3D Cadastre – Dream or Reality?

Slides:



Advertisements
Similar presentations
Oracle Spatial and Mapviewer Problems From Real World Applications.
Advertisements

Geographic Information Systems GIS Software. 1. The Early GISs SURFACE II, by Kansa Geological Survey SYMAP, by Harvard Laboratory for Computer Graphics.
Fatih Doner Cadastral Seminar, 7 December 2007, TU Delft Karadeniz Technical University Department of Geodesy and Photogrammetry Trabzon, TURKEY.
ArcGIS Geodatabase Miles Logsdon Spatial Information Technologies, UW Garry Trudeau - Doonesbury.
Copyright © 2005 Bruce Kessler All Rights Reserved Ch. 2 GeoDatabase Basics Laying the foundations.
CPSC 695 Future of GIS Marina L. Gavrilova. The future of GIS.
Benefits and Concerns when Constructing an Enterprise-scale Geodatabase Larry Theller, presenter Agricultural and Biological Engineering Dept Purdue University.
So What is GIS??? “A collection of computer hardware, software and procedures that are used to organize, manage, analyze and display.
DATA MANAGEMENT: SPATIAL COMPONENT. RASTER AND VECTOR FORMATS RASTER : Grid-based, Simplify reality VECTOR : Analog map, Cartography.
ArcGIS 3D Analyst: Working with 3D Analyst and CityEngine
GI Systems and Science January 23, Points to Cover  What is spatial data modeling?  Entity definition  Topology  Spatial data models Raster.
NSF DUE ; Laura Johnson Cherie Aukland.
Pag 1 Agenzia delle Entrate – Largo Leopardi, – Roma Consistency and completeness of cadastral data in the perspective of an integrated real.
Spatial Data Model: Basic Data Types 2 basic spatial data models exist vector: based on geometry of points lines Polygons raster: based on geometry of.
©2005 Austin Troy. All rights reserved Lecture 3: Introduction to GIS Understanding Spatial Data Structures by Austin Troy, Leslie Morrissey, & Ernie Buford,
Spatial data models (types)
GIS Maintenance & Tips Jennifer Kuchar. Maintenance is often the bottleneck of the entire GIS Enterprise Parcel Data AssessorRecorderAuditorSurveyor Planning.
Welcome to Mapping Tom Sellsted – City of Yakima, Washington Vladimir Strinski – Hitech Systems.
Editing With ArcGIS Pro
Craig McCabe Jeff Archer
Parcel Data Models for the Geodatabase
Implementing Geodatabase Technology
GIS is composed of layers Layers –land/water –roads –urban areas –pollution levels Data can be represented by VECTORS, or Data can be represented by RASTERS.
GIS 1110 Designing Geodatabases. Representation Q. How will we model our real world data? A. Typically: Features Continuous Surfaces and Imagery Map Graphics.
Fundamentals of working with geographic data
ArcGIS for 3D Cities: An Introduction Brian Sims Dan Hedges Thorsten Reitz.
Introduction to Geographic Information Systems (GIS) Lesson 1.
Carmelle J. Terborgh, Ph.D. ESRI
Geographic Information System GIS This project is implemented through the CENTRAL EUROPE Programme co-financed by the ERDF GIS Geographic Inf o rmation.
Applied Cartography and Introduction to GIS GEOG 2017 EL Lecture-2 Chapters 3 and 4.
Introduction In ArcGIS, there are three basic data structures:
material assembled from the web pages at
BUILDING EXTRACTION AND POPULATION MAPPING USING HIGH RESOLUTION IMAGES Serkan Ural, Ejaz Hussain, Jie Shan, Associate Professor Presented at the Indiana.
Optimum route finder to the point of interest through public transport By Pratik Mehta Submitted to Dept. Comp. Science and Engineering IIT-Bombay.
City Engine: Getting Started Geri Miller. Overview Topics - Introduction to CityEngine - Working with CityEngine - Building a city.
8. Geographic Data Modeling. Outline Definitions Data models / modeling GIS data models – Topology.
How do we represent the world in a GIS database?
Intro to GIS and ESRI Trainers: Randy Jones, GIS Technician, Douglas County Jon Fiskness, GISP GIS Coordinator, City of Superior.
Esri UC2013. Technical Workshop. Technical Workshop 2013 Esri International User Conference July 8–12, 2013 | San Diego, California Road Ahead - ArcGIS.
URBDP 422 Urban and Regional Geo-Spatial Analysis Lecture 2: Spatial Data Models and Structures Lab Exercise 2: Topology January 9, 2014.
1106: Geographical Information: a primer Communicating with Cartography 29/10/2004.
INTRODUCTION TO GEOGRAPHICAL INFORMATION SCIENCE RSG620 Week 1, Lecture 2 April 11, 2012 Department of RS and GISc Institute of Space Technology, Karachi.
Thematic Mapping Techniques Yang Shao University of North Carolina at Chapel Hill.
Introducing ArcGIS Chapter 1. Objectives  Understand the architecture of the ArcGIS program.  Become familiar with the types of data files used in ArcGIS.
GIS Data Structures How do we represent the world in a GIS database?
Lab 2: GIS Data Models Yingjie Hu. Objectives Understanding GIS data models Manipulating the data models supported in ArcGIS.
Intro to GIS & Pictometry Trainers: Randy Jones, GIS Technician, Douglas County Jon Fiskness, GISP GIS Coordinator, City of Superior.
Advanced workflows for creating 3D Web Scenes in ArcGIS Online Javier Gutierrez and Janett Baresel.
Esri UC2013. Technical Workshop.Type Presentation Name Here.
Towards Unifying Vector and Raster Data Models for Hybrid Spatial Regions Philip Dougherty.
GTECH 361 Lecture 09 Features in the Geodatabase.
What’s new at ArcGIS for INSPIRE Roberto Lucchi Guenther Pichler.
GIS data formats GIS/CAD5. GIS data „Direct“ spatial data Spatial information is stored within datasets Data representation – Vector data – Raster data.
Introduction to Geodatabases
Czech Technical University in Prague Faculty of Transportation Sciences Department of Transport Telematics Pavel Hrubeš Geographical Information Systems.
Exploration of ESRI’S CityEngine. What is Esri CityEngine Stand alone software package Allows for rapid generation of cities/urban environments Allows.
Best Practices for Managing and Serving Lidar and Elevation Data Cody Benkelman.
Rayat Shikshan Sanstha’s Chhatrapati Shivaji College Satara
Lidar and GIS: Applications and Examples
Enhancing Web Map Performance in ArcGIS Online
Physical Structure of GDB
Urban planning for sustainable development Macedonian experience
Lab 2: GIS Data Models Yingjie Hu. Objectives Understanding GIS data models Manipulating the data models supported in ArcGIS.
Geography 413/613 Lecturer: John Masich
ArcGIS Pro: What’s New in Editing and Data Management
Publishing image services in ArcGIS
3D Mapping with ArcGIS Runtime
ArcGIS Pro: An Introduction Overview
Introduction to 3D Analysis
Presentation transcript:

3D Cadastre – Dream or Reality? Nick Land

Context

20 Years

Cadastral Trends Security of tenure (ownership) Support for land markets (value) Sustainable development (use) Rights and restrictions Efficient & effective land administration Extending the use & value of the cadastre

Why do we need a 3D cadastre? Address the trends in cadastre Urbanisation Complexity of structures & related rights On & above ground Sub-surface

Not a new concept

No ‘true’ 3D cadastres exist Register volumes in land (public) registers, but not included in cadastral map Register only a subset of objects Apartment blocks Utilities Register new constructions only No widely accepted definition of 3D cadastre

Definition (FIG) A 3D parcel is defined as the spatial unit against which (one or more) unique and homogeneous rights (e.g. ownership right or land use right), responsibilities or restrictions (RRRs) are associated to the whole entity Homogeneous = the same combination of rights equally apply within the whole 3D spatial unit Unique = the largest spatial unit for which this is true

How to Implement? GIS Technology

GIS Functionality Continues to Improve Mapping & Editing Imagery LiDAR Mobile Cloud Apps 3-D 4-D & Real Time

ArcGIS is a 3D GIS Collect Manage & Analyze Visualise Share Visualize, manage, analyze and share your geospatial data in 3D 3D Analyst extends ArcGIS to be a fully functioning 3D GIS system – view, manage, analyze and share 3D GIS data. It allows you to: View huge volumes of 3D GIS data in a global view using ArcGlobe, or view site-level data in a local coordinate system using ArcScene Manage 3D GIS data by editing features directly inside ArcGlobe or ArcScene, and add 3D components to 2D data through geoprocessing tools (create/store 3D data) Analyze GIS data in three dimensions using geoprocessing tools, and use interactive tools (such as the 3D Measure tool) in a 3D view Share 3D views of GIS data by publishing Globe Services (with links to live HTML content), and share 3D analytical tools through geoprocessing services. Or you can create high quality video animations and screen captures.

3D Data types in the Geodatabase Vector feature classes with X,Y,Z geometry 3D Points 3D Lines 3D Polygons Elevation grid rasters (DTM/DEM) Terrains (TIN, Point cloud, surface) Mosaics of LAS LiDAR datasets Multipatch (volumetric bodies)

Introducing Multipatch A geodatabase feature type for 3D objects. Collection of triangles, triangle strips, triangle fans, and rings Stores texture image, colour, transparency, and lighting vector information within the geometry

Triangles & Rings Basic units are 3D triangles and 3D rings (polygons)

Triangle Strips & Fans Efficient storage of sets of triangles Triangle Fans

Collections can be complex A single composite multipatch can contain multiple patches of varying types

Textures can be applied Two rings and one triangle strip Different textures for roof, floor and walls

3D Cadastre

Concepts of 3D Cadastre Full 3D cadastre 3D tagging Hybrid 3D Cadastre 4D Cadastre – Time as the fourth dimension 1. Full 3D cadastral registration, where all space is subdivided into volumes with associated measurements and legal definitions and maintained as such 2. A hybrid solution, where all the cadastral layouts are maintained in a 2D space with associated measurements and legal definitions and established relationships to 3D physical objects 3. 3D tagging, where all cadastral layouts are maintained in 2D with associated measurements and legal definitions and external references are made to the 3D data.

The hybrid solution – All in one database Supports the identification of a land unit Supports boundary definitions Supports and maintains topological relationships Allows maintenance in both 2D and 3D Allows display of complex spatial relationships Allows spatial analysis Allows maintenance of other types of objects 2D 3D Survey network Data Maintenance Identification Spatial relationships Boundary Definition Spatial analysis Spatial analysis Data Maintenance Identification

3D Cadastre – Hybrid Solution 2D Parcels; 3D Objects Legal & Physical Objects – Above & below ground

3D Cadastre Visualisation

3D Cadastre Spatial Analysis e.g for objective, market valuation

Esri’s 3D Urban Information Model Simplifies the creation, maintenance and usage of 3D cities Built Environment Buildings & Building Interiors Transport & Utility Networks Installations Trees Legal Environment 3D Zoning 3D Land Ownership Natural Environment Land Cover Atmosphere Geology Template for download To be released in the fall of 2012

2D to 3D: Data Collection Photogrammetric data collection direct into ArcGIS

2D to 3D: Add Heights to 2D Building Footprints Point clouds from aerial LiDAR … … and from new sources like oblique imagery stereomatching LiDAR point cloud Geoprocessing to extrude footprints Best practice 3D workflows, example models and sample data, available at http://resources.arcgis.com/en/communities/city-engine/, and at http://resources.arcgis.com/en/communities/3d/.

2D to 3D: Procedural modeling 3D model creation using rules / algorithms Base geometry Procedural rules What is procedural modeling? Procedural or grammar-based modeling starts with a base geometry or shape. The idea is to define rules that iteratively refine a design by creating more and more detail. Geometrically speaking, these shapes are simply polygons. They can be generated within the CityEngine or imported from external sources for example building lots or, footprints. It this rule example, we have a start rule called lot which acts on the initial selected shape: Extrude the lot by the height Split the 3D extruded shape into components: sides and top Create a gable roof for the top component using the roof rule Split the side components using the façade rule And so on You can imagine that it is possible to create quite complex shapes using this method of iterative refinement, creating more and more detail Base geometry Iterative refinement Final 3D model iteratively refine a design by creating more and more detail

3D models: CityEngine – WebScene http://www.arcgis.com/apps/CEWebViewer/viewer.html?3dWebScene=9c0e319bfaff4d33a0fe2da97c2c3fd7

Analyze Maximum visible building height Skyline analysis 3D routing City planners can analyze their 3D city model and determine impact of newly proposed projects on the city environment. Analyze visibility. Not see (visualize) what is going to look like but analyze the visibility - Calculate maximum building limits based on visibility restrictions - Calculate buildable volumes based on visibility restrictions - Analyze the effects of a new proposal on the city skyline. - Analyze the shadow/glare effects of proposed buildings: - solve 3D network / routing problems in complex buildings (petrochemical, nuclear industry) through 3D routing. Security camera coverage Volumetric Shadows Volumetric Glare

Share WebGIS Post to ArcGIS.com Mobile 3D Publish Virtual Cities as 3D services KML Post to ArcGIS.com CityEngine Web Scenes Share/present data and analysis results in 3D to get a better understanding of the problem/solution by the audience. 3D presentation are more easily understood by the public Share 3D views of GIS data by publishing Globe Services to AGOL (with links to live HTML content), and share 3D analytical tools through geoprocessing services Share video animations Share high resolution screen capture Create screenshots Mobile 3D Export video animations

Extending use of Cadastre Urban planners / Emergency Response / Public safety Rotterdam City of Portland Singapore Masdar city Brisbane Philadelphia Sydney Pasadena

Other (non-technical) considerations Legal Institutional Needs Costs and benefits

Conclusions Today’s GIS technology allows us to: Model the world in 3D Collect, manage, edit, visualise, analyse & share 3D models Hybrid 2D/3D Cadastre offers cost effective solution The bigger questions are: What are the ‘real’ needs? Are the costs justified by the benefits? What changes are required to the legislation?

For more information: FIG Com. 3 & 7 Working Group on 3D Cadastre http://www.gdmc.nl/3DCadastres/ www.esri.com Nick Land: nland@esri.com

Links – City Engine The live CityEngine web scene in the browser of Esri HQ: http://www.arcgis.com/apps/CEWebViewer/viewer.html?3d WebScene=9c0e319bfaff4d33a0fe2da97c2c3fd7 Downtown Redlands is at: http://www.arcgis.com/apps/CEWebViewer/viewer.html?3d WebScene=69e86e856b4845189d1d5de3101d8503   And if you go to ArcGIS.com and search for content as CityEngine Web Scene, there are several others.