract: Abstract Urban greenspaces have been demonstrated to have associations with physical activity and health. Yet empirical studies have almost exclusively focused on parks rather than street, although streets are among the most popular venues for… read more here.
Keywords: street greenery; street; street view; physical activity ... See more keywords
Discovering the homogeneous geographic domain of human perceptions from street view images
Sign Up to like & getrecommendations! Published in 2021 at "Landscape and Urban Planning"
DOI: 10.1016/j.landurbplan.2021.104125
Abstract: Abstract Human perception of place refers to residents' psychological feelings about urban areas. Many studies of human perceptions have focused on a specific geographic location. Whether the distribution of human perceptions in continuous city space… read more here.
Keywords: human perceptions; homogeneous geographic; perception; geographic domain ... See more keywords
The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images
Sign Up to like & getrecommendations! Published in 2021 at "Sustainable Cities and Society"
DOI: 10.1016/j.scs.2020.102664
Abstract: Abstract Awareness is mounting that urban greenspace is beneficial for residents’ health. While a plethora of studies have focused on greenspace quantity, scant attention has been paid to greenspace quality. Existing methods for assessing greenspace… read more here.
Keywords: quantity; greenspace; quality; street view ... See more keywords
National Land Use Regression Model for NO2 Using Street View Imagery and Satellite Observations.
Sign Up to like & getrecommendations! Published in 2022 at "Environmental science & technology"
DOI: 10.1021/acs.est.2c03581
Abstract: Land use regression (LUR) models are widely applied to estimate intra-urban air pollution concentrations. National-scale LURs typically employ predictors from multiple curated geodatabases at neighborhood scales. In this study, we instead developed national NO2 models… read more here.
Keywords: street view; street; satellite observations; model ... See more keywords
High-Resolution Air Pollution Mapping with Google Street View Cars: Exploiting Big Data.
Sign Up to like & getrecommendations! Published in 2017 at "Environmental science & technology"
DOI: 10.1021/acs.est.7b00891
Abstract: Air pollution affects billions of people worldwide, yet ambient pollution measurements are limited for much of the world. Urban air pollution concentrations vary sharply over short distances (≪1 km) owing to unevenly distributed emission sources,… read more here.
Keywords: street view; google street; pollution; air ... See more keywords
Mapping Air Pollution with Google Street View Cars: Efficient Approaches with Mobile Monitoring and Land Use Regression.
Sign Up to like & getrecommendations! Published in 2018 at "Environmental science & technology"
DOI: 10.1021/acs.est.8b03395
Abstract: Air pollution measurements collected through systematic mobile monitoring campaigns can provide outdoor concentration data at high spatial resolution. We explore approaches to minimize data requirements for mapping a city's air quality using mobile monitors with… read more here.
Keywords: street view; google street; mobile monitoring; air ... See more keywords
Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.1700035114
Abstract: Significance We show that socioeconomic attributes such as income, race, education, and voting patterns can be inferred from cars detected in Google Street View images using deep learning. Our model works by discovering associations between… read more here.
Keywords: street view; using deep; google street; street ... See more keywords