eonfusion introduction

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Excellence in Environmental Technology

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A quick "walk-through" Eonfusion\'s 4-Dimensional Analysis & Visualization Solution

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Page 1: Eonfusion Introduction

Excellence in Environmental Technology

Page 2: Eonfusion Introduction

About Us – Organisational Profile

- Established in 1990

- 57 People including Biologists, Physicists, Mathematicians, S/W & H/W Engineers, Behaviorists, Sales, Marketing & Finance.

- Development Team of 31

- Offices - Head Office is in Hobart, Australia with sales and support offices in Shimonoseki (Japan) and San Diego (USA). Agents in 13 Countries.

- Commitment to Innovation – Substantial investment in technological innovation over several years has lead to world leading technologies in the area of smart sensor systems for aquaculture, hydro acoustic analysis software and 4D environmental data analysis and visualisation software.

- Funding from Starfish Ventures, Australia’s leading early stage technology investor. Funds under management U$200m+

- Languages spoken – Korean, Japanese, Mandarin, Indonesian, French, German, Spanish, Greek, Dutch, Polish and English

Page 3: Eonfusion Introduction

About Us – Products

Fisheries Acoustics Analysis Software Sensor Systems for Aquaculture

4D Environmental Data Analysis Software

Page 4: Eonfusion Introduction

The unique new application that allows you to integrate, analyse and communicate complex spatial and temporal environmental data in 4D

Blue whale dive tracks to krill schools in Monterey Bay Canyon, California

Product:

Page 5: Eonfusion Introduction

What is Eonfusion? A universal, scientific level software solution for integrating,

visualising and analysing diverse sets of coincident environmental data

A versatile application that handles modeled, empirical and near real time environmental data

Fills the gap between the capabilities of GIS, statistical analysis, graphing, visualisation and programming packages

Page 6: Eonfusion Introduction

• Data model is 4D + features• Memory management designed for large data sets• Data flow modeling• Genuine 4D topology model and graphics engine• Fuses disparate data types in an integrated context• Support for user coding (API)• Intuitive user interface and coding environmental• Attribute migration• Partitions and classifies data to generate higher

dimensional objects

Core Technology

Page 7: Eonfusion Introduction

Data Integration Work effectively with multiple coincident data sources in

scenes

Vector

Raster

Media

Page 8: Eonfusion Introduction

Analysis & Visualisation• Identify and interpret

interactions between complex, multivariate data sets

• Visualize time-varying data in the context of topographical data

• Manipulate 4D data and linked 2D graphical data simultaneously

Fish Abundance summary and raw acoustic backscatter information from a multiple frequency fisheries acoustic survey. Image credit “Data provided by Chris Wilson and Paul Walline, NOAA Alaska Fisheries Science Center.”

Page 9: Eonfusion Introduction

Communication & Sharing Communicate via:

• Powerful visualisation

• Sharing of Data Flows – Send to others– Build as a team

• Sharing application data, visualization methods, analysis methods and user developed extensions

• Present attribute-rich 4D interactive content

Sonar & Video Habitat Classification Data Flow Model

Page 10: Eonfusion Introduction

Extensibility

• Operators • Integration• “Expression evaluator” • Application Programming Interface (API)• Flexible data sources

Page 11: Eonfusion Introduction

• Terrestrial and Aquatic Ecology• Change Detection• Environmental Monitoring• Habitat Mapping• Spatial Modelling• Remote Sensing• Tracking• Oceanography• And Many More!

Example Applications

Page 12: Eonfusion Introduction

Elkhorn Slough is a shallow-water embayment that is part of a 585-km2 watershed at the easternmost extent of the Monterey Bay in California. In 1974 the shoreline dunes were

breached to extend the harbour leading to significant erosion of the channel during tidal cycling and exposure of vulnerable salt marsh habitats to rising sea levels. In a holistic approach to assessing ecosystem wide processes arising from the breach scientists and engineers have utilised Eonfusion to rapidly assess the impact of altered flow dynamics and rising sea level

scenarios on the vulnerable ecosystems.

Ecosystem-wide Process Assessment

ADCP data showing cross-sectional flow patterns during tidal cycling

High resolution DEM constructed from multi-beam bathymetry

data fused with terrestrial LiDAR

Distribution of vulnerable salt-marsh habitats (red) impacted by

sea-level rise

Projected sea-level rise from present day to 2108

Page 13: Eonfusion Introduction

- Autonomous Applications - Working with a large variety of sensors

Unfiltered

Filtered

Standard Deviation filter applied to ADCP data to remove bad soundings.

Green halos show higher Std. Dev.

Video mapped to AUV track provides visual qualification and ground-truth

capabilitiesExpression Evaluator

Page 14: Eonfusion Introduction

Environmental MonitoringETOPO world elevation model

draped with Blue-Marble satellite imagery (3D raster)

4D visualisation of telemetry data from ARGO profiling floats

(netCDF Rasters)Explore relationships between variables and

ground truth data sets using dynamic graphs

Page 15: Eonfusion Introduction

Change Detection

Change in surface morphology between Winter and Autumn 2006 indicating sediment deposition

Detecting changes in surface morphology using multi-beam bathymetry data collected over Monterey Canyon, canyon between 2003 and 2006. Using Eonfusion’s Expression Evaluator, depth attributes from consecutive surveys were used to calculate the change in surface morphology with the magnitude represented inside the scene view (dark blue colouration indicate areas of erosion through to dark red for areas of deposition). Eonfusion's time slider allows the easy transition between survey grids for rapid assessment of both intra and inter-annual change. Data courtesy of the Seafloor Mapping Lab at CSU Monterey Bay: http://seafloor.csumb.edu/SFMLwebDATA_mb.htm#CANYON

Long-term change in sediment morphology between 2003-2006

dominated by erosion

Page 16: Eonfusion Introduction

4D Shoreline retreat scenario using LiDAR DEM, IPCC sea level rise data and

vulnerability modeling

Verification of LiDAR DEMs using AHD survey points.

Effective visualisation of IPCC sea level height using the time

referenced scene slider

LiDAR generated DEM with aerial photography

drape

Model scenarios can be modified inside Eonfusion’s Expression

Evaluator and impacts immediately assessed

Coastal Impact Assessment

Page 17: Eonfusion Introduction

Remote Sensing

Support for raw LiDAR import

Height-above-ground returns mapped to scene slider for effective visualisation of vegetation

Ground returns extracted from full waveform data using Eonfusion’s Expression Evaluator

Feature identification using signal amplitude

Effective utilisation of raster and vector data in coincident

spatio-temporal scenes

Page 18: Eonfusion Introduction

Spatial ModellingTheoretical re-vegetation of Mt St Helens using Eonfusion’s Expression Evaluator

operator: evolution of a spatio-temporal competitive interaction model between two plant species

Efficient manipulation of parameters and interactive visualisation of model outputs

LiDAR derived DEM

Modeled larva flow

Calculation of slope normals

Growth probability model

Page 19: Eonfusion Introduction

Ground – truthing and VerificationVerification of multi-beam derived

habitat maps using time-indexed still and video imagery collected by a remotely operated vehicle (ROV)

Spatio-temporal referencing of

media data

Integration of vector, raster and media data with effective coincident

visualisation

Page 20: Eonfusion Introduction

Animal TrackingETM+ images

draped over 50m USGS DEM

Individual Wolf tracks derived from satellitecollars. Track data fused with USGS DEM

to derive accurate elevation

Time slider allows effective navigate throughthe complex 4D environment

Page 21: Eonfusion Introduction

Unique Programming EnvironmentData source operators support

•Vector

•Raster

•Media (video, still imagery)

User extensible operators allow manipulation of data sources using

an intuitive coding interface

Pre-defined operators perform common processing tasks without

specialised user experience

Control of metadata settings allows

efficient translation and projection of

spatio-temporal data sources

‘On-the-fly’ projection of source data

within scenes

Page 22: Eonfusion Introduction

Key Features

• Powerful visualisation• Highly extensible analysis• Elegant handling of time-varying data• Integrates large disparate data sets• Shareable methods

Page 23: Eonfusion Introduction

• Significant reduction in effort required to:– Integrate and explore environmental data– Discover spatial and temporal relationships– Migrate attributes between data sets– Build high quality visualizations

• Better methods for communicating complex information to clients and stakeholders

• Standardised and shareable methods within and across disciplines

• High ROI

Benefits

Page 24: Eonfusion Introduction

Eonfusion outperforms.....

Advanced data fusion Visual dataflow model Video and still image fusion (video ground truthing) Perpetual license with no add-on module costs! Revolutionary C# Integrated Development Environment / API Cutting edge user interface design & architecture Optimised processing architecture for fast renderings / visualisations

Page 25: Eonfusion Introduction

Future-proof

• Skilled and committed Development Team • Staff dedicated to QA & documentation• Experienced support team• Ongoing development model • Proven track record