CONNECT. TRANSFORM. AUTOMATE.

Creating, Managing and Sharing 3D Cities with FME Christian Dahmen Consultant, con terra GmbH, Germany

Abstract (Hidden Slide)

!  Decades after GIS went 3D for the first time, currently there is an enormous hype on creating and managing smart 3D Virtual Cities. Driven by the ongoing integration of BIM, CAD and GIS data, data transformation capabilities are more important than ever before. This presentation will examine basic concepts on 3D Data modelling and data standards like CityGML, Esri’s 3D City Information Model and IFC (Industry Foundation Classes). Examples illustrate how LiDAR data sets can be used to generate terrain models and 3D Data Models in combination with 2D GIS and CAD data. In addition, strategies for sharing and publishing 3D content will be demonstrated. Attendees will get an understanding of how 3D data integration tasks can be solved with FME.

Agenda

!  Introduction !  3D Virtual Cities and CityGML !  3D Stories across Europe !  Outlook

con terra Facts

!  Founded in 1993 !  Spin-off of the University of Muenster, Institute

for Geoinformatics !  Part of the Esri Deutschland Group !  110 employees !  Development and design of company-wide GIS

infrastructures & System Integrator !  Platinum Partner of Safe Software

Back in 2009…

!  The beginning of a (new) 3D era

!  First 3D Virtual City Models and applications

!  CityGML - a semantic 3D data model and exchange format

…Today

!  Almost all cities and municipalities in Germany do have their Virtual 3D City Models !  Different Level of Details !  Main purposes are visualisation (tourism,

architecture, urban planning), solar potential and shadow analysis

!  Data model based on CityGML

CityGML

!  CityGML is a data model and exchange format for virtual 3D city models

!  Modeling of all relevant parts of a virtual city according to semantics, geometry, topology and appearance

!  GML 3 application schema (XML based) !  CityGML 1.0.0 is OGC Standard since 2008

!  Current version is 2.0.0

CityGML modules

Building Module

CityFurniture Module Relief Module

Transportation Module

Vegetation Module WaterBody Module

Tunnel Module Bridge Module

CityGML | Characteristics

!  Modularisation (Thematic Model) !  Buildings, Roads, CityFurniture,…

!  Generic city objects and attributes !  Application Domain Extensions (ADE) !  Coherence of semantics and geometry

!  Explicit relations between semantic objects and their geometrical representation (B-Rep)

CityGML | Characteristics

!  Multi-Scale Modeling [Level of Detail] !  From landscape up to interior model

!  LOD 0 – Regional model

!  LOD 1 – City model

!  LOD 2 – City model with explicit roof structure

!  LOD 3 – Detailed architectural model

!  LOD 4 – Interior model

Where is FME used?

!  Visualize 3D data (FME Data Inspector) !  Format translation !  Data transformation from 2D to 3D !  Integration of BIM, CAD, LiDAR and GIS data !  Sharing and publishing 3D content !  …

3D Stories across Europe

!  City of Karlsruhe !  City of Augsburg !  Geonovum

#1 City of Karlsruhe

!  City of Karlsruhe !  Population: 296.000 !  Area: 173 km² !  Buildings : 85.000

(cadastre)

3D Models - Components

Level of Detail 1

Level of Detail 2 (simple)

Level of Detail 2 (Downtown only)

Level of Detail 2 (photo-realistic)

Level of Detail 3 (Landmarks)

Land Use

Bridges and Tunnels

Monuments

Vegetation

City Furniture

System Architecture

City of Karlsruhe

Live Demonstration

!  From CAD (Level of Detail 2) to CityGML !  Solution

!  FME Desktop !  Automatic data trans-

formation from DXF to CityGML

#2 City of Augsburg

!  City of Augsburg !  Population: 270.000 !  Area: 147 km² !  Buildings: 130.000

The Situation

!  Geospatial information at City of Augsburg !  130.000 buildings, 100.000 land parcels, 500.000

topographic parcels, 48.000 addresses, 52 million DEM points

!  historic maps and data from other city government departments

!  Established FME workflows to integrate this data into a 3D CityModel stored in Esri Geodatabase

The Challenge

!  How to provide the non-GIS people in the organization with access to the city model data? !  No or little experience using ArcGIS

!  How to handle repeated data requests for the entire organization without exhausting GIS resources?

The Solution I

!  Solution !  Geodatabase to 3D PDF transformation workflow

(FME Desktop) !  Integrate FME Server into ArcGIS Server web

mapping platform for self-serve data download via the web

The Solution II

!  Users draw a polygon of the area they are interested

!  FME Server queries the Geodatabase and automatically transform and deliver the data to the user as a 3D PDF

#3 Geonovum, The Netherlands

!  The Netherlands’ National Spatial Data Infrastructure executive committee

The Challenge

!  Automatic construction of 3D data from 2D and laser scan data !  Large scale topography (2D IMGeo CityGML) !  Laser scan data (AHN2, 10 points per sqm) !  3D CityGML ADE IMGeo

The Solution

!  Use FME to !  Read and validate source data:

CityGML 2D IMGeo + LiDAR (AHN2)

!  'Point-On-Polygon' operation (assign laser data to polygons)

!  Write result data: CityGML 3D IMGeo

!  Run + manage the complete workflow -> Single user interface

The Solution II

!  User parameters !  2D IMGeo source file(s) !  BoundingBox !  LiDAR (AHN-2) source file(s) !  LAS thinning amount !  Choose output theme and

LoD (Multi) !  Choose destination filename

Outlook

!  Current development !  Supporting CityGML as part of Esri‘s ArcGIS for 3D

Cities solution !  Development of CityGML Import and Export Tools

for ArcGIS based on FME (ArcGIS Data Interoperability Extension)

!  Tools will be shipped as a part of Esri‘s 3D City Information Model

CityGML and ArcGIS for 3D Cities

!  Lossless Import and Export ETL Tools !  Covers ~15 most common types from CityGML

1.0/2.0 !  Buildings & Interiors !  Vegetation & LandCover

!  For more information !  https://github.com/Esri/3d-cities-template

Thank You!

!  For more information:

con terra GmbH fme@conterra.de

Christian Dahmen c.dahmen@conterra.de @cda4all

CONNECT. TRANSFORM. AUTOMATE.