SlideShare a Scribd company logo
1
Dealing with the Data Deluge
Bradley C Skelton
CTO – Hexagon Geospatial
2
3
We Have One Constant
4
5
6
7
8
9
10
In An Instant …..
11
… Our World Can Change
12
Geospatial Technology Help to Observe the Change…
13
…To Analyze the Change….
14
…And to Respond Accordingly.
15
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
1717
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?
UtilitiesLocal Government Exploration Natural ResourcesDefense
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
32
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.
43
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.
57
Analytics
Process Raster Data
Analytics
Process Vector Data
Analytics
Process Point Cloud Data
Analyze Change Fusing Point Clouds and Raster
60
Change Detection Using RGBNZ Product
61
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
Originalwithpyramids
…plustile-cache17levels
…plustile-cache19levels
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
8181
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

More Related Content

FME UC 2014: Hexagon Keynote