Automated roof generation for the city of Olomouc using Esri City Engine

Mudiyanselage Ruchira EKANAYAKA

Diplomová práce

Abstract:

Cities attract individuals for a variety of reasons, including job possibilities and economic growth potential. As a result, the complex spatial dynamics of urban settings provide novel obstacles to efficient urban planning. However, typical two-dimensional representations frequently fail to capture the intricacies of three-dimensional systems, making informed decision-making difficult. As Czech cities grow and face new issues, there is an increasing demand for creative 3D modelling approaches. Esri CityEngine provides a viable answer by allowing the production of reusable CGA scripts while also improving the quality and speed of 3D modelling procedures. The application of this technology in urban contexts has the potential to transform urban planning by offering a better knowledge of urban morphology. The research illustrates the feasibility of using Esri CityEngine with ArcGIS Pro to create a systematic, user-friendly pipeline for creating LOD2 (Level of Detail 2) models with minimum GIS skills. The pipeline automates the computation of factors such as eave height, ridge height, and certain roof kinds, resulting in a feature layer that can be used in CityEngine to generate automated LOD2 models. The findings demonstrate the successful construction of LOD2 models for specific research areas while also supporting a simplified processing pipeline that conceals workflow difficulties from users. This created pipeline provides thorough advice to users, from initial data gathering to final accuracy evaluation. The created CGA script now supports simulating 15 of the most popular roof shapes in Czechia. This study marks a huge step forward in urban modelling and analysis, providing a rigorous and scalable framework for creating LOD2 structures in Olomouc and beyond. In addition to addressing current difficulties in building generation, this study provides the framework for future improvements in the area using sophisticated GIS technology and computational tools.

Abstract:

Cities attract individuals for a variety of reasons, including job possibilities and economic growth potential. As a result, the complex spatial dynamics of urban settings provide novel obstacles to efficient urban planning. However, typical two-dimensional representations frequently fail to capture the intricacies of three-dimensional systems, making informed decision-making difficult. As Czech cities grow and face new issues, there is an increasing demand for creative 3D modelling approaches. Esri CityEngine provides a viable answer by allowing the production of reusable CGA scripts while also improving the quality and speed of 3D modelling procedures. The application of this technology in urban contexts has the potential to transform urban planning by offering a better knowledge of urban morphology. The research illustrates the feasibility of using Esri CityEngine with ArcGIS Pro to create a systematic, user-friendly pipeline for creating LOD2 (Level of Detail 2) models with minimum GIS skills. The pipeline automates the computation of factors such as eave height, ridge height, and certain roof kinds, resulting in a feature layer that can be used in CityEngine to generate automated LOD2 models. The findings demonstrate the successful construction of LOD2 models for specific research areas while also supporting a simplified processing pipeline that conceals workflow difficulties from users. This created pipeline provides thorough advice to users, from initial data gathering to final accuracy evaluation. The created CGA script now supports simulating 15 of the most popular roof shapes in Czechia. This study marks a huge step forward in urban modelling and analysis, providing a rigorous and scalable framework for creating LOD2 structures in Olomouc and beyond. In addition to addressing current difficulties in building generation, this study provides the framework for future improvements in the area using sophisticated GIS technology and computational tools.

Keywords

Urban Modelling, BIM, ArcGIS, LiDAR, LOD2

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 20. 5. 2024

Obhajoba závěrečné práce

• Vedoucí: RNDr. Stanislav Popelka, Ph.D.

UNIVERZITA PALACKÉHO V OLOMOUCI

Přírodovědecká fakulta

Magisterský studijní program / obor:
Geoinformatics and Cartography / Geoinformatics and Cartography