Progress, Directions & Challenges
Presented at LiDAR Technologies 2011
May 30-31, Cairns, Australia
by: Nerida Wilson
(Phil Tickle & Chris Inskeep)
Geoscience Australia
2018 GIS Colorado: Your Geospatial Connection: DRCOG's Regional Planimetric P...GIS in the Rockies
The Denver Regional Council of Governments (DRCOG) has been facilitating an aerial photography project in our region since 2002. Funding comes from fifty partners, including local governments, public utilities, and public service providers. This collaborative partnership does two important things: it allows the group to buy expensive data that they could not afford on their own and it creates a common basemap for public entities to use for their planning and operations.
After the 2014 imagery project, the partners asked DRCOG to pursue a similar model for additional data. Specifically, they wanted planimetric features – delineations of the built environment – to be drawn from the high-resolution imagery product that we were already buying. With over twenty partners, we successfully completed a project to generate very detailed building roofprints, edge of pavement, sidewalks, parking lots and more. In addition, the products – which cover over 1100 square miles of the metro area - were made available for public download.
The partners and DRCOG had use cases in mind when purchasing the datasets including asset management and bike/pedestrian planning. After making this data open, we realized that others – including public, private, and academic entities – saw potential with the data as well. Since publishing it, we’ve seen a proliferation of uses in everything from technology startups to 3D modeling to energy research.
This project is an example of how open data can drive entrepreneurship, innovation, collaboration, and partnership.
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...Rudolf Husar
The document discusses environmental information systems for monitoring, assessment, and decision-making. It covers topics like spatial analysis, web-based information systems, sensor webs, spatial interpolation techniques, integrating satellite and surface monitoring data, and developing interoperable environmental information systems. The goal is to improve access to and use of environmental data for applications like air quality mapping and monitoring networks.
The document summarizes initiatives by the Obama administration that are relevant to the geospatial community, including increased transparency through Data.gov and Recovery.gov, and place-based accountability tools like ChesapeakeStat. It outlines opportunities for state and local involvement in these efforts and calls for collaboration within the geospatial community to engage and provide input that leverages their expertise.
the hybrid cloud[1] World Pipeline MagazineLayne Tucker
1. The document discusses a pilot project funded by the US Department of Transportation to test whether cloud and mobile technologies could improve pipeline risk management processes like damage prevention and integrity management.
2. The pilot project implemented ProStar's cloud-based geospatial solution called Transparent Earth to capture precise location data of buried pipelines using mobile devices, GPS, and pipe locators. This allowed real-time sharing of pipeline location and attribute data with field workers.
3. The pilot was successful, improving data collection, quality, and accessibility. Using cloud and mobile technologies enhanced workflows and supported compliance with new regulations.
2018 GIS Colorado: Your Geospatial Connection: DRCOG's Regional Planimetric P...GIS in the Rockies
The Denver Regional Council of Governments (DRCOG) has been facilitating an aerial photography project in our region since 2002. Funding comes from fifty partners, including local governments, public utilities, and public service providers. This collaborative partnership does two important things: it allows the group to buy expensive data that they could not afford on their own and it creates a common basemap for public entities to use for their planning and operations.
After the 2014 imagery project, the partners asked DRCOG to pursue a similar model for additional data. Specifically, they wanted planimetric features – delineations of the built environment – to be drawn from the high-resolution imagery product that we were already buying. With over twenty partners, we successfully completed a project to generate very detailed building roofprints, edge of pavement, sidewalks, parking lots and more. In addition, the products – which cover over 1100 square miles of the metro area - were made available for public download.
The partners and DRCOG had use cases in mind when purchasing the datasets including asset management and bike/pedestrian planning. After making this data open, we realized that others – including public, private, and academic entities – saw potential with the data as well. Since publishing it, we’ve seen a proliferation of uses in everything from technology startups to 3D modeling to energy research.
This project is an example of how open data can drive entrepreneurship, innovation, collaboration, and partnership.
2003-12-02 Environmental Information Systems for Monitoring, Assessment, and ...Rudolf Husar
The document discusses environmental information systems for monitoring, assessment, and decision-making. It covers topics like spatial analysis, web-based information systems, sensor webs, spatial interpolation techniques, integrating satellite and surface monitoring data, and developing interoperable environmental information systems. The goal is to improve access to and use of environmental data for applications like air quality mapping and monitoring networks.
The document summarizes initiatives by the Obama administration that are relevant to the geospatial community, including increased transparency through Data.gov and Recovery.gov, and place-based accountability tools like ChesapeakeStat. It outlines opportunities for state and local involvement in these efforts and calls for collaboration within the geospatial community to engage and provide input that leverages their expertise.
the hybrid cloud[1] World Pipeline MagazineLayne Tucker
1. The document discusses a pilot project funded by the US Department of Transportation to test whether cloud and mobile technologies could improve pipeline risk management processes like damage prevention and integrity management.
2. The pilot project implemented ProStar's cloud-based geospatial solution called Transparent Earth to capture precise location data of buried pipelines using mobile devices, GPS, and pipe locators. This allowed real-time sharing of pipeline location and attribute data with field workers.
3. The pilot was successful, improving data collection, quality, and accessibility. Using cloud and mobile technologies enhanced workflows and supported compliance with new regulations.
Coastal Urban DEM project - Mapping the vulnerability of Australia's CoastFungis Queensland
The Coastal Urban DEM Project aims to provide high resolution elevation data to support coastal risk assessment and adaptation planning in Australia. Over 60,000 square kilometers of LiDAR data has been acquired for 8 major urban areas, exceeding the original target of 20,000 square kilometers. This data and associated tools like the Visualising sea level rise tool are helping local governments and other decision makers better understand and plan for risks of coastal inundation from sea level rise and storms. However, more national analysis is still needed to understand risks from combined hazards and to assess adaptation options. Ongoing funding and data access models remain challenges.
This document discusses integrating the Exchange Network with the National Spatial Data Infrastructure (NSDI) to create NSDI 2.0. It proposes using open standards and web services to publish, search, and access geospatial and environmental data through online catalogs and services. This would allow data to be maintained locally but shared nationally to support infrastructure and environmental projects.
SDSC Technology Forum: Increasing the Impact of High Resolution Topography Da...OpenTopography Facility
High-resolution topography is a powerful tool for studying the Earth's surface, vegetation, and urban landscapes, with broad scientific, engineering, and educational-based applications. Over the past decade, there has been dramatic growth in the acquisition of these data for scientific, environmental, engineering and planning purposes. In the US, the U.S. Geological Society is undertaking the 3D Elevation Program (3DEP) to map the entire lower 48 with lidar by 2023.
The richness of these topography datasets make them extremely valuable beyond the application that drove their acquisition and thus are of interest to a large and varied user community. A cyberinfrastructure platform that enables users to efficiently discover, access and process these massive volumes of data increases the impact of investments in collection of the data and catalyzes scientific discovery as well as informs critical decisions that are made across our Nation every day that depend on elevation data, ranging from immediate safety of life, property, and environment to long term planning for infrastructure projects.
Join us to hear about the motivations, technology, and data assets behind the National Science Foundation funded OpenTopography platform, which aims to democratize access to high resolution topographic data. OpenTopography’s innovation is in co-locating massive volumes of topographic data with processing tools that enable users with varied expertise and application domains to quickly and easily access and process data, to enable innovation and decision making.
The document describes the development of a Hydrologic Community Modeling System (HCMS) using a workflow engine called TRIDENT. The HCMS will allow for modular and integrated hydrologic models with interchangeable components. It will include libraries for data access, processing, hydrologic models, and post-analysis tools. Example applications to the Schuylkill Watershed are provided to demonstrate watershed delineation, hydrologic response unit creation, meteorological data processing, and potential evapotranspiration calculation workflows.
Case study: Programme on Climate Information for Resilient Development in Afr...ExternalEvents
http://www.fao.org/in-action/naps/resources/webinars/en/
The NAP-Ag webinar on Climate Information Services in Adaptation Planning for Agriculture will provide insights into the role of Climate Information Services (CIS) in planning for adaptation in agricultural sectors. Country case studies and extended exploration of best practices will create a strong learning environment for country-to-country exchange on institutional arrangements, and gaps in Climate Information Services for the implementation and formulation of National Adaptation Plans. This webinar is a follow up to the March 2017 peer-to-peer exchange on “Effective Climate Information Services for Agriculture in ASEAN.”
Programme on Climate Information for Resilient Development in AfricaUNDP Climate
The NAP-Ag webinar on The Role of Climate Information Services in Adaptation Planning for Agriculture provided insights into the role of Climate Information Services (CIS) in planning for adaptation in agricultural sectors.
FME Around the World (FME Trek Part 1): Ken Bragg - Safe Software FME World T...IMGS
Aim: "To seek out innovative FME users
throughout the galaxy, sharing
their stories and ideas to inspire
you to take your data where no
data has gone before."
This document provides information on the CEOP-AEGIS contribution to the GEOSS Data CORE. It discusses how CEOP-AEGIS will integrate hydrometeorological data from large transnational river basins, such as the Qinghai-Tibet Plateau and major rivers in Southeast Asia. The document outlines how CEOP-AEGIS will make this data freely available through its portal and contribute to the GEOSS water theme by providing documents, datasets, and services related to topics like drought monitoring, flood forecasting, and water balance modeling.
This document contains the resume of Dr. A. Vivekananth, who has 10 years of experience in groundwater, remote sensing, and GIS projects. He currently works as a project manager at Geofiny Technologies, where he oversees multiple projects simultaneously, coordinates project teams, and ensures projects are completed on schedule. His experience includes projects related to water resource management, geological and land use mapping using remote sensing, cadastral mapping, and lidar data processing. He has a PhD in groundwater assessment and postgraduate diplomas in GIS management.
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...grssieee
The LANCE system provides near real-time satellite data from NASA instruments within 3 hours of observation for applications such as weather forecasting, monitoring natural hazards, and agricultural monitoring. It leverages existing EOS processing and distribution capabilities. Products include MODIS imagery, AIRS temperature and moisture profiles, and OMI measurements of ozone and sulfur dioxide. The system aims to improve latency and provide a one-stop shop for users through the LANCE web portal.
The document discusses RADARSAT-2 data utilization by the Government of Canada and applications of the data. It provides an overview of why the Government manages a data allocation for RADARSAT-2, who the main users/stakeholders are, and examples of applications including maritime surveillance, ice monitoring, topographic mapping, and change detection. It also discusses plans for the upcoming RADARSAT Constellation Mission, which will provide improved coverage compared to RADARSAT-2.
This document describes an ongoing project between Front Range Community College's GIS Department and the City of Loveland, Colorado to analyze aerial, satellite, and LiDAR data for municipal projects. It outlines the project goals of processing over 1 terabyte of data using student resources, developing workflows to extract tree canopy data, and examining other potential applications. It then provides examples of the data types and resulting products, including tree height estimations, canopy footprints, and classifications of tree species from WorldView satellite imagery. Challenges discussed include large data volumes, limited processing capabilities, complex workflows, and tool limitations.
2004-10-15 SHAirED: Services for Helping the Air-quality Community use ESE DataRudolf Husar
The document describes the SHAirED project which aims to develop web services and applications to help users access and analyze air quality data from NASA, EPA, and other sources. The project will create data access services, processing tools, and a way to combine services to build customized applications. A key goal is to advance existing data sharing infrastructure called DataFed to higher levels of technological readiness.
Modern tools and techniques can help address challenges in water data management. Water data management platforms use data sharing platforms to integrate data from multiple agencies in a standardized format. These platforms incorporate a hydrological geofabric to establish a single point of truth for water mapping, and use cloud computing to provide scalable access and analysis of large water datasets. For example, a demonstration showed how sensor data, water storage data, and river flow models could be integrated in a sensor cloud to help manage water sharing in a catchment.
Birds, Bats and Beyond. What’s that got to do with Water? - Nick Elderfield (...Stephen Flood
2015 DHI UK & Ireland Symposium
Birds, Bats and Beyond – What’s that got to do with Water?
Nick Elderfield (DHI),
Tuesday 21 April 2015 at 12:40 - 13:00
Innovation in modelling water environments is what DHI has been about for over 50 years. A detailed understanding of the controlling physical conditions, coupled with a behavioural knowledge of critical species dependant on the water environment, provides a scientifically robust approach to assessing historic and future change spatially and temporally. Our habitat modelling approach has been successfully applied on a number of projects in the UK and the wider North Sea region, combining expertise in water environments with the critical issues for today’s projects. Models always rely on data and, to this end, DHI have developed sensing technologies from low cost, web-ready devices to integrated observation systems for birds and mammals.
Transmission Distribution World September 2010 - Spatial Data AccuracyJustin Eldridge
EnergyAustralia undertook a project to improve the accuracy of its digital cadastre database (DCDB) which contained inaccurate spatial data, posing safety risks. It collaborated with other utilities, government agencies, and a contractor to adjust over 1 million land parcels and network assets. This involved analyzing source data, identifying required shifts, maintaining parcel shapes, and quality assurance. The project significantly improved safety and allowed more efficient network management, design, and maintenance through integrated accurate spatial data.
Bridging the gap to facilitate selection and image analysis activities for la...Phidias
PHIDIAS organised it's third and final PHIDIAS Webinar of the series, this time dedicated to Use Case 2: Big Data Earth Observations (EO), took place on 18 February 2021 at 15:00 CET, showcasing how PHIDIAS is taking advantage of HPC architecture to facilitate selection and image analysis activities for land surface monitoring.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Coastal Urban DEM project - Mapping the vulnerability of Australia's CoastFungis Queensland
The Coastal Urban DEM Project aims to provide high resolution elevation data to support coastal risk assessment and adaptation planning in Australia. Over 60,000 square kilometers of LiDAR data has been acquired for 8 major urban areas, exceeding the original target of 20,000 square kilometers. This data and associated tools like the Visualising sea level rise tool are helping local governments and other decision makers better understand and plan for risks of coastal inundation from sea level rise and storms. However, more national analysis is still needed to understand risks from combined hazards and to assess adaptation options. Ongoing funding and data access models remain challenges.
This document discusses integrating the Exchange Network with the National Spatial Data Infrastructure (NSDI) to create NSDI 2.0. It proposes using open standards and web services to publish, search, and access geospatial and environmental data through online catalogs and services. This would allow data to be maintained locally but shared nationally to support infrastructure and environmental projects.
SDSC Technology Forum: Increasing the Impact of High Resolution Topography Da...OpenTopography Facility
High-resolution topography is a powerful tool for studying the Earth's surface, vegetation, and urban landscapes, with broad scientific, engineering, and educational-based applications. Over the past decade, there has been dramatic growth in the acquisition of these data for scientific, environmental, engineering and planning purposes. In the US, the U.S. Geological Society is undertaking the 3D Elevation Program (3DEP) to map the entire lower 48 with lidar by 2023.
The richness of these topography datasets make them extremely valuable beyond the application that drove their acquisition and thus are of interest to a large and varied user community. A cyberinfrastructure platform that enables users to efficiently discover, access and process these massive volumes of data increases the impact of investments in collection of the data and catalyzes scientific discovery as well as informs critical decisions that are made across our Nation every day that depend on elevation data, ranging from immediate safety of life, property, and environment to long term planning for infrastructure projects.
Join us to hear about the motivations, technology, and data assets behind the National Science Foundation funded OpenTopography platform, which aims to democratize access to high resolution topographic data. OpenTopography’s innovation is in co-locating massive volumes of topographic data with processing tools that enable users with varied expertise and application domains to quickly and easily access and process data, to enable innovation and decision making.
The document describes the development of a Hydrologic Community Modeling System (HCMS) using a workflow engine called TRIDENT. The HCMS will allow for modular and integrated hydrologic models with interchangeable components. It will include libraries for data access, processing, hydrologic models, and post-analysis tools. Example applications to the Schuylkill Watershed are provided to demonstrate watershed delineation, hydrologic response unit creation, meteorological data processing, and potential evapotranspiration calculation workflows.
Case study: Programme on Climate Information for Resilient Development in Afr...ExternalEvents
http://www.fao.org/in-action/naps/resources/webinars/en/
The NAP-Ag webinar on Climate Information Services in Adaptation Planning for Agriculture will provide insights into the role of Climate Information Services (CIS) in planning for adaptation in agricultural sectors. Country case studies and extended exploration of best practices will create a strong learning environment for country-to-country exchange on institutional arrangements, and gaps in Climate Information Services for the implementation and formulation of National Adaptation Plans. This webinar is a follow up to the March 2017 peer-to-peer exchange on “Effective Climate Information Services for Agriculture in ASEAN.”
Programme on Climate Information for Resilient Development in AfricaUNDP Climate
The NAP-Ag webinar on The Role of Climate Information Services in Adaptation Planning for Agriculture provided insights into the role of Climate Information Services (CIS) in planning for adaptation in agricultural sectors.
FME Around the World (FME Trek Part 1): Ken Bragg - Safe Software FME World T...IMGS
Aim: "To seek out innovative FME users
throughout the galaxy, sharing
their stories and ideas to inspire
you to take your data where no
data has gone before."
This document provides information on the CEOP-AEGIS contribution to the GEOSS Data CORE. It discusses how CEOP-AEGIS will integrate hydrometeorological data from large transnational river basins, such as the Qinghai-Tibet Plateau and major rivers in Southeast Asia. The document outlines how CEOP-AEGIS will make this data freely available through its portal and contribute to the GEOSS water theme by providing documents, datasets, and services related to topics like drought monitoring, flood forecasting, and water balance modeling.
This document contains the resume of Dr. A. Vivekananth, who has 10 years of experience in groundwater, remote sensing, and GIS projects. He currently works as a project manager at Geofiny Technologies, where he oversees multiple projects simultaneously, coordinates project teams, and ensures projects are completed on schedule. His experience includes projects related to water resource management, geological and land use mapping using remote sensing, cadastral mapping, and lidar data processing. He has a PhD in groundwater assessment and postgraduate diplomas in GIS management.
WE1.L10 - IMPLEMENTATION OF THE LAND, ATMOSPHERE NEAR-REAL-TIME CAPABILITY FO...grssieee
The LANCE system provides near real-time satellite data from NASA instruments within 3 hours of observation for applications such as weather forecasting, monitoring natural hazards, and agricultural monitoring. It leverages existing EOS processing and distribution capabilities. Products include MODIS imagery, AIRS temperature and moisture profiles, and OMI measurements of ozone and sulfur dioxide. The system aims to improve latency and provide a one-stop shop for users through the LANCE web portal.
The document discusses RADARSAT-2 data utilization by the Government of Canada and applications of the data. It provides an overview of why the Government manages a data allocation for RADARSAT-2, who the main users/stakeholders are, and examples of applications including maritime surveillance, ice monitoring, topographic mapping, and change detection. It also discusses plans for the upcoming RADARSAT Constellation Mission, which will provide improved coverage compared to RADARSAT-2.
This document describes an ongoing project between Front Range Community College's GIS Department and the City of Loveland, Colorado to analyze aerial, satellite, and LiDAR data for municipal projects. It outlines the project goals of processing over 1 terabyte of data using student resources, developing workflows to extract tree canopy data, and examining other potential applications. It then provides examples of the data types and resulting products, including tree height estimations, canopy footprints, and classifications of tree species from WorldView satellite imagery. Challenges discussed include large data volumes, limited processing capabilities, complex workflows, and tool limitations.
2004-10-15 SHAirED: Services for Helping the Air-quality Community use ESE DataRudolf Husar
The document describes the SHAirED project which aims to develop web services and applications to help users access and analyze air quality data from NASA, EPA, and other sources. The project will create data access services, processing tools, and a way to combine services to build customized applications. A key goal is to advance existing data sharing infrastructure called DataFed to higher levels of technological readiness.
Modern tools and techniques can help address challenges in water data management. Water data management platforms use data sharing platforms to integrate data from multiple agencies in a standardized format. These platforms incorporate a hydrological geofabric to establish a single point of truth for water mapping, and use cloud computing to provide scalable access and analysis of large water datasets. For example, a demonstration showed how sensor data, water storage data, and river flow models could be integrated in a sensor cloud to help manage water sharing in a catchment.
Birds, Bats and Beyond. What’s that got to do with Water? - Nick Elderfield (...Stephen Flood
2015 DHI UK & Ireland Symposium
Birds, Bats and Beyond – What’s that got to do with Water?
Nick Elderfield (DHI),
Tuesday 21 April 2015 at 12:40 - 13:00
Innovation in modelling water environments is what DHI has been about for over 50 years. A detailed understanding of the controlling physical conditions, coupled with a behavioural knowledge of critical species dependant on the water environment, provides a scientifically robust approach to assessing historic and future change spatially and temporally. Our habitat modelling approach has been successfully applied on a number of projects in the UK and the wider North Sea region, combining expertise in water environments with the critical issues for today’s projects. Models always rely on data and, to this end, DHI have developed sensing technologies from low cost, web-ready devices to integrated observation systems for birds and mammals.
Transmission Distribution World September 2010 - Spatial Data AccuracyJustin Eldridge
EnergyAustralia undertook a project to improve the accuracy of its digital cadastre database (DCDB) which contained inaccurate spatial data, posing safety risks. It collaborated with other utilities, government agencies, and a contractor to adjust over 1 million land parcels and network assets. This involved analyzing source data, identifying required shifts, maintaining parcel shapes, and quality assurance. The project significantly improved safety and allowed more efficient network management, design, and maintenance through integrated accurate spatial data.
Bridging the gap to facilitate selection and image analysis activities for la...Phidias
PHIDIAS organised it's third and final PHIDIAS Webinar of the series, this time dedicated to Use Case 2: Big Data Earth Observations (EO), took place on 18 February 2021 at 15:00 CET, showcasing how PHIDIAS is taking advantage of HPC architecture to facilitate selection and image analysis activities for land surface monitoring.
Similar to The National Elevation Data Framework (20)
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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42. More Information…. Contact: Nerida Wilson 02 6249 9254 Email: [email_address] NEDF-Portal: http:// nedf.ga.gov.au GA website: http://www.ga.gov.au/topographic-mapping/digital-elevation-data.html
Editor's Notes
Data Needs for Australia Climate Change – Monitoring sea level rise over time, prioritiising land zoning, land use Water Resources – improving the Australian Hydrological Geospatial Fabric by including higher resolution data to resolve network anomalies. Environmental and Natural Resource Management – Developing higher resolution elevation databases to meet the needs of resource managers. The use of LiDAR data to understand bare earth models with Canopy models. Modeling fuel loads, forest biomass, ability to give advice of forest health. Communications and Transport – the use of elevation data to plan communications infrastructure (Mobile Phone Towers,and other). Use of elevation data to develop engine management systems for heavy transport (eg US transport savings of $40m) urban/industrial infrastructure development – the use of high resolution data for modeling proposed developments as a pre survey option Emergency Management –the use of elevation data along with other GIS data sets to model fire behaviour (expert systems in GIS)
9”, SRTM 3” , SRTM 1” cleaned, 25 m NSW, Lidar Main message here: 1 second SRTM captures shapes markedly better than 3 second, and in a lot of cases better than regional contour-based 20-30 m DEMs. Apart from the LIDAR, the 1” SRTM is the best of the bunch (or will be once the smart smoothing has been done) Option 2- is this better than the greyscale one. Check regional DEM res and is it 5m LiDAR or 1m? 9”, SRTM 3” , SRTM 1” cleaned, 25 m NSW, Lidar Main message here: 1 second SRTM captures shapes markedly better than 3 second, and in a lot of cases better than regional contour-based 20-30 m DEMs. Apart from the LIDAR, the 1” SRTM is the best of the bunch (or will be once the smart smoothing has been done)
Geodata 9 sec DEM – Developed by ANU over a 20 year period, is the base product for the development of the Australian Hydrological Geospatial fabric Free unrestricted national dataset. Regional DEM’s in a variety of resolutions developed by state organisations for specific purposes. Example: Victorian VicMap Elevation 5m DTM. Existing contours spot height hydro-network data for the development of 9 second DEM SRTM (Shuttle Radar Topographic Mission) 3 Second unrestricted National Dataset to be released under creative commons (Work still in progress), and 1 Second Government Restricted National Dataset (version 1.0 Released Dec 2009) ALOS (The Advanced Land Observing Satellite) and Spot HRS (High Resolution stereo imagery) Tandem-X (space borne radar remote sensing) Lidar (Light detection and Ranging) Traditional ground surveys Note: All data within the portal has value from the coarse 9 second Dem to the high resolution LiDAR the portal provides, it relates to the purpose the data is to be used for.
Governance structures that enhance coordination and cooperation across all levels of government and industry Mechanisms for funding which promote cost sharing, and coordination of data acquisitions which meet whole of government requirements. Technical standards which maximise the utility and interoperability of data Access, distribution and use arrangements which ensure information is discoverable, accessible and able to be used (without restriction) by government, industry and the community for improved decision making. Industry development and capacity building to help grow the ability of industry to meet the expanding needs of Australia in this area of technology. Enhancing access to information across all levels of government, industry, academia and the community Minimising duplication of effort Increasing the utility of data by developing and promoting flexible standards that meet the needs of users and providers and “future proof” our investment in data. Promoting industry development through the coordination of acquisition programs, adoption of standards, partnerships and development of appropriate licensing arrangements. Influencing the development of national and international capacity to mitigate and adapt to the impacts of climate change
Example of the better quality information from SRTM compared to best available information on catchment boundaries. 10 km shift in catchment boundary. Grey – 9 sec derived catchments (MDB derived catchment using 9 sec) Black – 1 sec derived catchments AWRC – derived from 9 sec DEM drainage divisions Profile – differences between heights of black and grey line.
Managed by the CRCSI under contract to the Department of Climate Change with significant project and technical support from GA and ANZLIC LiDAR and imagery valued at approximately $5 million has been acquired for ~$1 million in project funding with whole of government licensing. An additional ~$10 million of LiDAR has also been accessed under restricted Commonwealth licensing in VIC and WA.
Approximately 20,000sqkm of LiDAR has been acquired over Darwin, greater Perth, Adelaide, Melbourne, Sydney, NSW Hunter coast and South East Qld with Whole of Government Licensing.