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Dealing with the Data Deluge

Bradley C Skelton CTO – Hexagon Geospatial

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We Have One Constant

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In An Instant …..

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… Our World Can Change

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Geospatial Technology Help to Observe the Change…

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…To Analyze the Change….

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…And to Respond Accordingly.

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REAL World Events

DIGITAL World

Models

A constant flow of information

fuses the Real World (as is/as built)

with the Digital World (as planned/ as designed)

SENSOR

Fusing the Real and Digital World

SOFTWARE

Geospatial Technology Models the World

DATA DRIVES THE ENGINE

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Growing Numbers of Sensors

Aerial imagery

Point Cloud

Vector

Radar

Satellite Hyperspectral

Thermal Elevation

Increasing Variety of Data

Intelligent Data into Actionable Information

Analyze

Measure Enhance

Map

Visualize

Classify

How?

Simple Intuitive GUI’s

Powerful and Dynamic modeling

Multicore and Distributed Processing

GIS, Remote Sensing, Photogrammetry, Server

Who?

Utilities Local Government Exploration Natural Resources Defense

POINT CLOUD

LiDAR (and other Point Cloud) SOURCES

SGM

Point Cloud Exploitation

Elevation Intensity Class

2D Visualization

Profile Cloud Exploitation

Multiple Views

Point Cloud Exploitatoin

Vegetation Encroachment Assessment

Volumetric Analysis Demonstration

SGM Creates “LiDAR Like” Point Clouds

Automated 3D Extraction Demonstration

RADAR

Availability of Radar Data is Increasing

© ERDAS, Inc. A Hexagon Company. All Rights Reserved

Radar Exploitation

•  Goes beyond traditional optical systems.

•  Penetrates clouds and is active at night.

•  Interferometry can detect and measure small change

•  Commercial sources in include : RadarSat 1 & 2, TeraSarX, Cosmo-Skymed

•  Indian Radar Sensor: RISAT 1 & 2

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Optical image of North Sudan.

(Copyright Eurimage)

Radar image of North Sudan

radar beam penitrates the soil

RADAR Change Detection

Coherence Change Detection

© ERDAS, Inc. A Hexagon Company. All Rights Reserved

Average Radar Magnitude

Interferometic SAR (InSAR) Elevation Extraction

© ERDAS, Inc. A Hexagon Company. All Rights Reserved

InSAR Resolution Comparison

TerraSAR-X vs USGS 30m DEM

Ground Subsidence from D-InSAR

© ERDAS, Inc. A Hexagon Company. All Rights Reserved

Subsidence Map

VIDEO

UAS From Defense to Commercial

Surveillance platforms – manned, unmanned (UAS), optionally manned Classification of UAS types •  Size – micro, small, medium,

large •  Endurance – short, medium, long •  Type – fixed wing, helicopter

(single or multirotor), gyrocopter, aerostats

Wikipedia – List of unmanned systems – 100s of systems around the world Video from commercial space-based platforms – Skybox, UrTheCast

UAS SENSORS

UAS sensors – photo,

multispectral, video, LiDAR

•  Photo, multispectral, LiDAR -

suited for mapping, exploitation

by photogrammetric software.

•  Video - suited for applications

which require capturing

continuous live action for

immediate action or forensic

review

UAS Application

UAV driven power line monitoring is safer and can cost far less than having a person climb and inspect each pole.

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Video Demonstration

HIGH FREQUENCY COLLECT OPTICAL

Increasing Resolution

30 Meter Resolution

1 Pixel is 30m X 30m

1 Meter Resolution

1 Pixel is 1m X 1m

Digital Globe : 30cm natural color, 60cm infrared

Digital Globe 30cm Natural Color

#HxGNLIVE

SKYBOX IMAGING

HxGN Live

Jeddah Saudi Arabia Feb 24 2014

#HxGNLIVE

SKYBOX IMAGING

HxGN Live

Jeddah Saudi Arabia Feb 25 2014

#HxGNLIVE

SKYBOX IMAGING

HxGN Live

Jeddah Saudi Arabia March 13 2014

#HxGNLIVE

SKYBOX IMAGING

HxGN Live

Jeddah Saudi Arabia March 14 2014

#HxGNLIVE

SKYBOX IMAGING

HxGN Live

Jeddah Saudi Arabia March 15 2014

#HxGNLIVE

HxGN Live

Jeddah Saudi Arabia April 20 2014

Video From Space Demonstration

ANALYTICS

Dynamic Interactive Analytics

Spatial Modeling is the process of extracting information from geospatial data •  A deep toolbox of

operations is required. •  Fusing many different

data types extracts more information.

•  Graphical and Interactive make it intuitive and easy to use.

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Analytics

Process Raster Data

Analytics

Process Vector Data

Analytics

Process Point Cloud Data

Analyze Change Fusing Point Clouds and Raster

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Change Detection Using RGBNZ Product

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5 Band Data Provides Clean Change Detection

Change Detection Using Raster and Vectors

Parcel Based Change Detection

Statistical Analytics

HANDLING THE DATA DELUGE

Data Deluge

Geospatial data volumes are growing at an ever increasing rate…

Data Deluge

Greater Resolution, Greater Coverage, Greater Frequency

Data Deluge

Greater Resolution, Greater Coverage, Greater Frequency

New  Airborne  Data  Sources  

Data Deluge

Data Deluge

New Mobile Data Sources

Demand for Data Management

Solving the “Bounding Box” problem

Given a bounding box in space, and a given time period, discover and access all available, relevant & authorized information within that area.

Geospatial Data Types

Maps, Imagery, Features, Terrain, Place Names, Buildings, Infrastructure, Roads,

Political Boundaries, Hydrographic, Geodetic, etc. Location References in Structured

Data

Relational Databases, Travel Itineraries, Financial Transactions, Corporate Data, Personnel Records, Statistical Data, etc.

Sensor Data

EO, Spectral, Radar, LiDAR, Infrared, FMV, in situ, GPS, etc.

Access from Any Device

Desktop, Laptop, PDA, Wireless, Smartphone

Location References in Unstructured Data

News Reports, Publications, Manifests, Internet, World Wide Web, Audio, Video, etc.

Describe and publish your data

Powerful catalog •  Catalog anything digital •  Centralize metadata •  Automatic data ingest

Discover your data

•  Dynamic discovery of dispersed information

•  Fine-grained searches

Geoprocessing

Spa3al  Models  as  a  Service  

Delivery to Users

1000 Gb

400 Gb

50 Gb

1300 Gb

Uncompressed Original

Numerically Lossless Compression

ECW Visually Lossless Compression

Disk Space Is Still an Issue

ECW image compression:

•  Instant storage savings

•  Faster performance

•  Full visual quality

Uncompressed Original & Pyramids

Tiling is Complicated and Disk Intensive

Efficient processing and simple data structure: •  Easier to manage •  Cost effective •  Single source of truth •  One format to serve all

software clients

Raw Imagery

+ 1 ECW mosaic file

Raw Imagery

+ Image Tiles

+ Tile Pyramids

+ Mosaic Overviews

+ Tile Cache

ECW Approach

Conventional Approach

$ cost per month

$ 4,700

ECW $ 82

$ 6,200

$ 4,600 O

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Real Cost Savings on the Cloud

Amazon S3 cloud storage cost comparison 98% lower costs using ECW >$4.6k monthly saving Up to $73k annual saving

* Data generated using the Amazon S3 Cloud Calculator

Delivery Demonstration

SUMMARY

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Our Vision

Our vision is to provide the tools that enable people to collect, organize and analyse the growing deluge of data to

effectively make sense of the ever changing world.

THANK YOU