Publications

These are our publications since the Lab was established in 2019 (earlier publications of the PI of the Lab Dr Filip Biljecki are available here). We strive to publish papers open access whenever possible. The PDFs available here are either published as gold or green open access (usually postprints). For the authoritative publication please visit the publisher’s website linked through the DOI of the article. For code and data check our data+code page or follow the links noted in the publications. We have also a GitHub page.

Sensing climate justice: A multi-hyper graph approach for classifying urban heat and flood vulnerability through street view imagery
Recognising the increasing complexities posed by climate challenges to urban environments, it is crucial to develop holistic …
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Sensing climate justice: A multi-hyper graph approach for classifying urban heat and flood vulnerability through street view imagery
Towards an integrated approach for managing and streaming 3D spatial data at the component level in spatial data infrastructures
Transitions of spatial data infrastructures (SDIs) support applications from 2D landscapes to 3D scenes. The existing methods for …
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Towards an integrated approach for managing and streaming 3D spatial data at the component level in spatial data infrastructures
Understanding the user perspective on urban public spaces: A systematic review and opportunities for machine learning
With people-centered approaches gaining prominence in urban development, studying urban public spaces from the users perspective has …
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Understanding the user perspective on urban public spaces: A systematic review and opportunities for machine learning
Measuring the value of window views using real estate big data and computer vision: A case study in Wuhan, China
Window views significantly influence residential quality and real estate value, particularly in high-rise residential buildings. …
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Measuring the value of window views using real estate big data and computer vision: A case study in Wuhan, China
My street is better than your street: Towards data-driven urban planning with visual perception
Understanding peoples preferences and needs is crucial for decision making in urban planning. However, studies have yet to analyze and …
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My street is better than your street: Towards data-driven urban planning with visual perception
Examining the causal impacts of the built environment on cycling activities using time-series street view imagery
Cycling is vital for sustainable and healthy cities. To encourage such activities, understanding urban bikeability at both detailed and …
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Examining the causal impacts of the built environment on cycling activities using time-series street view imagery
A perception-powered urban digital twin to support human-centered urban planning and sustainable city development
Urban Digital Twins (UDTs) offer a promising avenue for advancing sustainable urban development by mirroring physical environments and …
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A perception-powered urban digital twin to support human-centered urban planning and sustainable city development
Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape
Urban lighting reflects nocturnal activities and it is traditionally observed using Nighttime Lights (NTL) satellite imagery. Few …
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Nighttime Street View Imagery: A new perspective for sensing urban lighting landscape
A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies
Street-view-based techniques for assessing the sky view factor (SVF) and solar irradiance under trees are gaining attention as tools …
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A panorama-based technique to estimate sky view factor and solar irradiance considering transmittance of tree canopies
Translating street view imagery to correct perspectives to enhance bikeability and walkability studies
Street view imagery (SVI), an emerging geospatial dataset, is useful for evaluating active transportation infrastructure, but it faces …
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Translating street view imagery to correct perspectives to enhance bikeability and walkability studies
Microclimate Vision: Multimodal prediction of climatic parameters using street-level and satellite imagery
High-resolution microclimate data is essential for capturing spatio-temporal heterogeneity of urban climate and heat health management. …
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Microclimate Vision: Multimodal prediction of climatic parameters using street-level and satellite imagery
High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery
Identification of Aedes aegypti breeding hotspots is essential for the implementation of targeted vector control strategies and thus …
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High-resolution mapping of urban Aedes aegypti immature abundance through breeding site detection based on satellite and street view imagery
Evaluating human perception of building exteriors using street view imagery
Building appearances profoundly shape the urban visual landscape, influencing city images and the quality of urban life. Traditional …
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Evaluating human perception of building exteriors using street view imagery
Global Streetscapes - A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Street view imagery (SVI) is instrumental for sensing urban environments, benefitting numerous domains such as urban morphology, …
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Global Streetscapes - A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics
Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Megacities are major contributors to global road CO2 emissions, highlighting their pivotal role in achieving low-carbon development. …
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Decarbonizing megacities: A spatiotemporal analysis considering inter-city travel and the 15-minute city concept
Integration of Movement Data into 3D GIS
With the rise in usage of digital twins in the field of urban planning, the integration of data sources such as sensor data in 3D city …
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Integration of Movement Data into 3D GIS
Integrating human perception in 3D city models and urban digital twins
Urban digital twins, and 3D city models underpinning them, provide novel solutions to urban management but tend to overlook the human …
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Integrating human perception in 3D city models and urban digital twins
Digital Twin and Wearables Unveiling Pedestrian Comfort Dynamics and Walkability in Cities
This research examines the interplay of outdoor thermal comfort, walkability, and three-dimensional geospatial landscape within cities. …
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Digital Twin and Wearables Unveiling Pedestrian Comfort Dynamics and Walkability in Cities
Techniques and tools for integrating building material stock analysis and life cycle assessment at the urban scale: A systematic literature review
The urban building stock has a high demand for materials and energy, exerting tremendous pressure on natural resources. A current …
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Techniques and tools for integrating building material stock analysis and life cycle assessment at the urban scale: A systematic literature review
Understanding urban perception with visual data: A systematic review
Visual characteristics of the built environment affect how people perceive and experience cities. For a long time, many studies have …
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Understanding urban perception with visual data: A systematic review
The State of the Art in Visual Analytics for 3D Urban Data
Urbanization has amplified the importance of three-dimensional structures in urban environments for a wide range of phenomena that are …
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The State of the Art in Visual Analytics for 3D Urban Data
Predicting building characteristics at urban scale using graph neural networks and street-level context
Building characteristics, such as number of storeys and type, play a key role across many domains: interpreting urban form, simulating …
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Predicting building characteristics at urban scale using graph neural networks and street-level context
G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data
Public transit agencies have amassed substantial data through on-board and off-board sensors over the years. While data collection was the primary focus, there is now a shift towards deriving actionable insights from this wealth of information.
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G2Viz: an online tool for visualizing and analyzing a public transit system from GTFS data
Assessing governance implications of city digital twin technology: A maturity model approach
Digital twin technology has great potential to transform urban planning. However, the governance aspects of city-scale digital twins (CDTs)— a virtual representation of urban environments —are understudied.
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Assessing governance implications of city digital twin technology: A maturity model approach
Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
This paper brings a comprehensive systematic review of the application of geospatial artificial intelligence (GeoAI) in quantitative human geography studies, including the subdomains of cultural, economic, political, historical, urban, population, social, health, rural, regional, tourism, behavioural, environmental and transport geography.
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Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review
Microclimate spatio-temporal prediction using deep learning and land use data
Urban microclimate prediction is crucial for various fields, including Building Performance Simulation (BPS), outdoor thermal comfort, …
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Microclimate spatio-temporal prediction using deep learning and land use data
Humans As Sensors in Urban Digital Twins
Digital twins have gained increasing attention as a tool to facilitate decision-making in the cities. However, the current discourse …
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Humans As Sensors in Urban Digital Twins
Assessment of the LoD Specification for the Integration of BIM-Derived Building Models in 3D City Models
Although level of detail (LoD) is a central concept in 3D city modelling, specifying different LoDs in an unambiguous manner is not …
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Assessment of the LoD Specification for the Integration of BIM-Derived Building Models in 3D City Models
Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management
Urban areas and cities face risks caused by the compounding impacts of urbanization and increasing frequency of disasters. The …
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Continuing from the Sendai Framework midterm: Opportunities for urban digital twins in disaster risk management
Learning visual features from figure-ground maps for urban morphology discovery
Most studies of urban morphology rely on morphometrics, such as building area and street length. However, these methods often fall …
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Learning visual features from figure-ground maps for urban morphology discovery
Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
The transformation from authoritative to user-generated data landscapes has garnered considerable attention, notably with the …
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Crowdsourcing Geospatial Data for Earth and Human Observations: A Review
Preface: Workshop ``GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours''
Urban spaces have become complex, being shaped by diverse human behaviours. Therefore, the sustainability of development has faced …
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Preface: Workshop ``GeoHB 2023: Geo-Spatial Computing for Understanding Human Behaviours''
GeoAI for Urban Sensing
Urban sensing has been an important topic in the past decades, and research has been amplified in the last several years with the …
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GeoAI for Urban Sensing
Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
The well-being of residents is considerably influenced by the quality of their environment. However, due to the lack of large-scale …
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Assessing the equity and evolution of urban visual perceptual quality with time series street view imagery
District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
This paper describes a dataset collected by infrared thermography, a non-contact, non-intrusive technique to acquire data and analyze …
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District-scale surface temperatures generated from high-resolution longitudinal thermal infrared images
The Building Data Genome Directory -- An open, comprehensive data sharing platform for building performance research
The building sector plays a crucial role in the worldwide decarbonization effort, accounting for significant portions of energy …
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The Building Data Genome Directory -- An open, comprehensive data sharing platform for building performance research
Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics
The productivity and satisfaction of humans in the built environment is impacted significantly by their exposure to high temperature …
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Introducing the Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat and Noise with Digital Twin Metrics
A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies
Recently, the concept of a digital twin for the built environment has received significant attention due to its potential benefits to …
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A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery for Microclimate Studies
A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses
Urban network analytics has become an essential tool for understanding and modeling the intricate complexity of cities. We introduce …
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A Global Feature-Rich Network Dataset of Cities and Dashboard for Comprehensive Urban Analyses
Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Urban road networks (URNs) are ubiquitous and essential components of cities. Visually, they present diverse patterns that embody …
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Global urban road network patterns: Unveiling multiscale planning paradigms of 144 cities with a novel deep learning approach
Explainable spatially explicit geospatial artificial intelligence in urban analytics
Geospatial artificial intelligence (GeoAI) is proliferating in urban analytics, where graph neural networks (GNNs) have become one of …
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Explainable spatially explicit geospatial artificial intelligence in urban analytics
Urbanity: automated modelling and analysis of multidimensional networks in cities
Urban networks play a vital role in connecting multiple urban components and developing our understanding of cities and urban systems. …
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Urbanity: automated modelling and analysis of multidimensional networks in cities
Uncovering the challenges of urban digital twins
Urban digital twins, as representations of physical assets in the cities, enable two- way interaction with real-world counterparts, …
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Uncovering the challenges of urban digital twins
Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Street View Imagery (SVI) is crucial in estimating indicators such as Sky View Factor (SVF) and Green View Index (GVI), but (1) …
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Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives
Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences
There is a growing interest in deriving insights about cities from crowdsourced data. We advance the discourse by employing homestay …
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Insights in a city through the eyes of Airbnb reviews: Sensing urban characteristics from homestay guest experiences
How spatio-temporal resolution impacts urban energy calibration
Building Energy Modeling tools help forecast the energy performance of buildings. Urban energy models (UBEMs) emerged as important …
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How spatio-temporal resolution impacts urban energy calibration
Revealing spatio-temporal evolution of urban visual environments with street view imagery
The visual landscape plays a pivotal role in urban planning and healthy cities. Recent studies of visual evaluation focus on either …
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Revealing spatio-temporal evolution of urban visual environments with street view imagery
Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
The accurate prediction of travel demand by bus is crucial for effective urban mobility demand management. However, most models of …
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Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus
Automatic assessment of public open spaces using street view imagery
Public open space (POS) is essential to urban areas. Assessing them usually requires tedious approaches such as fieldwork and manual …
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Automatic assessment of public open spaces using street view imagery
Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
Geospatial data of the building stock is essential in many domains pertaining to the built environment. These datasets are often …
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Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes
EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. …
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EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings
Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image
With the rise of GeoAI research, streetscape imagery has received extensive attention due to its comprehensive coverage, abundant …
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Knowledge and topology: A two layer spatially dependent graph neural networks to identify urban functions with time-series street view image
Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort
Conventional sidewalk studies focused on quantitative analysis of sidewalk walkability at a large scale which cannot capture the …
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Towards Human-centric Digital Twins: Leveraging Computer Vision and Graph Models to Predict Outdoor Comfort
Analytical Framework in Cloud-Native Environments for Auto-Modelling Sparse Human Mobility Considering Memory of Past Contexts
Understanding human mobility is linked to the dynamics of humans’ complex decision-making but is a critical component in modern …
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Analytical Framework in Cloud-Native Environments for Auto-Modelling Sparse Human Mobility Considering Memory of Past Contexts
Exploring spatiotemporal pattern and agglomeration of road CO2 emissions in Guangdong, China
Road transport is a prominent source of carbon emissions. However, fine-grained regional estimations on road carbon dioxide (CO2) …
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Exploring spatiotemporal pattern and agglomeration of road CO2 emissions in Guangdong, China
Challenges of Urban Digital Twins: A Systematic Review and a Delphi Expert Survey
Many challenges to operate digital twins remain, hindering their design and implementation, and are rarely discussed. Furthermore, …
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Challenges of Urban Digital Twins: A Systematic Review and a Delphi Expert Survey
InstantCITY: Synthesising morphologically accurate geospatial data for urban form analysis, transfer, and quality control
Generative Adversarial Network (GAN) is widely used in many generative problems, including in spatial information sciences and urban …
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InstantCITY: Synthesising morphologically accurate geospatial data for urban form analysis, transfer, and quality control
Mining real estate ads and property transactions for building and amenity data acquisition
Acquiring spatial data of fine and dynamic urban features such as buildings remains challenging. This paper brings attention to real …
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Mining real estate ads and property transactions for building and amenity data acquisition
Sensing urban soundscapes from street view imagery
A healthy acoustic environment is an essential component of sustainable cities. Various noise monitoring and simulation techniques have …
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Sensing urban soundscapes from street view imagery
Incorporating Networks in Semantic Understanding of Streetscapes: Contextualising Active Mobility Decisions
Planning for active mobility satisfies many fundamental tenets of good urban design and planning. However, planning for active mobility …
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Incorporating Networks in Semantic Understanding of Streetscapes: Contextualising Active Mobility Decisions
A comprehensive framework for evaluating the quality of street view imagery
Street view imagery (SVI) is increasingly in competition with traditional remote sensing sources and assuming its domination in myriads …
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A comprehensive framework for evaluating the quality of street view imagery
Assessing and benchmarking 3D city models
3D city models are omnipresent in urban management and simulations. However, instruments for their evaluation have been limited. …
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Assessing and benchmarking 3D city models
Water View Imagery: Perception and evaluation of urban waterscapes worldwide
Gathering knowledge about physical settings and visual information of places has long been of interest to a wide variety of fields as …
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Water View Imagery: Perception and evaluation of urban waterscapes worldwide
Home gardening in Singapore: A feasibility study on the utilization of the vertical space of retrofitted high-rise public housing apartment buildings to increase urban vegetable self-sufficiency
In land-scarce cities, high-rise apartment buildings may provide vertical spaces for natural-light home gardening along corridors, …
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Home gardening in Singapore: A feasibility study on the utilization of the vertical space of retrofitted high-rise public housing apartment buildings to increase urban vegetable self-sufficiency
Use cases for district-scale urban digital twins
Efficient usage and management of abundant data are crucial for organisations, especially in the light of a lack of in-depth IT …
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Use cases for district-scale urban digital twins
Local Climate Zones: Lessons from Singapore and potential improvement with street view imagery
Urban heat island (UHI) is considered a serious environmental issue in highly urbanized cities such as Singapore. To better quantify …
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Local Climate Zones: Lessons from Singapore and potential improvement with street view imagery
Dataset for urban scale building stock modelling: Identification and review of potential data collection approaches
Construction materials play an important role in environmental impacts and make cities big resource consumers. To assess the …
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Dataset for urban scale building stock modelling: Identification and review of potential data collection approaches
Comparing street view imagery and aerial perspectives in the built environment
Street view imagery (SVI) has gained prominence in the past decade, offering a new perspective to map and understand cities. It …
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Comparing street view imagery and aerial perspectives in the built environment
Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Traditional approaches for visual perception and evaluation of river landscapes adopt on-site surveys or assessments through …
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Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision
Generative Adversarial Networks in the Built Environment: A Comprehensive Review of the Application of GANs across Data Types and Scales
Generative Adversarial Networks (GANs) are a type of deep neural network that have achieved many state-of-the-art results for …
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Generative Adversarial Networks in the Built Environment: A Comprehensive Review of the Application of GANs across Data Types and Scales
Unsupervised machine learning in urban studies: A systematic review of applications
Unsupervised learning (UL) has a long and successful history in untangling the complexity of cities. As the counterpart of supervised …
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Unsupervised machine learning in urban studies: A systematic review of applications
A review of spatially-explicit GeoAI applications in Urban Geography
Urban Geography studies forms, social fabrics, and economic structures of cities from a geographic perspective. Catalysed by the …
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A review of spatially-explicit GeoAI applications in Urban Geography
Thermal Image Analysis of Singapore's Housing Infrastructure
As a developed and densely populated city, Singapore proves to be a vulnerable victim of the effects of climate change. With Singapore …
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Thermal Image Analysis of Singapore's Housing Infrastructure
3D building metrics for urban morphology
Urban morphology is important in a broad range of investigations across the fields of city planning, transportation, climate, energy, …
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3D building metrics for urban morphology
3D building reconstruction from single street view images using deep learning
3D building models are an established instance of geospatial information in the built environment, but their acquisition remains …
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3D building reconstruction from single street view images using deep learning
Free and open source urbanism: Software for urban planning practice
Free and open source tools present numerous opportunities to support current urban planning practice. However, their overview is …
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Free and open source urbanism: Software for urban planning practice
ifc2indoorgml: An open-source tool for generating IndoorGML from IFC
The interest in 3D indoor models has been continuously growing. Most such models are made available as point clouds or BIM (e.g., IFC), …
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ifc2indoorgml: An open-source tool for generating IndoorGML from IFC
Infrared thermography in the built environment: A multi-scale review
The paper presents a review on major contributions in infrared thermography to study the built environment at multiple scales. To …
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Infrared thermography in the built environment: A multi-scale review
Global Building Morphology Indicators
Characterising and analysing urban morphology is a continuous task in urban data science, environmental analyses, and many other …
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Global Building Morphology Indicators
Population estimation beyond counts---Inferring demographic characteristics
Mapping population distribution at a fine spatial scale is essential for urban studies and planning. Numerous studies, mainly supported …
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Population estimation beyond counts---Inferring demographic characteristics
GANmapper: geographical data translation
We present a new method to create spatial data using a generative adversarial network (GAN). Our contribution uses coarse and widely …
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GANmapper: geographical data translation
Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging
Collecting accurate information about the operational characteristics of buildings is essential for many performance analyses including …
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Operational characteristics of residential air conditioners with temporally granular remote thermographic imaging
The Internet-of-Buildings (IoB) --- Digital twin convergence of wearable and IoT data with GIS/BIM
Internet-of-Things (IoT) devices in buildings and wearable technologies for occupants are quickly becoming widespread. These …
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The Internet-of-Buildings (IoB) --- Digital twin convergence of wearable and IoT data with GIS/BIM
Assessing bikeability with street view imagery and computer vision
Studies evaluating bikeability usually compute spatial indicators shaping cycling conditions and conflate them in a quantitative index. …
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Assessing bikeability with street view imagery and computer vision
Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
There is a prevailing trend to study urban morphology quantitatively thanks to the growing accessibility to various forms of spatial …
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Classification of Urban Morphology with Deep Learning: Application on Urban Vitality
Street view imagery in urban analytics and GIS: A review
Street view imagery has rapidly ascended as an important data source for geospatial data collection and urban analytics, deriving …
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Street view imagery in urban analytics and GIS: A review
Roofpedia: Automatic mapping of green and solar roofs for an open roofscape registry and evaluation of urban sustainability
Sustainable roofs, such as those with greenery and photovoltaic panels, contribute to the roadmap for reducing the carbon footprint of …
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Roofpedia: Automatic mapping of green and solar roofs for an open roofscape registry and evaluation of urban sustainability
Hierarchical (Multi-Label) Architectural Image Recognition and Classification
The task of architectural image recognition for both architectural functionality and style remains an open challenge. In addition, the …
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Hierarchical (Multi-Label) Architectural Image Recognition and Classification
Emerging topics in 3D GIS
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Emerging topics in 3D GIS
3dfier: automatic reconstruction of 3D city models
Three-dimensional city models are essential to assess the impact that environmental factors will have on citizens, because they are the …
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3dfier: automatic reconstruction of 3D city models
3D city models for urban farming site identification in buildings
Studies have suggested that there is farming potential in urban residential buildings. However, these studies are limited in scope, …
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3D city models for urban farming site identification in buildings
Reference study of IFC software support: The GeoBIM benchmark 2019---Part I
Industry Foundation Classes (IFC), the buildingSMART open standard for BIM, is underused with respect to its promising potential, …
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Reference study of IFC software support: The GeoBIM benchmark 2019---Part I
Reference study of CityGML software support: The GeoBIM benchmark 2019---Part II
OGC CityGML is an open standard for 3D city models intended to foster interoperability and support various applications. However, …
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Reference study of CityGML software support: The GeoBIM benchmark 2019---Part II
Extending CityGML for IFC-sourced 3D city models
Differences in the scope and intent of the contrasting IFC and CityGML data formats entail that converting the former to the latter …
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Extending CityGML for IFC-sourced 3D city models
Smart at Scale: Cities to Watch - 25 Case Studies

The World Economic Forum Global Future Council on Cities and Urbanization has leveraged its knowledge, networks and the public to …

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Smart at Scale: Cities to Watch - 25 Case Studies
Visualising detailed CityGML and ADE at the building scale
There is an increasing activity in developing workflows and implementations to convert BIM data into CityGML. However, there are still …
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Visualising detailed CityGML and ADE at the building scale
GeoBIM benchmark -- ISPRS Scientific initiative 2019 -- Final report
In both research and practice, data interoperability is considered essential to support a rising number of applications that need data …
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GeoBIM benchmark -- ISPRS Scientific initiative 2019 -- Final report
Exploration of open data in Southeast Asia to generate 3D building models
This article investigates the current status of generating 3D building models across 11 countries in Southeast Asia from publicly …
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Exploration of open data in Southeast Asia to generate 3D building models
The ISPRS-EuroSDR GeoBIM benchmark 2019
Standardised data formats and data models are essential for data integration and interoperability, which in turn adds value to data by …
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The ISPRS-EuroSDR GeoBIM benchmark 2019
Assessing the quality of OpenStreetMap building data in Singapore
As OpenStreetMap is getting increasingly popular due to its open-license nature and collaborative aspect, its data quality is …
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Assessing the quality of OpenStreetMap building data in Singapore
Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019
The integration of 3D city models with Building Information Models (BIM), coined as GeoBIM, facilitates improved data support to …
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Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019
Assessing global OpenStreetMap building completeness to generate large-scale 3D city models
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Assessing global OpenStreetMap building completeness to generate large-scale 3D city models
ICDAR'20: Intelligent Cross-Data Analysis and Retrieval
The First International Workshop on Intelligence Cross-Data Analytics and Retrieval (ICDAR'20) welcomes any theoretical and practical …
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How might an LoD Logic Framework Help to Bridge the 3D Cadastre Research-to-Practice Gap? A Proposal for a Level of Implementation Framework
During the past decade, hundreds of research papers have been published on the challenge of registering multi-level properties in land …
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How might an LoD Logic Framework Help to Bridge the 3D Cadastre Research-to-Practice Gap? A Proposal for a Level of Implementation Framework
An application-driven LOD modeling paradigm for 3D building models
The level of detail (LOD) concept for 3D building models, which indicates the degree of closeness between a model and its real-world …
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An application-driven LOD modeling paradigm for 3D building models
The implementation of big data analysis in regulating online short-term rental business: a case of Airbnb in Beijing
With the fast expansion and controversial impacts of short-term rental platforms such as Airbnb, many cities have called for regulating …
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The implementation of big data analysis in regulating online short-term rental business: a case of Airbnb in Beijing
Graph transformation rules for IFC-to-CityGML attribute conversion
In model transformation, the population of attributes on the target side constitutes the last step of the conversion process that …
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Graph transformation rules for IFC-to-CityGML attribute conversion
GeoBIM benchmark 2019: intermediate results
An investigation into the implementation state of open standards in software is currently ongoing through the ISPRS/EuroSDR ‘GeoBIM …
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GeoBIM benchmark 2019: intermediate results
Considerations for a contemporary 3D cadastre for our times
A significant number of studies has been carried out to establish 3D cadastre solutions to improve the registration of multi-level …
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Considerations for a contemporary 3D cadastre for our times
Raise the roof: towards generating LoD2 models without aerial surveys using machine learning
LoD2 models include roof shapes and thus provide added value over their LoD1 counterparts for some applications such as estimating the …
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Raise the roof: towards generating LoD2 models without aerial surveys using machine learning
Quality of BIM-GIS conversion
Much work has been done on quality of geoinformation and interoperability between BIM and GIS. However, the intersection of the two – …
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Quality of BIM-GIS conversion
Preface
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Preface
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Linking Persistent Scatterers to the Built Environment Using Ray Tracing on Urban Models
Persistent scatterers (PSs) are coherent measurement points obtained from time series of satellite radar images, which are used to …
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Linking Persistent Scatterers to the Built Environment Using Ray Tracing on Urban Models
Preface -- ISPRS workshop on advanced geospatial applications for smart cities and regions (SmartGeoApps 2019)
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Preface -- ISPRS workshop on advanced geospatial applications for smart cities and regions (SmartGeoApps 2019)
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GeoBIM benchmark 2019: design and initial results
GeoBIM, the integration of 3D geoinformation (Geo) with building information models (BIM), is a subject of increasing attention in both …
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GeoBIM benchmark 2019: design and initial results