Eonfusion Introduction
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Eonfusion Introduction

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

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

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Eonfusion Introduction Eonfusion Introduction Presentation Transcript

  • Excellence in Environmental Technology
  • 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
  • About Us – Products 4D Environmental Data Analysis Software Fisheries Acoustics Analysis Software Sensor Systems for Aquaculture
  • Product: 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
  • 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
  • Core Technology • 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
  • Data Integration Work effectively with multiple coincident data sources in scenes Vector Raster Media
  • 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 Fish Abundance summary and raw acoustic backscatter information from a multiple frequency fisheries acoustic survey. linked 2D graphical data Image credit “Data provided by Chris Wilson and Paul Walline, NOAA Alaska Fisheries simultaneously Science Center.”
  • Communication & Sharing Communicate via: Sonar & Video Habitat Classification Data Flow Model • 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
  • Extensibility • Operators • Integration • “Expression evaluator” • Application Programming Interface (API) • Flexible data sources
  • Example Applications • Terrestrial and Aquatic Ecology • Change Detection • Environmental Monitoring • Habitat Mapping • Spatial Modelling • Remote Sensing • Tracking • Oceanography • And Many More!
  • Ecosystem-wide Process Assessment 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 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 ADCP data showing cross-sectional flow patterns breached to extend the harbour leading to significant erosion of the channel during tidal cycling 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.
  • - Autonomous Applications - Working with a large variety of sensors Standard Deviation filter applied to ADCP data to remove bad soundings. Green halos show higher Std. Dev. Unfiltered Video mapped to AUV track provides visual qualification and ground-truth Expression Evaluator capabilities Filtered
  • Environmental Monitoring ETOPO world elevation model draped with Blue-Marble satellite imagery (3D raster) 4D visualisation of telemetry data from ARGO profiling floats (netCDF Rasters) Effective visualisation of multiple water quality Explore relationships between variables and parameters (temperature and salinity) ground truth data sets using dynamic graphs
  • Change Detection Long-term change in sediment morphology between 2003-2006 dominated by erosion 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
  • Coastal Impact Assessment LiDAR generated DEM with aerial photography drape Verification of LiDAR DEMs using AHD survey points. Effective visualisation of IPCC sea level height using the time Model scenarios can be modified referenced scene slider inside Eonfusion’s Expression Evaluator and impacts immediately 4D Shoreline retreat scenario using LiDAR assessed DEM, IPCC sea level rise data and vulnerability modeling
  • Remote Sensing Support for raw LiDAR import Height-above-ground returns mapped to scene slider for effective visualisation of vegetation Effective utilisation of raster and vector data in coincident spatio-temporal scenes Ground returns extracted from full waveform data Feature identification using Eonfusion’s Expression Evaluator using signal amplitude
  • Spatial Modelling Theoretical re-vegetation of Mt St Helens using Eonfusion’s Expression Evaluator LiDAR derived DEM operator: evolution of a spatio-temporal competitive interaction model between two plant species Modeled larva flow Calculation of slope normals Efficient manipulation of parameters and interactive visualisation of model outputs Growth probability model
  • Ground – truthing and Verification Verification 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
  • Animal Tracking ETM+ images Individual Wolf tracks derived from satellite draped over 50m collars. Track data fused with USGS DEM USGS DEM to derive accurate elevation Time slider allows effective navigate through the complex 4D environment 3D halos used effectively Integration of R processing identify positional uncertainty routines to create a 4D Time- (DOP) around wolf locations spent analysis surface
  • Unique Programming Environment Data source operators support Pre-defined operators perform common processing tasks without •Vector specialised user experience •Raster •Media (video, still imagery) ‘On-the-fly’ projection of source data within scenes Control of metadata settings allows User extensible operators allow efficient translation manipulation of data sources using and projection of an intuitive coding interface spatio-temporal data sources
  • Key Features • Powerful visualisation • Highly extensible analysis • Elegant handling of time-varying data • Integrates large disparate data sets • Shareable methods
  • Benefits • 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
  • 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
  • Future-proof • Skilled and committed Development Team • Staff dedicated to QA & documentation • Experienced support team • Ongoing development model • Proven track record