3

3D

• Enhancing Roadway Safety: Lidar-Based Tree-Clearance Analysis, pages 21–28

3D City Model

• Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”, pages 231–238

3D city model

• Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds, pages 13–20
• A Novel Algorithm to Estimate Solar Irradiance of Urban Buildings for Photovoltaic Potential Estimation System Using a 3D City Model, pages 115–122
• Estimation of Photovoltaic Potential of Urban Buildings Considering a Solar Panel Arrangement Using a 3D City Model, pages 123–130

3D environment

• IMUV: A Digital Twin for Mediation to Discover and Exchange on Territories, pages 107–114

3D modelling

• IMUV: A Digital Twin for Mediation to Discover and Exchange on Territories, pages 107–114

3DCityDB

• Semantic 3D city models as support for urban flood resilience: experiences from Rotterdam, pages 5–12

3DPS

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

A

Aerial Imagery

• Study on the effect of color space in deep multitask learning neural networks for road segmentation, pages 201–208

Airborne Multi-Sensor

• Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment, pages 161–168

actuators

• Centralised monitoring and control of buildings using open standards, pages 169–176

aerial images

• Machine Learning Based Mobile Capacity Estimation for Roadside Parking, pages 99–106

artificial intelligence

• Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation, pages 81–88

B

Building Extraction

• Building extraction in urban and rural areas with aerial and LiDAR DSM, pages 73–79

building control

• Centralised monitoring and control of buildings using open standards, pages 169–176

C

CFD

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

Cadastral Map

• Simulation of Urban Density Scenario according to the Cadastral Map using K-Means unsupervised classification, pages 57–63

Cartography

• Smart Cities, G.I.S. and the Phenomenon of Piracy, pages 65–71

Case study Stuttgart

• A Concept for 3D Geological and Urban Subsurface Modeling with a Unified Voxel Model Examined by a Case Study for the City Center of Stuttgart (Baden-Württemberg), Germany, pages 193–200

Cellular Automata

• Modelling multi-density urban expansion using Cellular Automata for Brussels Metropolitan Development Area, pages 29–34

Change detection

• Deep Learning-Based Assessment of Urban and Vegetation Changes Using High-Resolution Khalifasat Satellite Imagery over Dubai, pages 137–143

City Digital Twins

• The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges, pages 131–136

City Modelling

• Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment, pages 161–168

CityGML

• Semantic 3D city models as support for urban flood resilience: experiences from Rotterdam, pages 5–12
• A Concept for 3D Geological and Urban Subsurface Modeling with a Unified Voxel Model Examined by a Case Study for the City Center of Stuttgart (Baden-Württemberg), Germany, pages 193–200

CityJSON

• Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds, pages 13–20

Color Space

• Study on the effect of color space in deep multitask learning neural networks for road segmentation, pages 201–208

Computational Fluid Dynamics (CFD)

• The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges, pages 131–136

Computational Ontology

• Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”, pages 231–238

D

Data Engineering

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56

Data Integration

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56

Deep Learning

• Urban Tree Detection from Remote Sensing Data based on DeepForest Model, pages 35–41
• Building extraction in urban and rural areas with aerial and LiDAR DSM, pages 73–79
• Deep Learning-Based Assessment of Urban and Vegetation Changes Using High-Resolution Khalifasat Satellite Imagery over Dubai, pages 137–143
• Study on the effect of color space in deep multitask learning neural networks for road segmentation, pages 201–208

DeepForest

• Urban Tree Detection from Remote Sensing Data based on DeepForest Model, pages 35–41

Denman-Beavers Iteration

• Spatiotemporal Interpolation Method for Population Flow Data in Urban Areas, pages 145–152

Digital Elevation Model

• Building extraction in urban and rural areas with aerial and LiDAR DSM, pages 73–79

Digital Surface Model

• Building extraction in urban and rural areas with aerial and LiDAR DSM, pages 73–79

Digital Twin

• Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds, pages 13–20

Distributed Systems

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

digital twins

• Machine Learning Based Mobile Capacity Estimation for Roadside Parking, pages 99–106

district level

• Centralised monitoring and control of buildings using open standards, pages 169–176

drones

• Critical Comparative Analysis of UAS Legislative Developments, pages 223–230

E

Education

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56

Environment

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56

Environment-Friendly Solutions

• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits, pages 185–192

estimation algorithm

• A Novel Algorithm to Estimate Solar Irradiance of Urban Buildings for Photovoltaic Potential Estimation System Using a 3D City Model, pages 115–122

F

Flood Resilience Score

• Semantic 3D city models as support for urban flood resilience: experiences from Rotterdam, pages 5–12

forest and rural road network monitoring

• Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation, pages 81–88

freeware platform Street view

• Volunteered Citizen Contribution to Smart Cities, pages 217–222

G

GIS

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56

Gaming

• IMUV: A Digital Twin for Mediation to Discover and Exchange on Territories, pages 107–114

Geological 3D modeling

• A Concept for 3D Geological and Urban Subsurface Modeling with a Unified Voxel Model Examined by a Case Study for the City Center of Stuttgart (Baden-Württemberg), Germany, pages 193–200

Geospatial Data

• Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment, pages 161–168

Geospatial Semantic Web

• Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”, pages 231–238

geo-referencing

• Machine Learning Based Mobile Capacity Estimation for Roadside Parking, pages 99–106

gravel road condition monitoring

• Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation, pages 81–88

gravel road detection and extraction

• Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation, pages 81–88

H

History

• Smart Cities, G.I.S. and the Phenomenon of Piracy, pages 65–71

Hull Fouling

• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits, pages 185–192

I

ISPRS Annals

• Preface, pages 1–4

Insta One

• Volunteered Citizen Contribution to Smart Cities, pages 217–222

Intelligent Transport Systems

• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits, pages 185–192

Intelligent Transportation Systems

• Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API, pages 209–216

Interoperability

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56
• IMUV: A Digital Twin for Mediation to Discover and Exchange on Territories, pages 107–114
• Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”, pages 231–238

institutional and spatial constraints

• Institutional and spatial constraints on locating VoloPorts in Greek metropolitan areas, pages 177–183

K

K-means classification

• Simulation of Urban Density Scenario according to the Cadastral Map using K-Means unsupervised classification, pages 57–63

KPI Factors for Smart Cities

• Smart Cities: From Theory to Reality - The Athens Case, pages 153–160

KhalifaSAT

• Deep Learning-Based Assessment of Urban and Vegetation Changes Using High-Resolution Khalifasat Satellite Imagery over Dubai, pages 137–143

L

Land Use Studies

• Modelling multi-density urban expansion using Cellular Automata for Brussels Metropolitan Development Area, pages 29–34

Land surface temperature

• Local Climate Zoning Interaction on Land Surface Temperature Determination - City of Split Case Study, pages 43–48

Laser Scanning

• Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment, pages 161–168

LiDAR

• Enhancing Roadway Safety: Lidar-Based Tree-Clearance Analysis, pages 21–28

LiDAR point cloud

• Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds, pages 13–20

Local Governments

• Smart Cities: From Theory to Reality - The Athens Case, pages 153–160

Local climate zones

• Local Climate Zoning Interaction on Land Surface Temperature Determination - City of Split Case Study, pages 43–48

law enforcement system

• Critical Comparative Analysis of UAS Legislative Developments, pages 223–230

M

Machine Learning

• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits, pages 185–192

Map

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56
• Smart Cities, G.I.S. and the Phenomenon of Piracy, pages 65–71

Model-driven Approach

• Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”, pages 231–238

Moving Features

• Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API, pages 209–216

Multi-density

• Modelling multi-density urban expansion using Cellular Automata for Brussels Metropolitan Development Area, pages 29–34

machine learning

• Machine Learning Based Mobile Capacity Estimation for Roadside Parking, pages 99–106

N

Naval Empirical Rules

• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits, pages 185–192

Neural Network

• Study on the effect of color space in deep multitask learning neural networks for road segmentation, pages 201–208

O

OGC

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

OGC Sensorthings API

• Centralised monitoring and control of buildings using open standards, pages 169–176

Open Data

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56

Open Geospatial Consortium

• Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API, pages 209–216

open standards

• Centralised monitoring and control of buildings using open standards, pages 169–176

P

Photogrammetry

• Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment, pages 161–168

Pirates

• Smart Cities, G.I.S. and the Phenomenon of Piracy, pages 65–71

Poisson Disk Sampling

• Urban Tree Detection from Remote Sensing Data based on DeepForest Model, pages 35–41

Population Flow

• Spatiotemporal Interpolation Method for Population Flow Data in Urban Areas, pages 145–152

Preface

• Preface, pages 1–4

parking

• Machine Learning Based Mobile Capacity Estimation for Roadside Parking, pages 99–106

photovoltaic potential

• A Novel Algorithm to Estimate Solar Irradiance of Urban Buildings for Photovoltaic Potential Estimation System Using a 3D City Model, pages 115–122
• Estimation of Photovoltaic Potential of Urban Buildings Considering a Solar Panel Arrangement Using a 3D City Model, pages 123–130

point clouds

• Enhancing Roadway Safety: Lidar-Based Tree-Clearance Analysis, pages 21–28

Q

QGIS

• Semantic 3D city models as support for urban flood resilience: experiences from Rotterdam, pages 5–12

R

Registration

• Airborne Cross-Source Point Clouds Fusion by Slice-to-Slice Adjustment, pages 161–168

Registration Systems

• Critical Comparative Analysis of UAS Legislative Developments, pages 223–230

Remote Sensing

• Forest/rural road network detection and condition monitoring based on satellite imagery and deep semantic segmentation, pages 81–88

Road Segmentation

• Study on the effect of color space in deep multitask learning neural networks for road segmentation, pages 201–208

S

SDSC 2024

• Preface, pages 1–4

SLEUTH model

• Simulation of Urban Density Scenario according to the Cadastral Map using K-Means unsupervised classification, pages 57–63

Semantic Segmentation

• Towards a Digital Twin of Liege: The Core 3D Model based on Semantic Segmentation and Automated Modeling of LiDAR Point Clouds, pages 13–20

SensorThings API

• Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API, pages 209–216

Ship Performance Monitoring

• Detecting Hull Fouling using Machine Learning Algorithms trained on Ship Propulsion Data to Improve Resource Management and Increase Environmental Benefits, pages 185–192

Smart Athens

• Smart Cities: From Theory to Reality - The Athens Case, pages 153–160

Smart Cities

• (m)App my data! Developing a Map-ability Rating and App to Rapidly Communicate Data Quality and Interoperability Potential of Open Data, pages 49–56
• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97
• Smart Cities: From Theory to Reality - The Athens Case, pages 153–160
• Dynamic Geospatial Data Integration: A Case Study of Moving Objects in Munakata City, Japan Using OGC API Moving Features and Sensorthings API, pages 209–216

Smart City

• Smart Cities, G.I.S. and the Phenomenon of Piracy, pages 65–71

Smart City Components

• Smart Cities: From Theory to Reality - The Athens Case, pages 153–160

Smart Data

• Smart Cities: From Theory to Reality - The Athens Case, pages 153–160

Smart people

• Volunteered Citizen Contribution to Smart Cities, pages 217–222

Spatial planning

• Semantic 3D city models as support for urban flood resilience: experiences from Rotterdam, pages 5–12

Spatiotemporal Interpolation

• Spatiotemporal Interpolation Method for Population Flow Data in Urban Areas, pages 145–152

sensors

• Centralised monitoring and control of buildings using open standards, pages 169–176

simulation

• Estimation of Photovoltaic Potential of Urban Buildings Considering a Solar Panel Arrangement Using a 3D City Model, pages 123–130

solar irradiance

• A Novel Algorithm to Estimate Solar Irradiance of Urban Buildings for Photovoltaic Potential Estimation System Using a 3D City Model, pages 115–122
• Estimation of Photovoltaic Potential of Urban Buildings Considering a Solar Panel Arrangement Using a 3D City Model, pages 123–130

solar panel arrangement

• Estimation of Photovoltaic Potential of Urban Buildings Considering a Solar Panel Arrangement Using a 3D City Model, pages 123–130

spatial data

• Volunteered Citizen Contribution to Smart Cities, pages 217–222

street view images

• Machine Learning Based Mobile Capacity Estimation for Roadside Parking, pages 99–106

T

Tokyo

• Spatiotemporal Interpolation Method for Population Flow Data in Urban Areas, pages 145–152

Tourism

• Smart Cities, G.I.S. and the Phenomenon of Piracy, pages 65–71

U

UAM

• Institutional and spatial constraints on locating VoloPorts in Greek metropolitan areas, pages 177–183

UAS classification

• Critical Comparative Analysis of UAS Legislative Developments, pages 223–230

UAS geographical zones

• Critical Comparative Analysis of UAS Legislative Developments, pages 223–230

UAS legislation

• Critical Comparative Analysis of UAS Legislative Developments, pages 223–230

UNet

• Building extraction in urban and rural areas with aerial and LiDAR DSM, pages 73–79

Urban Complexity

• The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges, pages 131–136

Urban Demography

• Spatiotemporal Interpolation Method for Population Flow Data in Urban Areas, pages 145–152

Urban Expansion

• Modelling multi-density urban expansion using Cellular Automata for Brussels Metropolitan Development Area, pages 29–34

Urban Knowledge Graph

• Towards an Automated Transformation of an nD Urban Data Model to a Computational Ontology Network: From UML to OWL, From CityGML 3.0 to “CityOWL”, pages 231–238

Urban Planning

• Modelling multi-density urban expansion using Cellular Automata for Brussels Metropolitan Development Area, pages 29–34

Urban Tree Detection

• Urban Tree Detection from Remote Sensing Data based on DeepForest Model, pages 35–41

Urban change

• Deep Learning-Based Assessment of Urban and Vegetation Changes Using High-Resolution Khalifasat Satellite Imagery over Dubai, pages 137–143

Urban densification

• Simulation of Urban Density Scenario according to the Cadastral Map using K-Means unsupervised classification, pages 57–63

Urban heat island

• Local Climate Zoning Interaction on Land Surface Temperature Determination - City of Split Case Study, pages 43–48

Urban modelling and simulation

• Simulation of Urban Density Scenario according to the Cadastral Map using K-Means unsupervised classification, pages 57–63

Urban subsurface modeling

• A Concept for 3D Geological and Urban Subsurface Modeling with a Unified Voxel Model Examined by a Case Study for the City Center of Stuttgart (Baden-Württemberg), Germany, pages 193–200

urban building

• A Novel Algorithm to Estimate Solar Irradiance of Urban Buildings for Photovoltaic Potential Estimation System Using a 3D City Model, pages 115–122

urban data

• Enhancing Roadway Safety: Lidar-Based Tree-Clearance Analysis, pages 21–28

urban digital twins

• IMUV: A Digital Twin for Mediation to Discover and Exchange on Territories, pages 107–114

V

Virtual tour

• Volunteered Citizen Contribution to Smart Cities, pages 217–222

Visual Analytics

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

Visualization

• The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges, pages 131–136

VoloPorts location

• Institutional and spatial constraints on locating VoloPorts in Greek metropolitan areas, pages 177–183

Voxels

• A Concept for 3D Geological and Urban Subsurface Modeling with a Unified Voxel Model Examined by a Case Study for the City Center of Stuttgart (Baden-Württemberg), Germany, pages 193–200

vegetation management

• Enhancing Roadway Safety: Lidar-Based Tree-Clearance Analysis, pages 21–28

W

Web Orchestration

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

Web Visualization

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

Web services

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

WebGL

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

Wind Flow

• The Role of Computational Fluid Dynamics within City Digital Twins: Opportunities and Challenges, pages 131–136

Wind Simulation

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97

Wind energy

• A Multi-Flow Visual Analytics Web Platform for Detecting High Wind Energy Potential in Urban Environments, pages 89–97