- Established in 1990, the company has 57 employees including scientists and engineers across various disciplines. They have offices in Australia, Japan, and the US.
- They have substantial investments in innovation, developing world-leading technologies for smart sensor systems in aquaculture, fisheries acoustics analysis software, and 4D environmental data analysis software.
- Their flagship product, Eonfusion, is a universal software solution for integrating, visualizing, and analyzing diverse environmental data sets in 4D.
Graphical User Interface for Benthic MappingIDES Editor
A Graphical User Interface (GUI) was developed for
a user-friendly implementation of a water depth correction
model. The Interactive Data Language (IDL)-based tool
provides the prospective users with an interface that can be
applied to perform water depth correction on hyperspectral
images that contain shallow water bodies containing benthic
habitat information. Users can select a pixel or a subset of a
hyperspectral image to be corrected and define water
correction for water depths of 0-2.0 m and for turbidity values
of 0-20 NTU (Nephalometric Turbidity Unit) using the GUI.
The results demonstrate that the GUI is an effective benthic
mapping tool for shallow littoral areas; and it can be
incorporated as a module in currently available commercial
image processing software.
Graphical User Interface for Benthic MappingIDES Editor
A Graphical User Interface (GUI) was developed for
a user-friendly implementation of a water depth correction
model. The Interactive Data Language (IDL)-based tool
provides the prospective users with an interface that can be
applied to perform water depth correction on hyperspectral
images that contain shallow water bodies containing benthic
habitat information. Users can select a pixel or a subset of a
hyperspectral image to be corrected and define water
correction for water depths of 0-2.0 m and for turbidity values
of 0-20 NTU (Nephalometric Turbidity Unit) using the GUI.
The results demonstrate that the GUI is an effective benthic
mapping tool for shallow littoral areas; and it can be
incorporated as a module in currently available commercial
image processing software.
Using Remote Sensing Techniques For Monitoring Ecological Changes In Lakes: C...IJERA Editor
The ability to use remote sensing in studying lake ecology lies in the capability of satellite sensors to measure
the spectral reflectance of constituents in water bodies. This reflectance can be used to determine the
concentration of the constituents of the water column through mathematical relationships. This work identified a
simple linear equation for estimating suspended matter in Lake Naivasha with reflectance in Landsat7 ETM+
image. A R² = 0.94, n = 6 for suspended matter was obtained. Archive of Landsat imagery was used to
produce maps of suspended matter concentrations in the lake. The suspended matter concentrations at five
different locations in the lake over 30 year’s period were then estimated. It was therefore concluded that the
ecological changes Lake Naivasha is experiencing is the result of the high water abstraction and the effect of
climate change.
La presentazione del Progetto SmartGeo a cura di Guido Satta, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
The Groundwater and Storage interactions project arose out of a meeting on the shoulder of the Greenhouse Gas Technologies Conference in Amsterdam in 2010. It was decided to concentrate initially on the Australian Flagships projects. On 3 May 2011 Australian researchers and government agencies met and presented their work to date.
In these slides Mark Webster, Divisional Information Officer, Petroleum and Marine Division,
Geoscience Australia, provides an overview on data sharing within the CCS community
This slide is all about proximal sensing of soil properties including lab techniques and proximal remote sensing. Hope it will help soil science scholars and acade
Moving beyond the 4th Dimension of Quantifying, Analyzing & Visualizing A...chrismalzone
Presentation & Paper By Chris Malzone and given by Mike Mutschler, RESON. Focuses on the benefits of fusing multiple sources of acoustic data through fusion. Presentation also introduces the concept of fusion & looking at multisource 4-dimensional data. It also brings home the point through a Habitat Mapping Case Study in the US Virgin Islands as analysed via the Eonfusion software.
An Automated Approach of Shoreline Detection Applied to Digital Videos using ...Dwi Putra Asana
Abstract: This study aims to detect a shoreline location and its changes automatically in the temporal resolution.
This approach is implemented on the coastal video monitoring system applications. The proposed method applied
data mining by using two main systems-a training system using classification and shoreline detection systems with
Self-Organizing Map (SOM) and K-Nearest Neighbor (K-NN) algorithms. The training system performs feature
texture extraction using agray-level co-occurrence matrix and the results are stored to classification process. The
detection system has five processing stages: contrast stretching preprocessing and morphological contrast
enhancement, SOM clustering, morphological operations, feature extraction and K-NN classification and detection
shoreline. Preprocessing was used to improve the video image contrast and reliability. SOM algorithm in
segmenting objects in the onshore video images. Morphological operations were applied to eliminate noise on the
objects that were not needed in the spatial domain. The segmentation results of video frames classified by K-NN.
The aim is to provide the class labels on each region segmentation results, namely, sea label, land label and sky
label. The determination of the shoreline is done by scanning the neighboring pixels from the edge of land class
label after binary image transformation. The shoreline change detection was performed by comparing the position of
existing shoreline and shoreline position in the reference video frame. A Receiver Operating Characteristic (ROC)
curve was used to evaluate the performance of shoreline detection systems. The results showed that the combination
of SOM and K-NN was able to detect shoreline and its changes accurately
This presentation was made on August 5, 2008 at the University of California, Santa Barbara. It discusses airborne hyperspectral technologies and applications.
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...Fredrick Ishengoma
The recently advancement in Wireless Sensor Network (WSN) technology has brought new distributed sensing applications such as water quality monitoring. With sensing capabilities and using parameters like pH, conductivity and temperature, the quality of water can be known. This paper proposes a novel design based on IEEE 802.15.4 (Zig-Bee protocol) and solar energy called Autonomous Water QualityMonitoring Prototype (AWQMP). The prototype is designed to use ECHERP routing protocol and Adruino Mega 2560, an open-source electronic prototyping platform for data acquisition. AWQMP is expected to give real time data acquirement and to reduce the cost of manual water quality monitoring due to its autonomous characteristic. Moreover, the proposed prototype will help to study the behavior of aquatic animals in deployed water bodies.
Using Remote Sensing Techniques For Monitoring Ecological Changes In Lakes: C...IJERA Editor
The ability to use remote sensing in studying lake ecology lies in the capability of satellite sensors to measure
the spectral reflectance of constituents in water bodies. This reflectance can be used to determine the
concentration of the constituents of the water column through mathematical relationships. This work identified a
simple linear equation for estimating suspended matter in Lake Naivasha with reflectance in Landsat7 ETM+
image. A R² = 0.94, n = 6 for suspended matter was obtained. Archive of Landsat imagery was used to
produce maps of suspended matter concentrations in the lake. The suspended matter concentrations at five
different locations in the lake over 30 year’s period were then estimated. It was therefore concluded that the
ecological changes Lake Naivasha is experiencing is the result of the high water abstraction and the effect of
climate change.
La presentazione del Progetto SmartGeo a cura di Guido Satta, in occasione dell'evento "Bonifiche ambientali e potenzialità delle imprese" che si è tenuto a Cagliari il 7 novembre 2014.
The Groundwater and Storage interactions project arose out of a meeting on the shoulder of the Greenhouse Gas Technologies Conference in Amsterdam in 2010. It was decided to concentrate initially on the Australian Flagships projects. On 3 May 2011 Australian researchers and government agencies met and presented their work to date.
In these slides Mark Webster, Divisional Information Officer, Petroleum and Marine Division,
Geoscience Australia, provides an overview on data sharing within the CCS community
This slide is all about proximal sensing of soil properties including lab techniques and proximal remote sensing. Hope it will help soil science scholars and acade
Moving beyond the 4th Dimension of Quantifying, Analyzing & Visualizing A...chrismalzone
Presentation & Paper By Chris Malzone and given by Mike Mutschler, RESON. Focuses on the benefits of fusing multiple sources of acoustic data through fusion. Presentation also introduces the concept of fusion & looking at multisource 4-dimensional data. It also brings home the point through a Habitat Mapping Case Study in the US Virgin Islands as analysed via the Eonfusion software.
An Automated Approach of Shoreline Detection Applied to Digital Videos using ...Dwi Putra Asana
Abstract: This study aims to detect a shoreline location and its changes automatically in the temporal resolution.
This approach is implemented on the coastal video monitoring system applications. The proposed method applied
data mining by using two main systems-a training system using classification and shoreline detection systems with
Self-Organizing Map (SOM) and K-Nearest Neighbor (K-NN) algorithms. The training system performs feature
texture extraction using agray-level co-occurrence matrix and the results are stored to classification process. The
detection system has five processing stages: contrast stretching preprocessing and morphological contrast
enhancement, SOM clustering, morphological operations, feature extraction and K-NN classification and detection
shoreline. Preprocessing was used to improve the video image contrast and reliability. SOM algorithm in
segmenting objects in the onshore video images. Morphological operations were applied to eliminate noise on the
objects that were not needed in the spatial domain. The segmentation results of video frames classified by K-NN.
The aim is to provide the class labels on each region segmentation results, namely, sea label, land label and sky
label. The determination of the shoreline is done by scanning the neighboring pixels from the edge of land class
label after binary image transformation. The shoreline change detection was performed by comparing the position of
existing shoreline and shoreline position in the reference video frame. A Receiver Operating Characteristic (ROC)
curve was used to evaluate the performance of shoreline detection systems. The results showed that the combination
of SOM and K-NN was able to detect shoreline and its changes accurately
This presentation was made on August 5, 2008 at the University of California, Santa Barbara. It discusses airborne hyperspectral technologies and applications.
Fredrick Ishengoma - A Novel Design of IEEE 802.15.4 and Solar Based Autonomo...Fredrick Ishengoma
The recently advancement in Wireless Sensor Network (WSN) technology has brought new distributed sensing applications such as water quality monitoring. With sensing capabilities and using parameters like pH, conductivity and temperature, the quality of water can be known. This paper proposes a novel design based on IEEE 802.15.4 (Zig-Bee protocol) and solar energy called Autonomous Water QualityMonitoring Prototype (AWQMP). The prototype is designed to use ECHERP routing protocol and Adruino Mega 2560, an open-source electronic prototyping platform for data acquisition. AWQMP is expected to give real time data acquirement and to reduce the cost of manual water quality monitoring due to its autonomous characteristic. Moreover, the proposed prototype will help to study the behavior of aquatic animals in deployed water bodies.
Using Remote Sensing Techniques For Monitoring Ecological Changes In Lakes: C...IJERA Editor
The ability to use remote sensing in studying lake ecology lies in the capability of satellite sensors to measure
the spectral reflectance of constituents in water bodies. This reflectance can be used to determine the
concentration of the constituents of the water column through mathematical relationships. This work identified a
simple linear equation for estimating suspended matter in Lake Naivasha with reflectance in Landsat7 ETM+
image. A R² = 0.94, n = 6 for suspended matter was obtained. Archive of Landsat imagery was used to
produce maps of suspended matter concentrations in the lake. The suspended matter concentrations at five
different locations in the lake over 30 year’s period were then estimated. It was therefore concluded that the
ecological changes Lake Naivasha is experiencing is the result of the high water abstraction and the effect of
climate change.
Nel seminario viene descritta una piattaforma informatica integrata, basata su tecnologie GIS, generatori di griglia, simulatori numerici e visualizzatori, finalizzata ad indagare l'impatto sulla qualità delle acque derivante da fonti di inquinamento localizzate e diffuse e a quantificare l'incertezza nell'applicazione dei modelli.
Gaining insight to Acoustic Measurements through the fusion of multisource datachrismalzone
Presentation & Paper By Chris Malzone and given by Mike Mutschler, RESON. Focuses on the benefits of fusing multiple sources of acoustic data through fusion. Presentation also introduces the concept of fusion as well as looks at a Habitat Mapping Case Study in the US Virgin Islands as analysed via the Eonfusion software.
Il seminario presenta un approccio innovativo al trattamento dei dati sismici mediante la combinazione di software di processing open source allo stato dell'arte con tecnologie informatiche di grid computing, rendendo possibile ed efficiente l'utilizzo di risorse distribuite e amministrate in remoto per il calcolo e la gestione dei dati. Inoltre illustra i risultati ottenuti per tre diversi tipi di dati (onde di compressione, onde di taglio e multi-offset Ground-Penetrating Radar), tratti da studi idrogeofisici condotti in Sardegna e a Larreule (Francia).
These slides were presented at the first osgeo.wageningen event by several participants in a 5 minute pitch on current work using opensource geospatial software
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
2. 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
3. About Us – Products
4D Environmental Data Analysis Software
Fisheries Acoustics Analysis Software Sensor Systems for Aquaculture
4. 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
5. 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
6. 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
8. 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.”
9. 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
11. Example Applications
• Terrestrial and Aquatic Ecology
• Change Detection
• Environmental Monitoring
• Habitat Mapping
• Spatial Modelling
• Remote Sensing
• Tracking
• Oceanography
• And Many More!
12. 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.
13. - 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
14. 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
15. 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
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. Key Features
• Powerful visualisation
• Highly extensible analysis
• Elegant handling of time-varying data
• Integrates large disparate data sets
• Shareable methods
23. 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
24. 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
25. Future-proof
• Skilled and committed Development Team
• Staff dedicated to QA & documentation
• Experienced support team
• Ongoing development model
• Proven track record