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23/05/2017 1 Fundamental Data for Cities of the Future Cities of the Future – Smart, Resilient and Sustainable

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Page 1: 2 Fundamental Data for the Cities of Future (submitted)ggim.un.org/ggim_20171012/docs/meetings/Kunming_Forum/Sessio… · Drones Navigation (POC projects) • To collect ZTD and IPWV

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Fundamental Data for

Cities of the Future

Cities of the Future – Smart, Resilient

and Sustainable

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Title

• Singapore is building the World's first Smart Nation by harnessing technology and gathering insights from data to the fullest with the aim of

– improving the lives of citizens,

– creating more opportunities, and

– building stronger communities.

Measurement + Prediction = Performance

Source: Frost & Sullivan

Resilient and Sustainable Growth -

Growing Needs for 3D Information

Urban Heat Island Solar Potential Study

DTM for Flood Management

Telecommunication Coverage

Urban Air Flow Dynamic

3D Geological Map Underground Utilities

Underground Infrastructure

Development Planning

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Optimise and Manage Land Resource

Administer Property Transaction System

Manage Geospatial Information

Limited Land Unlimited Space

Singapore Land Authority (SLA)

What is the Problem?

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Fundamental Data

Positioning Data

• National Positioning Infrastructure

• CORS Network

• Cm-level accuracy

Geospatial Data

• Reliable

• High quality

• High resolution

• Homogeneous

SiReNT - Precise GNSS Infrastructure in

Singapore

- National Reference System for Surveying,

Mapping and GIS

- Support real-time precise navigation and

monitoring

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Smart Applications Need Precise

Positioning

New Upgraded SiReNT based on GNSS

Enhanced satellite availability

Enhanced positioning efficiency

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GNSS Assisted Piling System

• Incorporated SiReNT into

the development of GNSS

assisted piling system.

Smart Crane for Precast Building

• Development of a

satellite assisted

Smart Crane

system

• Made possible by

introducing the

RTK technique

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Intelligent Transport Systems

Junction Safety System:

The development of an in-

vehicle and roadside units

positioning solution for

crash detection and early

warning.

Development of Driverless Vehicles

• SiReNT provides precise navigation

capability for Self-Driving vehicle

implementations in Gardens-by-

the-Bay and LTA’s Driverless Vehicle

trials in One-North.

Gardens By The Bay – Auto Riders

ST PHOTO: KUA CHEE SIONG

A*Star – iiRAV Autonomous Vehicle

Delphi - Audi SQ5 prototype

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• Real-time autonomous

navigation

• Post processing of flight

path

• Post processing of data

acquired from flight

Drones Navigation (POC projects)

• To collect ZTD and IPWV data

from GNSS measurements and

incorporate this information in a

numerical weather prediction

model to improve the solar

irradiance forecasting

Solar Irradiance Study

Page 9: 2 Fundamental Data for the Cities of Future (submitted)ggim.un.org/ggim_20171012/docs/meetings/Kunming_Forum/Sessio… · Drones Navigation (POC projects) • To collect ZTD and IPWV

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Fundamental Geospatial Data

• Survey Control Information

• Cadastral Survey Information

• Mapping Data

– Terrain

- Building

- Road

National Coordinate System

No

rth

ing

(N

)

Easting (E)

(28000, 36000)

Origin (0,0)

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Integrated Survey Network (ISN) - Primary

Control Network

Integrated Survey Network (ISN) –

Secondary Control Network

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Fundamental Bench Mark (FBM)

Precise Levelling Bench Mark Network

(PLBM)

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Using GNSS for heights measurement -

Geoid Model

“The Map” - Cadastral Survey Information

Lot ID

Area

Lot ID

Area

Certified Plan (CP)

Cadastral Map (GIS)

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Cadastre Information is Important

• Property Title Registration• Property Ownership • Property Transaction • Property Tax

• Sustainable Development• Road Reserved Line• Reserved zone• Compulsory Acquisition • Government Land Sales

• Planning• Master Planning

• Infrastructure Planning

Smart Cadastre System

• What is Smart Cadastre?– Fully Digital Data Management

– Automated and Intelligent Processing

– Adopt Open Source Standard

– Expanded into 3D and 4D

– Data Analytics

• Key Components– Smart Data Model

– Standard (LandXML)

– IT system - CSMS

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Data - Electronic to Digital

Electronic

•Manual Submission

DigitalHardcopy

•Electronic Submission

•Scanned raster images•Digital Submission

•LandXML

•Online cadastre information and

policy

•Pre-submission check

•Semi-Automatic Processing of

Jobs

Data Capturing using Rapid 3D Mapping

Technology

Airborne Laser Scanning & Imaging Mobile Laser Scanning & Imaging

Phase 1 – FY13 to FY15 Phase 2 – FY14 to FY16

FY13 FY14 FY15 FY16

Phase 1

Phase 2

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Airborne Laser Scanning

Optech Pegasus ALTM

Digital Surface Model (DSM) /

Digital Terrain Model (DTM)

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Leica RCD 30 Oblique Camera

Vertical and Oblique Images

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Photo Map from Airborne Images

Photo Map (Orthophoto)

Building Modelling using Imagery

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3D Building Modelling

©SLA 2016

Mobile Mapping System Components

36

360 Spherical Camera -

Ladybug 5

GNSS Receiver

Mobile Laser Scanner – Riegl

VMX-450

DMI – Distance Measuring

Instrument

IMU – Inertial

Measurement Unit (inside)

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Mobile Laser Scanning Point Cloud

3D Modelling – Transportation and

Street Furniture

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Data Management Strategies

Collect once, use by many

1. Single point of truth (SPOT) is managed and maintained in Open Source Data Format and Data Schema

– Embrace international open standard (e.g Open Geospatial Consortium (OGC) standard, ISO standards)

– Ensure government data is technology-independent

2. Data standard – Establish 3D data standard to ensure interoperability and support

inter-agency data sharing

– Actively contribute and influence international 3D standard

3. Multiple source / technology

Airborne Laser Scanning Data

360 Camera Imagery

Mobile Laser Scanning Data

Road Surface and 3D Road Models

Airborne Vertical / Oblique Images

Digital Terrain Model & Digital Surface Model

3D Building Models and

Building Height Information

Photo Map

Flood Risk Map

Flight Safety Planning

Urban Heat Island Study

SolarNova Project

Underground Master Plan

National Geological Map

Slope Risk Analysis Map

Driverless Vehicle DevelopmentPlanning

Tree Mapping

3D Cadastre

Virtual Singapore

3D Data

3D Products

Benefits for Whole-of-Government

ApplicationsCoastal Protection Map

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Data Model - CityGML Modelling

Theme

41

Building

CityFurnitureRelief

Transportation

WaterBody

Tunnel

Bridge

© KIT – Karlsruher Institute of Technology

Vegetation

Themes to describe the City

CityGML 3D Building (LoD2)

3D Geometry + Topology + Semantics + Appearance

roof surface

ground surfaceground surface

wall surface

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Where is the Data?

• Government play an important role

– Providing fundamental data

– Ensuring standards

– Build and sustain ecosystem

• Fundamental Data

– Collect Once – Use by Many

– Open Standard

– Future-proof