irish earth observation symposium 2014: point cloud data management with erdas imagine and apollo

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Point Cloud Data Management with ERDAS IMAGINE and ERDAS APOLLO

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Rapid increase in the volume and number of imagery data sets places significant pressures on data managers – they need to be able to place new data sets in a controlled enterprise data management environment that ensures the maximum number of authorised users are able to find and access the resource.

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Page 1: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Point Cloud

Data Management with

ERDAS IMAGINE and

ERDAS APOLLO

Page 2: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

We deliver innovative spatial solutions for the desktop, web & mobile

Built on our partner’s technology

Designed to meet the challenges of Government, Mapping Agencies

and Utility & Communications Customers

Our customers include OSI, OSNI (LPS), ESB, Eircom, NIE, BT, Irish

Naval Service and every Local Authority in Ireland

Page 3: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

ERDAS IMAGINE - Overview

Comprehensive All-in-one Geospatial Authoring Platform

One-stop shop for radar, multi-spectral, hyperspectral, terrain, point cloud, photogrammetry, and basic vector analytics.

Advanced multi-core batch processing

Real-time, advanced spatial modeling environment -keeping it simple and powerful.

Page 4: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Aerial imagery

Point Cloud

Vector

Radar

Satellite Hyperspectral

Thermal Elevation

Providing an Increasing Variety

of Data

Page 5: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Provide Actionable Information

Analyze

MeasureEnhance

Map

Visualize

Classify

Page 6: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Analyze

Image classification

Image enhancement

Change detection

Vegetation &

Mineral indices

Spatial modeling

Slope and aspect

Intervisibility /

Viewshed

Proximity analysis

Pan Sharpening

Page 7: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Point Cloud Handling

Page 8: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Layout

Page 9: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Point Cloud Analysis

In IMAGINE 2014

Page 10: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Coming in 2015

Point Cloud Compression and StreamingFormat being used Hexagon wide.

New format for compressing point clouds, result is ~10% of the

original size.

Access is very fast

Includes generalization (i.e. pyramid layers)

ECWP Protocol used to stream from APOLLO into applications

Page 11: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

2015 - Streaming Point Clouds

Page 12: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Rising User Demand

Every day, new users are

demanding imagery, across

all applications, on a variety

of devices

Page 13: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Increasing pressures

Data managers

Infrastructure

Procurement

Users

Performance

Page 14: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

ERDAS APOLLO

A comprehensive data management, analysis and delivery system

enabling an organization to describe, catalog, search, discover,

process and securely disseminate massive volumes of data.

Page 15: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Solving the “Bounding Box”

problemGiven 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.

Page 16: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Wizard-driven Workflow to

Catalog and Publish

Search any file system visible

to the server for data.

Set schedulers to repeat the

search on a given schedule

as a one-time event or on a

recurring basis.

Process and service-enable

the datasets.

Set security to control access.

Restrict by user, resolution

and location.

Page 17: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

ERDAS APOLLO: LiDAR Workflow

Requirement to manage large numbers of LAS files.

Organization needs to:

Catalog

End users need to:

Discover

View/preview

Analyze

Download

Subset & Mosaic

Page 18: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Why treat LAS like a Raster

(Conversion to grid)Why treat LAS like raster?

Easy viewing

Easy distribution

Because LiDAR is so dense and

semi-regular it can be gridded quickly

and automatically

Grid automatically

Available via

WMS, WCS and WPS

Download or CZS

Raster

LiDAR

Page 19: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Data Manager – Catalog LAS

Page 20: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Data Manager – Edit Metadata

Page 21: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Geospatial Portal –

Discover LAS data

Page 22: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Clip, Zip and Ship LAS

CZS LAS-formatted point cloud data

Select clip area

Select classifications

Filter by return value

Output to LAS, IMG or TIFF

Clipped output LAS

Region

to subset

Page 23: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

LAS Management in

Apollo 2014

Page 24: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

2015 Geoprocessing –

Delivered from the Cloud

Page 25: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Stay connected

Twitter

LinkedIn

Webinars

IMGS Location Publisher Mobile 4.3 Completed – Recording Available

GeoMedia Smart Client Completed – Recording Available

GeoMedia 2014 Completed – Recording Available

GeoMedia WebMap 2014 Completed – Recording Available

FME for Local Government Completed – Recording Available

Planning Solutions for Local Government November – 18th 3PM

Page 26: Irish Earth Observation Symposium 2014: Point Cloud Data Management with ERDAS IMAGINE and APOLLO

Thank You