A review of urban physical environment sensing using street view imagery in public health studies
Urban physical environments are the physical settings and built environments in
neighbourhoods and cities which provide places for human activities. Evidence suggests …
neighbourhoods and cities which provide places for human activities. Evidence suggests …
A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing
Y Wang, Y Sun, X Cao, Y Wang, W Zhang… - ISPRS Journal of …, 2023 - Elsevier
Abstract Land Use and Land Cover (LULC) mapping products are essential for various
environmental studies, including ecological environmental assessments, resource …
environmental studies, including ecological environmental assessments, resource …
Semantic segmentation of urban buildings from VHR remote sensing imagery using a deep convolutional neural network
Urban building segmentation is a prevalent research domain for very high resolution (VHR)
remote sensing; however, various appearances and complicated background of VHR …
remote sensing; however, various appearances and complicated background of VHR …
Deep learning-based remote and social sensing data fusion for urban region function recognition
Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …
the complex socioeconomic nature of functional land use, recognizing urban region function …
Perceptions of built environment and health outcomes for older Chinese in Beijing: A big data approach with street view images and deep learning technique
Built environment attributes have been demonstrated to be associated with various health
outcomes. However, most empirical studies have typically focused on objective built …
outcomes. However, most empirical studies have typically focused on objective built …
A survey of mobile laser scanning applications and key techniques over urban areas
Urban planning and management need accurate three-dimensional (3D) data such as light
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …
detection and ranging (LiDAR) point clouds. The mobile laser scanning (MLS) data, with up …
Integrating aerial and street view images for urban land use classification
Urban land use is key to rational urban planning and management. Traditional land use
classification methods rely heavily on domain experts, which is both expensive and …
classification methods rely heavily on domain experts, which is both expensive and …
Digital mapping of heavy metals in urban soils: A review and research challenges
Heavy metal pollution in urban soil is one of the global environmental problems, and
monitoring its spatial distribution can provide basic data for assessing and managing the …
monitoring its spatial distribution can provide basic data for assessing and managing the …
Creating 3D city models with building footprints and LIDAR point cloud classification: A machine learning approach
Y Park, JM Guldmann - Computers, environment and urban systems, 2019 - Elsevier
The increasing availability of open geospatial data, such as building footprint vector data
and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …
and LiDAR (Light Detection and Ranging) point clouds, has provided opportunities to …
[HTML][HTML] Urban neighbourhood environment assessment based on street view image processing: A review of research trends
N He, G Li - Environmental Challenges, 2021 - Elsevier
The urban neighbourhood is one of the most important places for public activities and
behaviour spaces in cities, and the quantification of their environments is receiving …
behaviour spaces in cities, and the quantification of their environments is receiving …