The document discusses Landmap, which provides the UK academic community access to satellite and aerial imagery datasets through their data and metadata collections. It aims to enable students and researchers from various disciplines to incorporate spatial data into their research. Landmap is working to increase awareness and access to its spatial data by delivering open educational resources, providing metadata in ISO and linked data formats, and developing new OGC web services like WPS. The goal is to build a geoknowledge community and support cutting edge research across disciplines using spatial data.
The document provides an overview of the Satellite Image Data Service (SIDS), which provides satellite imagery online for UK academics. It discusses SIDS's data archive, development activities including processing ASAR data and extending data access through OGC services, and learning materials like an image processing course. Future goals include expanding data holdings, extending web mapping clients, and obtaining 5 more years of JISC funding.
An Academic SDI: Introducing the Enhanced Kaia Geoportal & Learning ZoneGail Millin-Chalabi
The presentation outlined enhancements to the Kaia Geoportal and Learning Zone, which provide access to geospatial data and educational resources for UK academics. Key points included: (1) Improving the user experience of the Kaia Geoportal. (2) Expanding the Learning Zone to include additional courses and open educational content. (3) Promoting Spatial Science for Schools and other new educational resources. The goal is to continue enhancing access to high quality spatial data and learning materials for the UK academic community.
GeoKnowledge: Providing E-Learning Resources for UK AcademiaGail Millin-Chalabi
The document describes the GeoKnowledge project which aims to provide e-learning resources for UK academia through the Landmap service. It outlines the collaborations, modules, and pedagogical and technological framework developed. Trials were conducted and feedback was gathered. The project aims to enhance spatial literacy through online learning materials utilizing datasets like aerial photography, LiDAR and satellite imagery. Future workshops and additional content are planned based on user needs.
This presentation was part of a webinar run by Jisc RSC on 03/06/14 called 'Learning Providers as MakARs - how Augmented Reality is being used in practice'.
A presentation about how data from Digimap has helped to find quarries used in the production of stone for Hadrian's Wall. The research was carried out by Kathleen O'Donnell as part of her MSC and will be continued in a PhD.
This webinar covered tools from the UK Data Service Census Support for working with UK census data, boundaries, and postcodes. It demonstrated how to use the Boundary Data Selector to download census boundaries, the Thematic Mapper to create choropleth maps from census data, and the Postcode Data Selector to extract postcode data and add lookups to other geographies. The webinar provided an overview of the UK census and types of data available, and explained how these online tools can be used to access and visualize UK census and geographic data.
Slides used in Digimap Collections training courses in April 2013.
Digimap Collections provides mapping data of GB to licensed UK educational institutions.
Slides given an introduction to the Collections, then cover Digimap Roam mapping service plus the Data Download service.
The document provides an overview of the Satellite Image Data Service (SIDS), which provides satellite imagery online for UK academics. It discusses SIDS's data archive, development activities including processing ASAR data and extending data access through OGC services, and learning materials like an image processing course. Future goals include expanding data holdings, extending web mapping clients, and obtaining 5 more years of JISC funding.
An Academic SDI: Introducing the Enhanced Kaia Geoportal & Learning ZoneGail Millin-Chalabi
The presentation outlined enhancements to the Kaia Geoportal and Learning Zone, which provide access to geospatial data and educational resources for UK academics. Key points included: (1) Improving the user experience of the Kaia Geoportal. (2) Expanding the Learning Zone to include additional courses and open educational content. (3) Promoting Spatial Science for Schools and other new educational resources. The goal is to continue enhancing access to high quality spatial data and learning materials for the UK academic community.
GeoKnowledge: Providing E-Learning Resources for UK AcademiaGail Millin-Chalabi
The document describes the GeoKnowledge project which aims to provide e-learning resources for UK academia through the Landmap service. It outlines the collaborations, modules, and pedagogical and technological framework developed. Trials were conducted and feedback was gathered. The project aims to enhance spatial literacy through online learning materials utilizing datasets like aerial photography, LiDAR and satellite imagery. Future workshops and additional content are planned based on user needs.
This presentation was part of a webinar run by Jisc RSC on 03/06/14 called 'Learning Providers as MakARs - how Augmented Reality is being used in practice'.
A presentation about how data from Digimap has helped to find quarries used in the production of stone for Hadrian's Wall. The research was carried out by Kathleen O'Donnell as part of her MSC and will be continued in a PhD.
This webinar covered tools from the UK Data Service Census Support for working with UK census data, boundaries, and postcodes. It demonstrated how to use the Boundary Data Selector to download census boundaries, the Thematic Mapper to create choropleth maps from census data, and the Postcode Data Selector to extract postcode data and add lookups to other geographies. The webinar provided an overview of the UK census and types of data available, and explained how these online tools can be used to access and visualize UK census and geographic data.
Slides used in Digimap Collections training courses in April 2013.
Digimap Collections provides mapping data of GB to licensed UK educational institutions.
Slides given an introduction to the Collections, then cover Digimap Roam mapping service plus the Data Download service.
Big Just Got Bigger! discusses the challenges of managing large map collections through the Digimap service. Digimap provides access to geospatial data from various sources, including Ordnance Survey, British Geological Survey, aerial imagery, and more. It has grown significantly over time to include more data sources and users. Managing such large datasets and meeting user expectations of current data and performance presents challenges. Issues include keeping data current while sharing across platforms, disk storage needs increasing exponentially over time, and ensuring data can be accessed and used through various tools and formats.
Fieldtrip GB is a customisable mobile app for collecting mapping and field data. It allows users to [1] save maps for offline use, [2] create custom data collection forms, and [3] search, filter and export collected records. Developing such apps faces challenges like cost, rapid technology changes, and supporting multiple platforms/networks. The app addresses issues with open data mashups like labeling conflicts and alignment. It uses a client-server architecture with PhoneGap, OpenLayers and outsourced data storage. Future plans include more data types and augmented reality. The app aims to empower users and contribute to the "Sensed World Web".
Slides used in a Digimap webinar in February 2013. Covers available map data in the Digimap Collections (subscription services for UK further and higher edcation) and its use in ArcGIS. Information on data formats, data conversion tools and data styling.
The Cartogrammar project aimed to increase access and use of cartograms by developing an easy-to-use online cartogram generation tool. It created a robust application programming interface (API) and accompanying website to allow non-experts to generate and customize cartograms without needing specialized software or computational resources. The site includes an interface for generating bespoke cartograms, a gallery of user-submitted cartograms, and an embeddable widget so users can add cartogram generation to their own websites. This overcomes previous barriers to cartogram use related to complexity and computing requirements.
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.
This presentation introduces OSGIS, a project to create an API and website for generating cartograms. The goals are to enable social scientists to easily create, share, and reuse bespoke cartograms. The technology uses Celery, RabbitMQ, and ScapeToad to generate cartograms via a diffusion-based algorithm in a distributed manner. The API allows uploading shapefiles and generating cartograms, while the website provides an interface for non-technical users and a widget for embedding cartograms. The project is complete and seeking volunteer testers.
A talk by Dr. Phil Bartie about Spatial Data, how he has used it, issues of quality and how Digimap has helped him by making it available throughout his academic career.
The document provides an overview of the European Space Agency's (ESA) activities in the area of image information mining (IIM) and knowledge discovery from Earth observation data. It discusses ESA's motivation to foster the use of IIM technologies to improve access and exploitation of data from past, current, and future Earth observation missions like Sentinels. It summarizes several of ESA's key initiatives and systems in this area over the past decade, including the Image Information Mining Coordination Group, the Knowledge-based Information Mining prototype, Knowledge-centered Earth Observation platform, and Multi-temporal Evolution Analysis prototype. It also describes exploitation platforms and services ESA has developed to support the scientific use and mining of Earth observation data.
Since last year:
THIRD SUCCESSFUL QUAD LAUNCH in July 2018 with ARIANE V
26 Satellites in orbit
Initial SERVICES beyond expectation
New procurement initiated for subsequent satellites
Commercial Service re-baselined
Emergency Warning Service under definition
Launch of User Consultation Platform
Towards Galileo 2nd GENERATION decision
The Value Added Element (VAE) and Data User Element (DUE) are two programmatic components of the Earth Observation Envelope Programme (EOEP), an optional programme of the European Space Agency, currently subscribed by 20 ESA Member States. While the DUE mission focuses on the establishment of a long-term relationship between the User communities and Earth Observation in support of major environmental conventions, the VAE focuses on developing the European and Canadian EO Services Industry in growing the prospects of sustainable use of EO-based information the operations of non-EO businesses and organisations.
FME World Tour 2016: INSPIRE data harmonisation with FME (GIM)GIM_nv
This document discusses the INSPIRE Directive, which aims to create a European Union spatial data infrastructure. It seeks to harmonize geographic data across borders by establishing common data specifications. The summary discusses how FME software can help organizations collect, harmonize, and share geospatial data to comply with INSPIRE standards by automating workflows for data transformation, quality checks, and publishing services. FME offers a no-code solution to help manage complex INSPIRE data mapping and prepare data to be discoverable and usable across Europe.
With the growing support for Renewable Energy resources, learn how Integrated's premiere application Geomancy Decision Engine can be applied to determining asset placement for this budding industry. Originally presented at Newleef (Newfoundland & Labrador's Green Economy Conference) by Jimena Martinez Ramos, this presentation outlines the potential for customization and location of resource placement with this Add-In to ArcGIS.
Upcoming Datasets: Global wind map, Jake Badger ( Risoe DTU)IRENA Global Atlas
Upcoming Datasets: Global wind map. A presentation by Jake Badger ( Risoe DTU) during the Global Atlas side event which held at the World Future Energy Summit in 2014
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
European Spatial Data Infrastructure - INSPIRE and beyond inspireeu
This document provides an overview of the European Spatial Data Infrastructure INSPIRE and discusses related activities. It describes the key components and implementing rules of INSPIRE, outlines the implementation roadmap, and reviews the scope of spatial data themes covered under INSPIRE annexes. It also discusses the INSPIRE Maintenance and Implementation Framework, two Joint Research Centre led actions under the Interoperability Solutions for European Public Administrations program (ARE3NA and EULF), and indicates potential areas of interaction between INGeoCloudS and INSPIRE/ISA initiatives.
The document discusses the INSPIRE Geoportal, which provides centralized access to INSPIRE infrastructure and resources across Europe. It describes the geoportal's architecture and how it connects national discovery and view services to allow for cross-border data discovery and visualization. The geoportal aims to support European policymaking by providing a user-friendly interface that complies with INSPIRE directives and technical standards. Practical exercises demonstrate how users can search for and access spatial data and services through the INSPIRE Geoportal.
This document summarizes a method for mapping the spatial distribution of land cover classification errors. The method uses indicator kriging to map the local mean error for each thematic class based on a confusion matrix. It then maps the spatial dispersion of classification errors through stochastic simulation that considers the spatial continuity of each land cover class error and varying error patterns over the classification area. The results include mean and variance images that show the spatial distribution of classification errors.
Here are the basic steps to start Image Analysis for ArcGIS:
1. Open ArcMap and add an image to your map. The image can be in a file geodatabase, personal geodatabase, or folder.
2. Click the Image Analysis button on the ArcMap toolbar to open the Image Analysis window.
3. In the Image Analysis window, click the Tools menu and select the tool you want to use, such as Histogram Stretch.
4. Configure the tool settings as needed and click OK to apply the tool to your image.
5. The results will display in your image layer in ArcMap.
6. Save your map document to preserve the changes made by the Image
Big Just Got Bigger! discusses the challenges of managing large map collections through the Digimap service. Digimap provides access to geospatial data from various sources, including Ordnance Survey, British Geological Survey, aerial imagery, and more. It has grown significantly over time to include more data sources and users. Managing such large datasets and meeting user expectations of current data and performance presents challenges. Issues include keeping data current while sharing across platforms, disk storage needs increasing exponentially over time, and ensuring data can be accessed and used through various tools and formats.
Fieldtrip GB is a customisable mobile app for collecting mapping and field data. It allows users to [1] save maps for offline use, [2] create custom data collection forms, and [3] search, filter and export collected records. Developing such apps faces challenges like cost, rapid technology changes, and supporting multiple platforms/networks. The app addresses issues with open data mashups like labeling conflicts and alignment. It uses a client-server architecture with PhoneGap, OpenLayers and outsourced data storage. Future plans include more data types and augmented reality. The app aims to empower users and contribute to the "Sensed World Web".
Slides used in a Digimap webinar in February 2013. Covers available map data in the Digimap Collections (subscription services for UK further and higher edcation) and its use in ArcGIS. Information on data formats, data conversion tools and data styling.
The Cartogrammar project aimed to increase access and use of cartograms by developing an easy-to-use online cartogram generation tool. It created a robust application programming interface (API) and accompanying website to allow non-experts to generate and customize cartograms without needing specialized software or computational resources. The site includes an interface for generating bespoke cartograms, a gallery of user-submitted cartograms, and an embeddable widget so users can add cartogram generation to their own websites. This overcomes previous barriers to cartogram use related to complexity and computing requirements.
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.
This presentation introduces OSGIS, a project to create an API and website for generating cartograms. The goals are to enable social scientists to easily create, share, and reuse bespoke cartograms. The technology uses Celery, RabbitMQ, and ScapeToad to generate cartograms via a diffusion-based algorithm in a distributed manner. The API allows uploading shapefiles and generating cartograms, while the website provides an interface for non-technical users and a widget for embedding cartograms. The project is complete and seeking volunteer testers.
A talk by Dr. Phil Bartie about Spatial Data, how he has used it, issues of quality and how Digimap has helped him by making it available throughout his academic career.
The document provides an overview of the European Space Agency's (ESA) activities in the area of image information mining (IIM) and knowledge discovery from Earth observation data. It discusses ESA's motivation to foster the use of IIM technologies to improve access and exploitation of data from past, current, and future Earth observation missions like Sentinels. It summarizes several of ESA's key initiatives and systems in this area over the past decade, including the Image Information Mining Coordination Group, the Knowledge-based Information Mining prototype, Knowledge-centered Earth Observation platform, and Multi-temporal Evolution Analysis prototype. It also describes exploitation platforms and services ESA has developed to support the scientific use and mining of Earth observation data.
Since last year:
THIRD SUCCESSFUL QUAD LAUNCH in July 2018 with ARIANE V
26 Satellites in orbit
Initial SERVICES beyond expectation
New procurement initiated for subsequent satellites
Commercial Service re-baselined
Emergency Warning Service under definition
Launch of User Consultation Platform
Towards Galileo 2nd GENERATION decision
The Value Added Element (VAE) and Data User Element (DUE) are two programmatic components of the Earth Observation Envelope Programme (EOEP), an optional programme of the European Space Agency, currently subscribed by 20 ESA Member States. While the DUE mission focuses on the establishment of a long-term relationship between the User communities and Earth Observation in support of major environmental conventions, the VAE focuses on developing the European and Canadian EO Services Industry in growing the prospects of sustainable use of EO-based information the operations of non-EO businesses and organisations.
FME World Tour 2016: INSPIRE data harmonisation with FME (GIM)GIM_nv
This document discusses the INSPIRE Directive, which aims to create a European Union spatial data infrastructure. It seeks to harmonize geographic data across borders by establishing common data specifications. The summary discusses how FME software can help organizations collect, harmonize, and share geospatial data to comply with INSPIRE standards by automating workflows for data transformation, quality checks, and publishing services. FME offers a no-code solution to help manage complex INSPIRE data mapping and prepare data to be discoverable and usable across Europe.
With the growing support for Renewable Energy resources, learn how Integrated's premiere application Geomancy Decision Engine can be applied to determining asset placement for this budding industry. Originally presented at Newleef (Newfoundland & Labrador's Green Economy Conference) by Jimena Martinez Ramos, this presentation outlines the potential for customization and location of resource placement with this Add-In to ArcGIS.
Upcoming Datasets: Global wind map, Jake Badger ( Risoe DTU)IRENA Global Atlas
Upcoming Datasets: Global wind map. A presentation by Jake Badger ( Risoe DTU) during the Global Atlas side event which held at the World Future Energy Summit in 2014
Application packaging and systematic processing in earth observation exploita...terradue
An overview of Terradue's solutions supporting Earth Observations (EO) Exploitation Platforms across multiple domains.
Presentation done as part of the Open Geospatial Consortium (OGC) Technical Committee ad-hoc meeting for the setup of a new domain working group on EO Exploitation Platforms.
European Spatial Data Infrastructure - INSPIRE and beyond inspireeu
This document provides an overview of the European Spatial Data Infrastructure INSPIRE and discusses related activities. It describes the key components and implementing rules of INSPIRE, outlines the implementation roadmap, and reviews the scope of spatial data themes covered under INSPIRE annexes. It also discusses the INSPIRE Maintenance and Implementation Framework, two Joint Research Centre led actions under the Interoperability Solutions for European Public Administrations program (ARE3NA and EULF), and indicates potential areas of interaction between INGeoCloudS and INSPIRE/ISA initiatives.
The document discusses the INSPIRE Geoportal, which provides centralized access to INSPIRE infrastructure and resources across Europe. It describes the geoportal's architecture and how it connects national discovery and view services to allow for cross-border data discovery and visualization. The geoportal aims to support European policymaking by providing a user-friendly interface that complies with INSPIRE directives and technical standards. Practical exercises demonstrate how users can search for and access spatial data and services through the INSPIRE Geoportal.
This document summarizes a method for mapping the spatial distribution of land cover classification errors. The method uses indicator kriging to map the local mean error for each thematic class based on a confusion matrix. It then maps the spatial dispersion of classification errors through stochastic simulation that considers the spatial continuity of each land cover class error and varying error patterns over the classification area. The results include mean and variance images that show the spatial distribution of classification errors.
Here are the basic steps to start Image Analysis for ArcGIS:
1. Open ArcMap and add an image to your map. The image can be in a file geodatabase, personal geodatabase, or folder.
2. Click the Image Analysis button on the ArcMap toolbar to open the Image Analysis window.
3. In the Image Analysis window, click the Tools menu and select the tool you want to use, such as Histogram Stretch.
4. Configure the tool settings as needed and click OK to apply the tool to your image.
5. The results will display in your image layer in ArcMap.
6. Save your map document to preserve the changes made by the Image
Digital image classification is the process of sorting pixels into categories based on their spectral values. There are supervised and unsupervised classification methods. Supervised classification involves using training sites of known categories to define statistical signatures for each class. Unsupervised classification groups pixels into clusters without prior class definitions. Validation is needed to assess classification accuracy by comparing results to ground truth data. Factors like training site selection and signature separability impact classification performance.
ERDAS IMAGINE is a remote sensing image processing software that allows users to import imagery from satellite and aerial platforms and extract useful geospatial information. It has three product tiers - Essentials, Advantage, and Professional - that scale in functionality. The software also includes additional specialized modules like Virtual GIS and Radar Mapping Suite. ERDAS IMAGINE enables tasks like land cover classification, camera placement, integration with Google Earth and Bing Maps, measurement of vertical features, map report generation, and flood modeling.
This document discusses ERDAS APOLLO Essentials' image serving technology. It highlights that (1) managing geospatial imagery is challenging due to increasing data sizes, resolutions, and user demands for speed; (2) ERDAS APOLLO Essentials helps organizations reduce storage needs and accelerate delivery through techniques like ECW compression and tile caching; and (3) case studies demonstrate the technology can compress large imagery by over 90% while maintaining visual quality and enabling faster access.
This document summarizes image classification techniques in remote sensing. It discusses two common classification methods: K-means clustering and Support Vector Machines (SVM). K-means clustering assigns pixels to the nearest cluster mean without direction from the analyst. SVM is a supervised technique that determines optimal boundaries between classes to maximize separation. The document provides examples of how each technique works and discusses their advantages and limitations for land cover mapping from remote sensing imagery.
Digital image classification involves:
1) Sorting pixels into classes based on their spectral values using algorithms like supervised maximum likelihood classification or unsupervised isodata clustering.
2) Analyzing spectral patterns by examining pixels in feature space rather than image space. Distances between pixel vectors in feature spaces define class boundaries.
3) Validating classification results to determine accuracy by comparing to reference data. Problems can occur and techniques continue improving.
Image classification and land cover mappingKabir Uddin
The document introduces land cover mapping techniques using satellite images, noting that land cover represents physical materials on Earth's surface and can be mapped through analysis of remotely sensed imagery or field surveys, with accurate land cover information supporting applications like planning, disaster management, and policy development.
Introduction to digital image processing, image processing, digital image, analog image, formation of digital image, level of digital image processing, components of a digital image processing system, advantages of digital image processing, limitations of digital image processing, fields of digital image processing, ultrasound imaging, x-ray imaging, SEM, PET, TEM
This presentation discusses digital image processing. It begins with definitions of digital images and digital image processing. Digital image processing focuses on improving images for human interpretation and processing images for machine perception. The history of digital image processing is then reviewed from the 1920s to today. Key examples of applications like medical imaging, satellite imagery, and industrial inspection are provided. The main stages of digital image processing are outlined, including image acquisition, enhancement, restoration, segmentation, and compression. The document concludes with an overview of a system for automatic face recognition using color-based segmentation.
Delivered by Peter Burnhill at Text Mining for Scholarly Communications and Repositories Joint Workshop, Manchester Interdisciplinary Biocentre, University of Manchester, 28-29 October 2009
AIRO is a research unit focused on improving evidence-informed planning in Ireland through collecting, analyzing, and providing spatial data and tools. It works with government, regional authorities, academics, and the private sector. AIRO helped visualize 2011 Census data through interactive maps on its website showing various demographic variables down to small area levels. It also developed all-island accessibility maps and holds data days and seminars on using Census data. AIRO makes datasets and outputs available through its open data store and provides QGIS training workshops to facilitate use of open source GIS software.
The FOODIE project aims to create a core data model and platform for sharing open farm data across Europe. The data model integrates information on agricultural facilities, farm activities, plots, and treatments. It is based on existing standards like INSPIRE and is implemented through a semantic server and front-end interfaces. The project involves 13 partners from 7 countries and will help farmers, advisors, and other stakeholders access and analyze agricultural data.
DRI Community Forum: Collection Focus - Transport Infrastructure Irelanddri_ireland
Presentation given by Rónán Swan, Head of Archaeology and Heritage at Transport Infrastructure Ireland, at the 2017 DRI Community Forum, discussing working with DRI and Discovery Programme to ingest archaeological reports from over 20 years of TII pre-road-building excavations.
This document provides a short update on the Integrated Carbon Observation System (ICOS) European Research Infrastructure Consortium (ERIC). It discusses ICOS governance structures, the labelling of 20 ecosystem stations and 15 atmosphere stations, as well as 13 ocean stations. It also outlines ICOS data flows and services, including standardized data processing, quality assurance and control, and data repositories. Finally, it discusses ICOS cooperation with other environmental research infrastructures and the ENVRI community.
A presentation given by Peter McKeague (Historic Environment Scotland), Anthony Corns (Discovery Programme, Ireland) and Axel Posluschny (University of Bamberg, Germany) at the European Archaeological Consilium annual meeting in Brighton, March 2015.
Geoscience Data Transfers Standards: EarthResourceML and GeoSciML, tools to d...Minerals4EU
Jouni Vuollo (GTK) presented EarthResourceML and GeoSciML, tools to deliver mineral resources data in EU and globally, at the first international conference on Minerals in Circular Economy, Finland, 26-27 November 2014. Conference website: www.mince.fi
The Go-Geo! Spatial Data Portal provides a discovery and research tool for UK academics to find geospatial resources. It includes over 2,820 searchable geospatial datasets and metadata records. Go-Geo! also provides geospatial metadata best practices and guidelines, metadata editing and publishing tools, workshops and training to support the use and sharing of spatial data across UK academia.
Reliance is contributing research enabling services to EOSC Exchange to support open science. The services enhance discovery and access to research data like Earth observation datasets, extract knowledge from text, and manage the research lifecycle. Key services include a Research Object management platform to integrate and share research resources, an advanced geospatial data management platform, and text mining services. Reliance services are being demonstrated with earth science communities and integrate with other EOSC services.
What LTE Parameters need to be Dimensioned and OptimizedHoracio Guillen
How to Dimension user Traffic in 4G networks
What is the best LTE Configuration
Spectrum analysis for LTE System
MIMO: What is real, What is Wishful thinking
LTE Measurements what they mean and how they are used
How to consider Overhead in LTE Dimensioning and What is the impact
How to take into account customer experience when Designing a Wireless Network
This document outlines the purpose and activities of the Initiative for Carbon Accounting (ICARB). ICARB aims to bring together technical experts, policymakers, and practitioners to develop consistent and accurate carbon accounting tools. It discusses past and future workshops focusing on sectors like energy, buildings, agriculture, and waste. The document also lists previous carbon accounting conferences held in Westminster and the Scottish Parliament to share knowledge on meeting Scotland's climate change targets.
European Long-term Ecosystem and Socio Ecological Research Infrastructure (eL...Innovate UK
Lessons learned under the 2013 call for “integrating and opening research infrastructures of European interest” by Terry Parr
How the starting community was set up and how it evolved from 2012 (or earlier) un.l
submission in 2014:
1. How will we know we are succeeding?
• Early contacts and ideas
• Outline proposal to 2012 call for topic ideas
• Team building while waiting
• Content of full proposal
• Useful tips for proposal preparation
Europeana Business Plan 2014 ( proposed), Nov 2013Europeana
This document outlines Europeana's proposed business plan for 2014. It discusses transitioning from being a portal to a platform and focusing on data quality. The plan emphasizes increasing engagement with the Europeana network, exploring new funding streams, and positioning Europeana in research, education and creative industries. Key performance indicators include increasing the number of data providers, digital objects, and API implementations. Thematic priorities around World War I content are highlighted for aggregation, distribution and promotion across Europeana's services and networks.
The European Open Science Cloud: just what is it?Carole Goble
Presented at Jisc and CNI leaders conference 2018, 2 July 2018, Oxford, UK (https://www.jisc.ac.uk/events/jisc-and-cni-leaders-conference-02-jul-2018). The European Open Science Cloud. What exactly is it? In principle it is conceived as a virtual environment with open and seamless services for storage, management, analysis and re-use of research data, across borders and scientific disciplines. How? By federating existing scientific data infrastructures, currently dispersed across disciplines and Member States. In practice, what it is depends on the stakeholder. To European Research Infrastructures it’s a coordinated mission to organise and exchange their data, metadata, software and services to be FAIR – Findable, Accessible, Interoperable, Reusable – and to use e-Infrastructures, either EU or commercial. To EU e-Infrastructures offering data storage and cloud services, it’s a funding mission to integrate their services, policies and organisational structures, and to be used by the Research Infrastructures. To agencies it’s a means to promote Open Science, standardisation, cross-disciplinary research and coordinated investment with a dream of a “one stop shop” for researchers. And for Libraries?
Presentation on INSPIRE and Higher Education (1 of 2)JISC GECO
Presentation designed to explain the relationship between academic data and the EU INSPIRE Directive. Produced by staff from EDINA and the Digital Curation Centre.
Linked Data with hybrid services in AgricultureRaul Palma
This document discusses using linked data and hybrid services in agriculture. It describes implementing linked data publication pipelines to transform heterogeneous datasets into RDF and link them. It also discusses using SPARQL wrappers and the Ephedra framework to query REST APIs and surface the results as linked data that can be queried with SPARQL. As an example, it describes an ongoing project using these techniques to expose data from the AgroDataCube API as linked data.
Presented by Tony Mathys at a Current Issues and Applications of the Geospatial Technologies Lecture, Department of Geography and Environment, Aberdeen University, 24 February 2012
Mr. Allan Lilly on the ESP proposed plan of activities for Pillar 4 (Implementation Plan) at the 4th ESP Plenary Meeting, held in FAO headquarters, 10 - 12 May 2017.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
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A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
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1. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Building a GeoKnowledge
Community
Gail Millin-Chalabi, Kamie Kitmitto, Jim
Schumm, Yin Tun, Bharti Gupta, Joe Kandeh
2. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Overview
• What is Mimas?
• What is Landmap?
• Spatial Data Provider
– Data Collections
– Negotiating licensing
– OGC services
• Metadata Provider
– Enhancements Project
• E-learning
– ELOGeo Project
– Creative Commons
• Outreach
– Widen awareness
• Technological
Innovation
– Kaia
– WPS and linked data
5. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Mimas Portfolio
Archives Hub
Census (CDU)
Copac
ESDS International
Hairdressing Training
IESR
Intute
Jorum
JSTOR
Landmap
UK Institutional Repository
UKPMC
Web of Knowledge
Zetoc
7. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Spatial Data
Aggregator
/Metadata
Promotion
E-Learning
Technological
innovation
Academic SDI
Landmap
8. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Individual Registrations
• 13 new institutions licensed for Landmap
• 1117 registrations so far this funding year
• Exceeds last year total registrations 793
0
50
100
150
200
Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul
TotalRegistrations
Funding Year
Yr 08/09 Yr 09/10 Yr 10/11
11. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Optical/Thermal
collection
Format Temporal
scale
Coverage
Landsat 4/5 Erdas Imagine 1988 – 1992 UK
Landsat 7 Erdas Imagine 1999 - 2001 UK
Mediterranean Landsat Erdas Imagine/GeoTiff 1990, 1992, 2000 Cyprus & Spain (E&W)
Spot GeoTiff 1995 - 1996 British Isles
TopSat GeoTiff 2007 - 2009 Global locations
Colour Infrared GeoTiff 2007 - 2010 England, Wales & Scotland
(not complete coverage)
Historic AP MrSID 1940s/1950s (main cities)
Modern AP MrSID 1970 – 2009 Main conurbations in UK
Meris GeoTiff March 2011 Order on request
Thermal Erdas Imagine & JPG 2009 - 2010 Some of main conurbations in
UK
12. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Elevation
collection
Format Temporal
scale
Coverage
75m SRTM Erdas Imagine 2000 British Isles
25m Landmap DTM Erdas Imagine 2000 British Isles
KGPS Survey Shapefile/KML/
GML
2000 6,400 km of roads
5m Bluesky DTM
5m/2m
GetMapping DTM
Erdas Imagine 2009 England and Wales
Scotland
0.25 - 1m LiDAR Erdas Imagine 2005 - 2007 Metropolitan areas
14. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Radar collection Format Temporal
scale
Coverage
Envisat ASAR
Image Mode
Alternating Polarisation
Wide Swath
Ortho GeoTiff 2004 plus UK (full)
ERS
ERS 1
ERS 2
ERS Coherence
Ortho GeoTiff 1995 - 1999 British Isles (full)
ALOS PALSAR Ortho GeoTiff 2007 - 2009 British Isles (partial)
15. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Feature collection Format
Building Heights Shapefile format
Building Class Shapefile format
UKMap (Base, Overlay, Points,
Addresses, POI, Heights)
Shapefile, dbf
16. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
OGC Standards
• WMS – deliver a portrayal of the data within data
collections through Kaia
Open to all (except for Modern and Historic Aerial Photography)
• WFS – deliver shapefiles and GML –
UK Federated Access (data licensing restrictions)
• WCS – deliver IMG, GeoTiff, NITF, ECW, JPEG 2000
UK Federated Access (data licensing restrictions)
• CS-W – deliver ISO 19115 metadata
Open to all
• WPS – future work (funding bid to JISC submitted)
UK Federated Access (data licensing restrictions)
18. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Metadata Enhancements
Survey Response
• 80 participants responded to the
User Requirements Metadata Survey
• 96.2% agrees quality of metadata
information is important for their
research e.g. acquisition; coverage;
pre-processing steps to inform
interpretation
• Current dataset metadata converted
from FGDC to ISO standard
Progress
• Sourcing metadata information
(dataset level)
• Collaboration with EDINA, Go Geo
portal
• IESR update (service level)
• User testing & Assessment
0%
5%
10%
15%
20%
25%
30%
35%
40%
Not very
useful
Useful Very useful Extremely
useful
Is metadata useful to your
research?
19. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
View ISO19139 metadata direct from Landmap Kaia & download with the data
21. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
• Airborne Imaging
Modern Aerial Photography for ArcGIS; Modern Aerial
Photography for CR Viewer; Historical Aerial Photography
• Applying Heights
3D Modelling with Google Sketch-Up; LiDAR Imaging
• UKMap & Mapping
Landuse Mapping; Introduction to UKMap
• Image Processing
ENVI; Idrisi Kilimanjaro; ERDAS Imagine v.9; Erdas Imagine 2010
and PCI Geomatica
• Radar Imaging
Introduction to Radar
• Classification Methods & Scripting
Object Oriented Classification; Python for ArcGIS
Learning Zone
22. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
• Duration: 6 months (JISC funded)
• Partner: University of Nottingham
• Project Overview: To create e-learning resources
– Open Data
– Open Standards
– Open Software
• 15th March ELOGeo User Requirements Survey
launched
– 105 Respondents so far (closes 27/04/11)
– Will inform development of new materials
– New content delivered through the Learning Zone
23. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
LZ Benefits
• Increasing spatial literacy
– Undergraduates
– CPD
– Lecturers new to spatial data
– FE
• Capacity building in less traditional disciplines
– Architecture
– Planning
– Engineering
– Biology
– Computer Science
• Provide learning resources around Landmap Data Collections
– Increase usage
– Increase research impact by using spatial data adding a new
dimension of investigation within non traditional disciplines
25. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Marketing Strategy
• Produce new Landmap overview leaflet & banners
• Develop a Landmap Roadshow for 2011
– Go to different regions of the UK to promote to
lecturers/postgraduates
• Develop key contacts lists
– LinkedIn – Landmap Group
– Twitter (148 followers)
– Contact subject librarians and check web pages are up-to-date
– Use lecturers knowledge to establish good venues for road shows
• Promote at events
• Regional seminar/training for undergraduates
• Librarian information days
26. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Regional Undergraduate Seminar
“Lots of presentations – works well”
“Great balance between industry, research & organisations”
29. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
• Downloading data from our collections
1) Download Original Data (for all data)
2) Download a subset of the data via Web Coverage Service (WCS)
• Select specific spectral bands
• Format
• Resampling method
3) Extract Features – download as GML, KML or Shapefile
• Landmap Kaia is a single access point for previewing our data
collections via Web Map Service (WMS):
• Landmap Kaia provides a portal for searching and previewing
metadata through the Catalog Service for the Web (CS-W)
• Creating a customised map using Landmap data and saving
the map as a Web Map Context (WMC)
Kaia Geoportal
32. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Geo-Linked Data Project
Duration: 6 month
Project Overview:
This project aims to enrich the Web of data by using Semantic
Web best practices to publish a subset of Landmap ISO
metadata in Resource Description Format (RDF), for the high
resolution image datasets.
Processes to be followed:
• Identifying data sources
• Modelling the ontology
• Generating the data in RDF
• Publishing the data to the web
33. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Snapshots of Sample Files
ISO 19115/19139 Metadata
Converted RDF
34. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Summary
• Spatial Data Provider:
– Landmap supports the UK academic community to access and use value-added
satellite and airborne datasets for cutting edge research
• Metadata Provider
– Landmap is committed to provide open access ISO 19115 standard metadata for all
data collections
• Delivering E-learning Content
– Landmap obtain new learning materials to support teaching and learning. Our aim is
to enable students and researchers from a wide range of disciplines to incorporate
spatial data into their research.
– New content released under Creative Commons licensing so open to all
• Outreach and Training
– Increasing awareness and access to spatial data
• Technological Innovation
– Provide data as OGC services, provide metadata as linked data and develop new
services for our users such as WPS.
35. INSPIRE Conference 2011, Edinburgh 27 June – 1 July
Thanks for Listening
Reference: Directive 2007/2/EC of the European Parliament and of the Council of 14 March 2007 establishing an
Infrastructure for Spatial Information in the European Community (INSPIRE). Accessed 23 June 2011
http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2007:108:0001:0014:EN:PDF
Editor's Notes
- E-learning for the Open Geospatial Community
A nationally designated data-centre A Centre of Excellence at the University of Manchester An organisation of uniquely skilled experts Hosting a vast number of the UK’s information assets Multidisciplinary, highly specialised data and information Developing tools to help users make the most of that data Constantly balancing quality service delivery with innovation
Concerned with the availability, quality, organisation, accessibility and sharing of spatial information which is key to the INSPIRE DirectiveProviding web-based access to spatial data and learning materials for UK HE and FELandmap hosts a combination of remotely-sensed imagery and spatial information unique in academia.Datasets are purchased from leading data providers licenses are negotiated and supplied to the academic community for freeConcerned with the availability, quality, organisation, accessibility and sharing of spatial information key to the INSPIRE Directive
Implement the use of Open Geospatial Consortium (OGC) standards for data delivery which allows the Landmap SDI to be interoperable with other services Negotiate licensing agreements on behalf of the wider academic community with data suppliers: limited to the UK academic community Must use UK Federated Access to view and download data
Optical &Thermal Collection: IncludesorthorectifiedLandsat 4/5; Landsat 7 and SPOT imagery, MediterraeanLandsat data, Colour Infrared; TopSat, Modern and Historic Aerial Photography; Thermal imagery. This data can be used to map vegetation cover, land use, crop health, and coastal sediment patternsElevation Collection: Includes 75m SRTM, 25m Landmap DTM, LiDAR data for many urban conurbations in the UK; 5m Bluesky DTM for England and Wales. This data can be used to create 3D models, model the effect of aspect on ecology.Licensing agreements – Negotiations
RadarCollection: Includes ERS 1; ERS 2; ENVISAT ASAR (Image Mode, Alternating Polarisation, Wide Swath. Use Radar for regular imagery updates to monitor an area without the worry of cloud cover e.g. the intertidal beds of Morecambe BayFeature Collection: Includes Building Heights and Building Class data for the main conurbations in the UK. The data (in shapefile format) can be easily integrated into a GIS or Image Processing package e.g. Modelling the urban heat island effectLicensing agreements – Negotiations
Providing WMS and CS-W addresses the minimum requirement as detailed in section 19 of the Inspire Directive
Section 6 of INSPIRE Directive states ‘spatial data should be easy to discover, to evaluate their suitability for the purpose and to know the conditions applicable to their use’Section 15 states “descriptions of available spatial datasets and services should be made available in the form of metadata”
1 year project JISC fundedSurvey Quotes“Understanding the source and derivation of data is crucial to whether they are “fit-for-purpose”“Gives a better idea of how the data was collected so you can understand the data better.”
Landmap Kaia provides a geo-portal which provides access to Landmap OGC services Plans to provide a Catalog Service for the Web which does not have the UK Federated Access restriction so that Landmap metadata is open to all. Information contained in the metadata aims to fulfil the information defined in Chapter II Article 5 of the Inspire Directive.
E-Learning for the Open Geospatial Community
- Addresses many spatial data themes as described in Annex I, II and III of the Inspire Directive
Key is to widen awareness of Landmap ServiceDeveloped a number of promotional materials & distributed widelyOverview leafletsPosters Postcards3 events completed before 2010: Regional Undergraduate Seminar; UKMap Workshop and Librarian Event4 Landmap Roadshows successfully completed in Cardiff, Sheffield Hallam and Manchester (2) to promote to lecturers/postgraduates4 Landmap Roadshows planned from April – June at Liverpool, Manchester, Newcastle and Salford targeting students and lecturersAnother UKMap Workshop arranged for GISRUK 2011 in PortsmouthDeveloped partnerships with Digimap (e.g. given a time slot in Digimap organised training) & JISC Regional Subject Centres.
Student & Industry Presenters- Total of 28 students attended the event 37 registered- Students attending came from the below institutions67% University of Manchester13% Salford University13% Edge Hill University7% Sheffield Hallam University53% students had not heard about Landmap before83% of students who had heard of Landmap had used the Learning Zone60% found the presentations good; 33% excellent; 7% average93% felt that the Landmap presentation gave them enough information to start using the service73% found the AGI presentation useful; 7% extremely useful and 20% average66% agreed to participate in user testing of the new Kaia client (9 attendess)
The feedback form is open to delegates until 30 Dec 2010. So far 11 delegates out of 19 have responded to the feedback questionnaire.Details are below: 54.5% of delegates had not heard about the Landmap Service before the eventThe Presentations were rated as 45.5% excellent, 36.4% very good and 18.2% good.90.9% felt that the presentations provided them with enough information to start using UKMap or advise others on how to use itSuggestions for future workshops on UKMap are: To do more work on actual data handling of UKMap data with ArcGISMore time devoted to querying the database and styling of the dataMore computer based examples with the sample data that was provided e.g. how to join address layer to the basemapLess paperwork on the data collection even though this was recognised as being important in gaining an understanding of how the data was collectedDr Alun Jones provided details about how UKMap can be applied to a wide range of applications such as:- Local Planning -Property mangement; Crime reduction; Urban design- Land and Property - Urban planning; Commerical site investigation; Residential property search- Emergency Services - Operational planning; Crime location analysis; Route analysis- Enivronmental Management - Tree preservation, Flood modelling, Carbon emission mapping
Provides the OGC services required to start delivering data direct to desktop GIS and Remote Sensing softwares Further innovation will take place with exploring the use of Web Processing Services Further work on creation of themed Web Map Contexts Supplying the UKMap data through this interface using the extract functionality for exporting out as GML,KML or shapefile