Satellites are gathering new information every second — and you have access to it. The question: What will you do with it? Here’s how to pull in remote sensed data from several sources, plus a real example of this in action.
1Spatial Australia: Remote sensing data - instant home delivery1Spatial
This document discusses options for accessing satellite imagery data from various providers including Landsat, Sentinel, Planet, and UrtheCast. It provides details on the resolution, frequency, cost, and capabilities of each data source. It also demonstrates how to access the imagery through various readers and process it in FME for applications like 3D modeling, analysis, and quality checks. Remote sensing provides valuable data that can be utilized in many ways through cloud access and data transformation tools.
Surveying the Trends in Geospatial Data: From Pixels to Point CloudsSafe Software
This document discusses trends in geospatial data from the 1960s to present. It describes the evolution of data from early raster datasets to today's large point clouds. Key developments discussed include the rise of CAD/GIS in the 1980s, spatial databases in the 1990s, web/cloud in the 2000s, 3D/BIM in the 2000s, and the explosion of point cloud data in the 2010s. The document emphasizes that more data in more formats enables better spatial analysis and decision making.
NASA conducts research and missions to further understand and forecast space weather. Present missions like SOHO, STEREO, and ACE provide data on solar eruptions and their propagation. Future missions like Solar Orbiter and the Radiation Belt Storm Probes will enhance coverage. NASA supports modeling efforts at the Community Coordinated Modeling Center to predict solar eruptions and their impacts. Models incorporate data from NASA missions to provide forecasts and situational awareness of space weather events.
The document discusses the challenges of big data in astronomy. It describes several upcoming and current astronomical surveys that will produce enormous amounts of data, such as Euclid which will collect 15 terabytes per day starting in 2022. Dealing with such large datasets requires new techniques for storage, processing, analyzing, classifying, compressing and visualizing the data. Machine learning and citizen science are helping to process the data more efficiently. Future surveys like the Square Kilometer Array telescope will pose even greater challenges by producing data at terabytes per second.
Planet has the ambitious goal of imaging everywhere on earth once per day with a fleet of small satellites. Now with over 100 operational satellites, Planet is collecting over a hundred million square kilometers of remote sensing data every day and for the first time we are able to take actions based on the daily changes that we observe. In addition to this unique data set, Planet has taken an 'API-first' approach to distributing data, allowing our users to build their own applications or integrations directly on our platform services. Safe Software's own Planet transformer is a great example of this kind of integration, giving FME users easy access to Planet's growing archive of satellite imagery.
This document discusses using satellite data to assess solar energy potential in India. It describes how satellites can monitor factors like clouds and aerosols to model solar irradiance. The KIRAN methodology uses geostationary satellites to generate diurnal and monthly solar insolation maps of India at high spatial resolution. Tools have been developed like a solar calculator app and an online database to estimate roof-top solar potential in cities. Analysis of satellite stereo imagery can also estimate shadow effects on roofs. The work aims to help plan and evaluate solar energy projects across India.
This document discusses a study that used gravitational ray tracing (GRT) to model the orbits and impacts of meteoroids on the Moon during a lunar eclipse in January 2019. The study integrated meteoroid trajectories back in time over 2 years using the positions of the planets and the Moon from JPL ephemeris data to determine the meteoroids' origin and orbit. The GRT method generated initial conditions for the meteoroids by sampling Earth's surface with a blue noise distribution for impact location and a uniform distribution for impact velocity. This allowed the study to determine properties like the distribution of impact speeds and how the risk of impact varied over different sites on Earth throughout the day and year.
How does a Global Navigation Satellite know where it is to tell you where you...OSMFstateofthemap
*** Presented by Martin Wass at State of the Map 2013
*** For the video of this presentation please see http://lanyrd.com/2013/sotm/scpktb/
*** Full schedule available at http://wiki.openstreetmap.org/wiki/State_Of_The_Map_2013
The satellites in Global Navigation Satellite Systems get their position data regularly updated from ground stations. But how do ground stations 'know' where they are, and relative to what? The Airy transit circle at Greenwich once defined the Prime Meridian and the spinning Earth the Equator. We now know the tectonic plate Greenwich sits on is moving and the Earth wobbles... Any defined datum causes difficulties when moving away from the vicinity, say to Mars. Using several different datums raises other problems. When everything is sliding around, how do we define and use a co-ordinate system that works?
1Spatial Australia: Remote sensing data - instant home delivery1Spatial
This document discusses options for accessing satellite imagery data from various providers including Landsat, Sentinel, Planet, and UrtheCast. It provides details on the resolution, frequency, cost, and capabilities of each data source. It also demonstrates how to access the imagery through various readers and process it in FME for applications like 3D modeling, analysis, and quality checks. Remote sensing provides valuable data that can be utilized in many ways through cloud access and data transformation tools.
Surveying the Trends in Geospatial Data: From Pixels to Point CloudsSafe Software
This document discusses trends in geospatial data from the 1960s to present. It describes the evolution of data from early raster datasets to today's large point clouds. Key developments discussed include the rise of CAD/GIS in the 1980s, spatial databases in the 1990s, web/cloud in the 2000s, 3D/BIM in the 2000s, and the explosion of point cloud data in the 2010s. The document emphasizes that more data in more formats enables better spatial analysis and decision making.
NASA conducts research and missions to further understand and forecast space weather. Present missions like SOHO, STEREO, and ACE provide data on solar eruptions and their propagation. Future missions like Solar Orbiter and the Radiation Belt Storm Probes will enhance coverage. NASA supports modeling efforts at the Community Coordinated Modeling Center to predict solar eruptions and their impacts. Models incorporate data from NASA missions to provide forecasts and situational awareness of space weather events.
The document discusses the challenges of big data in astronomy. It describes several upcoming and current astronomical surveys that will produce enormous amounts of data, such as Euclid which will collect 15 terabytes per day starting in 2022. Dealing with such large datasets requires new techniques for storage, processing, analyzing, classifying, compressing and visualizing the data. Machine learning and citizen science are helping to process the data more efficiently. Future surveys like the Square Kilometer Array telescope will pose even greater challenges by producing data at terabytes per second.
Planet has the ambitious goal of imaging everywhere on earth once per day with a fleet of small satellites. Now with over 100 operational satellites, Planet is collecting over a hundred million square kilometers of remote sensing data every day and for the first time we are able to take actions based on the daily changes that we observe. In addition to this unique data set, Planet has taken an 'API-first' approach to distributing data, allowing our users to build their own applications or integrations directly on our platform services. Safe Software's own Planet transformer is a great example of this kind of integration, giving FME users easy access to Planet's growing archive of satellite imagery.
This document discusses using satellite data to assess solar energy potential in India. It describes how satellites can monitor factors like clouds and aerosols to model solar irradiance. The KIRAN methodology uses geostationary satellites to generate diurnal and monthly solar insolation maps of India at high spatial resolution. Tools have been developed like a solar calculator app and an online database to estimate roof-top solar potential in cities. Analysis of satellite stereo imagery can also estimate shadow effects on roofs. The work aims to help plan and evaluate solar energy projects across India.
This document discusses a study that used gravitational ray tracing (GRT) to model the orbits and impacts of meteoroids on the Moon during a lunar eclipse in January 2019. The study integrated meteoroid trajectories back in time over 2 years using the positions of the planets and the Moon from JPL ephemeris data to determine the meteoroids' origin and orbit. The GRT method generated initial conditions for the meteoroids by sampling Earth's surface with a blue noise distribution for impact location and a uniform distribution for impact velocity. This allowed the study to determine properties like the distribution of impact speeds and how the risk of impact varied over different sites on Earth throughout the day and year.
How does a Global Navigation Satellite know where it is to tell you where you...OSMFstateofthemap
*** Presented by Martin Wass at State of the Map 2013
*** For the video of this presentation please see http://lanyrd.com/2013/sotm/scpktb/
*** Full schedule available at http://wiki.openstreetmap.org/wiki/State_Of_The_Map_2013
The satellites in Global Navigation Satellite Systems get their position data regularly updated from ground stations. But how do ground stations 'know' where they are, and relative to what? The Airy transit circle at Greenwich once defined the Prime Meridian and the spinning Earth the Equator. We now know the tectonic plate Greenwich sits on is moving and the Earth wobbles... Any defined datum causes difficulties when moving away from the vicinity, say to Mars. Using several different datums raises other problems. When everything is sliding around, how do we define and use a co-ordinate system that works?
This document contains summaries of 3 seminar topics:
1. Figuring out the moon - Computer simulations have helped understand the moon's weak and variable magnetic field by modeling a blanket of material that briefly insulated the lunar core.
2. The internet on Mars - Plans are underway to establish an interplanetary internet by connecting individual planet networks through gateways and using a bundle protocol for long distance data transfer.
3. Satellite tracking - Over 5,000 satellites are tracked using telemetry, which measures conditions from space and monitors satellite performance, and networks of ground stations that communicate with and control satellites.
This document discusses different forms of energy including kinetic energy and potential energy. It provides examples like slingshots, jets, wind farms, and mousetraps to illustrate kinetic and potential energy. Worksheets explore calculating work, velocity, kinetic energy, and the conservation of energy for objects being lifted or dropped. The relationship between potential and kinetic energy is examined. Football helmets are evaluated using energy concepts to propose improvements.
This document discusses various types of software for amateur astronomy, including planetarium programs like Stellarium to view celestial objects, simulators like Celestia to simulate space environments, image processing programs like AIPS to analyze astronomical images, mathematics programs like NumPy for calculations, and programs like wmMoonClock that track the sun and moon. It provides examples of specific software under each category to aid amateur astronomers.
NDGISUC2017 - Bringing Remote Sensing Data to your GIS ApplicationNorth Dakota GIS Hub
The document discusses how remote sensing data from satellites can be brought into GIS applications, noting that moderate resolution data from instruments like MODIS and VIIRS as well as higher resolution ASTER imagery are available from the Land Processes Distributed Active Archive Center. It describes GIS-friendly formats and services like web map services that allow this satellite imagery and derived data layers to be directly used in GIS software, and provides examples of applications like AppEEARS that allow users to extract and explore time series data.
2013-06-09 State of the Map US: Public Lab + OpenStreetMapLizBarry
This document summarizes grassroots aerial mapping techniques using balloons, kites, and other low-cost methods. It discusses the Public Laboratory's balloon mapping kits starting at under $20 for DIY kite rigs and $1300 for ready-to-fly balloon kits. Various imagery collection projects are shown from around the world along with technical specifications of different aerial mapping platforms. The document encourages sharing findings and collaborating to advance open aerial mapping tools and research.
Planet Labs is making use of information gathered from space to help with life on Earth. The group of scientists considered
the problem with most satellites to be their large and clunky form, prompting them to build inexpensive and compact satellites to be manufactured in bulk, called CubeSats.
Efficient data reduction and analysis of DECam images using multicore archite...Roberto Muñoz
A talk I gave in the workshop "Tools for astronomical big data" held in Tucson, Arizona on March 2015. My talk was about how to do data science and big data in Astronomy having a small budget.
This document describes research on using deep learning to automatically detect craters on the lunar surface. Key points:
- Craters near the lunar poles may contain water ice in permanently shadowed regions but current maps have issues that make planning missions difficult.
- The researchers created a new dataset of over 28,000 labeled images to train a convolutional neural network (CNN) crater detector.
- The CNN achieved 98% accuracy, a major improvement over previous methods, and was much faster than manual detection. This tool will help create better maps to plan future missions to study lunar volatiles like water ice.
How AI can Save Lives with the Help of Satellite ImageryGanes Kesari
1) AI and satellite imagery can help count populations and detect building footprints to more efficiently plan mosquito release sites for controlling dengue-carrying mosquitoes.
2) A deep learning model is used to extract building footprints from high-resolution satellite images. Additional data layers like vegetation and statistical population distributions are then overlaid to estimate populations in small grid areas.
3) The resulting gridded maps showing population densities and unpopulated areas can help identify optimal locations to release genetically engineered mosquitoes, reducing planning time from weeks to hours and improving outcomes.
The document discusses improving the process of generating 3D shape models of asteroids from radar observations. It proposes several solutions: a) Pre-processing radar data faster, b) Determining asteroid spin axes faster using Bayesian optimization, c) Improving the generation of training data using non-convex synthetic shapes, and d) Advancing the neural network approach using techniques like variational autoencoders to represent asteroids in a compact latent space. The overall aim is to streamline the modeling pipeline to analyze radar observations of near-Earth asteroids faster than they are acquired.
Conor O'Sullivan of the Satellite Applications Catapult joins us at the Science: Disrupt London Session on Future Space to talk about how the UK Government is supporting businesses and startups in the space category and what the future of satellite applications looks like.
Google Earth is a geographic browser that allows users to view satellite imagery and geospatial data of Earth. It displays satellite images of varying resolution, from 15 meters up to half a meter, depending on the area. Users can explore locations through interactive 3D viewing and fly anywhere on Earth. Google Earth also allows users to view and share user-generated geospatial data and location-specific information through KML files. It has applications in various fields like education, telecommunications network planning, and commercial purposes like site research.
The Large Interferometer For Exoplanets (LIFE): the science of characterising...Advanced-Concepts-Team
Studying the atmospheres of a statistically significant number of rocky, terrestrial exoplanets - including the search for habitable and potentially inhabited planets - is one of the major goals of exoplanetary science and possibly the most challenging question in 21st century astrophysics. However, despite being at the top of the agenda of all major space agencies and ground-based observatories, none of the currently planned projects or missions worldwide has the technical capabilities to achieve this goal. In this talk we present new results from the LIFE Mission initiative, which addresses this issue by investigating the scientific potential of a mid infrared nulling interferometer observatory. Here we will focus on the mission's yield estimates, our simulator software as well as various exemplary science cases such as observing Earth- and Venus-twins or searching for phosphine in exoplanetary atmospheres.
This document discusses space weather and solar-terrestrial interactions. It introduces B-STING, an open-source tool that uses machine learning to predict the Kp index, which measures geomagnetic activity levels. It evaluates several machine learning models, finding that gradient boosting achieves the best prediction of Kp values up to 3 hours ahead. Feature analysis reveals current Kp index and solar wind parameters are most important for predictions. B-STING utilizes scientific data and machine learning algorithms to better understand and forecast space weather impacts.
The document summarizes a project to create a system for sharing crowd-sourced asteroid imagery and visualizing asteroid data. The team developed a website with features to display asteroid imagery, plot the orbits of 4000 asteroids around the solar system by highlighting individual asteroids and showing planetary orbits. They used Node.js, Angular.js, and webGL for rendering. Due to time constraints, some planned features like 3D rendering and impact risk analysis had to be removed. All code was made open source.
1) Twelve researchers from different fields came together at NASA's Frontier Development Lab to use AI to help defend Earth from asteroid impacts.
2) They developed methods using machine learning to help determine an asteroid's composition from meteorites, shape from radar images much faster than before, and the best deflection technique based on its properties.
3) Key results included an app using deep learning to rapidly identify meteorites to learn asteroid compositions, reducing asteroid shape modeling from 4 weeks to a few hours using a 3D autoencoder on radar data, and a 98% accurate decision tree to select the best of three deflection options based on 1.5 million simulations.
The document discusses using machine learning tools to characterize meteor showers and search for long-period comets. The objectives are to automate meteor identification, search for new meteor shower streams and outbursts, and find rare outbursts that could indicate dangerous long-period comets. The methods include classifying meteors vs non-meteors using CNNs, LSTMs, and random forests. Unsupervised clustering is used to detect new showers and outbursts from orbital data. The goals are to expand sky coverage, monitor for outbursts in real-time, and publish search areas for comets inferred from meteor data.
GeoDesign for Civic Engagement and Sustainable DevelopmentTom Gardner
This document discusses GeoDesign, which tightly couples the creation of design proposals with impact simulations informed by geographic contexts. It presents GeoDesign as a collaborative planning process that helps achieve synergy between humans and nature. The document outlines Carl Steinitz's six-step GeoDesign framework and provides examples of how GeoDesign has been used for debris disposal site selection after tsunamis, analyzing park access and locations, and creating a collaborative park design template. It concludes that challenges of GeoDesign include developing appropriate technology to enable seamless, iterative design workflows and establishing GeoDesign as a cross-disciplinary practice.
Take advantage of FME Server’s capabilities for real-time integration and change data capture. Learn about workflows for monitoring and updating your data as it changes. We’ll look at what data sources/systems are monitored out-of-the-box and how you can enable change data capture for other data sources/systems.
Introduction and Getting Started with FME 2017Safe Software
This document provides an overview of new features in FME 2017 including more formats supported for reading and writing data, new and updated transformers for performing powerful transformations, improvements to the data inspector for inspecting data, enhancements for automating workflows on FME Server, and updates to FME Cloud including new pricing and instance types. The document demonstrates turning raw satellite imagery into a 3D model and highlights time-saving features for everyday use of FME like adding formats quickly and copying transformer parameters.
This document contains summaries of 3 seminar topics:
1. Figuring out the moon - Computer simulations have helped understand the moon's weak and variable magnetic field by modeling a blanket of material that briefly insulated the lunar core.
2. The internet on Mars - Plans are underway to establish an interplanetary internet by connecting individual planet networks through gateways and using a bundle protocol for long distance data transfer.
3. Satellite tracking - Over 5,000 satellites are tracked using telemetry, which measures conditions from space and monitors satellite performance, and networks of ground stations that communicate with and control satellites.
This document discusses different forms of energy including kinetic energy and potential energy. It provides examples like slingshots, jets, wind farms, and mousetraps to illustrate kinetic and potential energy. Worksheets explore calculating work, velocity, kinetic energy, and the conservation of energy for objects being lifted or dropped. The relationship between potential and kinetic energy is examined. Football helmets are evaluated using energy concepts to propose improvements.
This document discusses various types of software for amateur astronomy, including planetarium programs like Stellarium to view celestial objects, simulators like Celestia to simulate space environments, image processing programs like AIPS to analyze astronomical images, mathematics programs like NumPy for calculations, and programs like wmMoonClock that track the sun and moon. It provides examples of specific software under each category to aid amateur astronomers.
NDGISUC2017 - Bringing Remote Sensing Data to your GIS ApplicationNorth Dakota GIS Hub
The document discusses how remote sensing data from satellites can be brought into GIS applications, noting that moderate resolution data from instruments like MODIS and VIIRS as well as higher resolution ASTER imagery are available from the Land Processes Distributed Active Archive Center. It describes GIS-friendly formats and services like web map services that allow this satellite imagery and derived data layers to be directly used in GIS software, and provides examples of applications like AppEEARS that allow users to extract and explore time series data.
2013-06-09 State of the Map US: Public Lab + OpenStreetMapLizBarry
This document summarizes grassroots aerial mapping techniques using balloons, kites, and other low-cost methods. It discusses the Public Laboratory's balloon mapping kits starting at under $20 for DIY kite rigs and $1300 for ready-to-fly balloon kits. Various imagery collection projects are shown from around the world along with technical specifications of different aerial mapping platforms. The document encourages sharing findings and collaborating to advance open aerial mapping tools and research.
Planet Labs is making use of information gathered from space to help with life on Earth. The group of scientists considered
the problem with most satellites to be their large and clunky form, prompting them to build inexpensive and compact satellites to be manufactured in bulk, called CubeSats.
Efficient data reduction and analysis of DECam images using multicore archite...Roberto Muñoz
A talk I gave in the workshop "Tools for astronomical big data" held in Tucson, Arizona on March 2015. My talk was about how to do data science and big data in Astronomy having a small budget.
This document describes research on using deep learning to automatically detect craters on the lunar surface. Key points:
- Craters near the lunar poles may contain water ice in permanently shadowed regions but current maps have issues that make planning missions difficult.
- The researchers created a new dataset of over 28,000 labeled images to train a convolutional neural network (CNN) crater detector.
- The CNN achieved 98% accuracy, a major improvement over previous methods, and was much faster than manual detection. This tool will help create better maps to plan future missions to study lunar volatiles like water ice.
How AI can Save Lives with the Help of Satellite ImageryGanes Kesari
1) AI and satellite imagery can help count populations and detect building footprints to more efficiently plan mosquito release sites for controlling dengue-carrying mosquitoes.
2) A deep learning model is used to extract building footprints from high-resolution satellite images. Additional data layers like vegetation and statistical population distributions are then overlaid to estimate populations in small grid areas.
3) The resulting gridded maps showing population densities and unpopulated areas can help identify optimal locations to release genetically engineered mosquitoes, reducing planning time from weeks to hours and improving outcomes.
The document discusses improving the process of generating 3D shape models of asteroids from radar observations. It proposes several solutions: a) Pre-processing radar data faster, b) Determining asteroid spin axes faster using Bayesian optimization, c) Improving the generation of training data using non-convex synthetic shapes, and d) Advancing the neural network approach using techniques like variational autoencoders to represent asteroids in a compact latent space. The overall aim is to streamline the modeling pipeline to analyze radar observations of near-Earth asteroids faster than they are acquired.
Conor O'Sullivan of the Satellite Applications Catapult joins us at the Science: Disrupt London Session on Future Space to talk about how the UK Government is supporting businesses and startups in the space category and what the future of satellite applications looks like.
Google Earth is a geographic browser that allows users to view satellite imagery and geospatial data of Earth. It displays satellite images of varying resolution, from 15 meters up to half a meter, depending on the area. Users can explore locations through interactive 3D viewing and fly anywhere on Earth. Google Earth also allows users to view and share user-generated geospatial data and location-specific information through KML files. It has applications in various fields like education, telecommunications network planning, and commercial purposes like site research.
The Large Interferometer For Exoplanets (LIFE): the science of characterising...Advanced-Concepts-Team
Studying the atmospheres of a statistically significant number of rocky, terrestrial exoplanets - including the search for habitable and potentially inhabited planets - is one of the major goals of exoplanetary science and possibly the most challenging question in 21st century astrophysics. However, despite being at the top of the agenda of all major space agencies and ground-based observatories, none of the currently planned projects or missions worldwide has the technical capabilities to achieve this goal. In this talk we present new results from the LIFE Mission initiative, which addresses this issue by investigating the scientific potential of a mid infrared nulling interferometer observatory. Here we will focus on the mission's yield estimates, our simulator software as well as various exemplary science cases such as observing Earth- and Venus-twins or searching for phosphine in exoplanetary atmospheres.
This document discusses space weather and solar-terrestrial interactions. It introduces B-STING, an open-source tool that uses machine learning to predict the Kp index, which measures geomagnetic activity levels. It evaluates several machine learning models, finding that gradient boosting achieves the best prediction of Kp values up to 3 hours ahead. Feature analysis reveals current Kp index and solar wind parameters are most important for predictions. B-STING utilizes scientific data and machine learning algorithms to better understand and forecast space weather impacts.
The document summarizes a project to create a system for sharing crowd-sourced asteroid imagery and visualizing asteroid data. The team developed a website with features to display asteroid imagery, plot the orbits of 4000 asteroids around the solar system by highlighting individual asteroids and showing planetary orbits. They used Node.js, Angular.js, and webGL for rendering. Due to time constraints, some planned features like 3D rendering and impact risk analysis had to be removed. All code was made open source.
1) Twelve researchers from different fields came together at NASA's Frontier Development Lab to use AI to help defend Earth from asteroid impacts.
2) They developed methods using machine learning to help determine an asteroid's composition from meteorites, shape from radar images much faster than before, and the best deflection technique based on its properties.
3) Key results included an app using deep learning to rapidly identify meteorites to learn asteroid compositions, reducing asteroid shape modeling from 4 weeks to a few hours using a 3D autoencoder on radar data, and a 98% accurate decision tree to select the best of three deflection options based on 1.5 million simulations.
The document discusses using machine learning tools to characterize meteor showers and search for long-period comets. The objectives are to automate meteor identification, search for new meteor shower streams and outbursts, and find rare outbursts that could indicate dangerous long-period comets. The methods include classifying meteors vs non-meteors using CNNs, LSTMs, and random forests. Unsupervised clustering is used to detect new showers and outbursts from orbital data. The goals are to expand sky coverage, monitor for outbursts in real-time, and publish search areas for comets inferred from meteor data.
GeoDesign for Civic Engagement and Sustainable DevelopmentTom Gardner
This document discusses GeoDesign, which tightly couples the creation of design proposals with impact simulations informed by geographic contexts. It presents GeoDesign as a collaborative planning process that helps achieve synergy between humans and nature. The document outlines Carl Steinitz's six-step GeoDesign framework and provides examples of how GeoDesign has been used for debris disposal site selection after tsunamis, analyzing park access and locations, and creating a collaborative park design template. It concludes that challenges of GeoDesign include developing appropriate technology to enable seamless, iterative design workflows and establishing GeoDesign as a cross-disciplinary practice.
Take advantage of FME Server’s capabilities for real-time integration and change data capture. Learn about workflows for monitoring and updating your data as it changes. We’ll look at what data sources/systems are monitored out-of-the-box and how you can enable change data capture for other data sources/systems.
Introduction and Getting Started with FME 2017Safe Software
This document provides an overview of new features in FME 2017 including more formats supported for reading and writing data, new and updated transformers for performing powerful transformations, improvements to the data inspector for inspecting data, enhancements for automating workflows on FME Server, and updates to FME Cloud including new pricing and instance types. The document demonstrates turning raw satellite imagery into a 3D model and highlights time-saving features for everyday use of FME like adding formats quickly and copying transformer parameters.
Embark on a grand tour of all that is new in FME 2017 for databases both big and small. Learn what types of databases are best suited for each task and witness the amazing powers of the little databases (Geopackage, SQLite, Access).
Using FME Server and FME Cloud just got a lot easier with new functionality like projects. See how to leverage new features to keep everything running smoothly across the enterprise, with an inspiring look at how others are putting this into practice.
Magical Methods for Batch Data ProcessingSafe Software
Here’s what you need to know about applying the same processing to a large number of similar files. We’ll look at a few examples, what’s working for people, and the pros and cons of each approach.
This document discusses how to transform raw data into useful business intelligence using FME. It explains that FME makes it easy to connect to various data sources, clean the data, and generate visualizations and reports. Examples of visualizations include geospatial dashboards in QlikMaps and Tableau for analyzing sales performance and infrastructure asset management. The document promotes FME's ability to prepare data for business intelligence applications to help organizations make informed decisions.
See FME Desktop 2017 in action. Learn how you can take advantage of the top new features, formats, and transformers to solve more data challenges even faster.
This document discusses how Network Rail uses geospatial analytics and data to manage vegetation and track infrastructure. It describes how LiDAR and cross-sectional analysis are used to survey vegetation and earthworks. Historic incident data trends are also analyzed geospatially to identify at-risk locations and implement preventative measures for suicide prevention in a predictive manner. The document contains embedded images showing how geospatial data collection and analysis techniques help Network Rail effectively manage its extensive national rail infrastructure.
Synesis video analytics deployment across railwaysNikolai Ptitsyn
Synesis multiple camera tracking video analytics performs television (CCTV) and thermal video analysis for all-weather detection of people, vehicles and debris on railways.
Learn how to add GUI widgets such as dropdown boxes and radio buttons to your FME application in order to allow your user to direct the flow of the application. The presentation includes a working example and a business case in which you would use a GUI widget in FME.
This document discusses the emerging era of the Internet of Things where everything is connected through the internet. It explains that the growth of connected devices, sensors, and web services is exploding. The common language for connecting these things is JSON, which the FME software understands. OAuth is also important as an open standard for authorization that provides a single approach to connecting devices, sensors, and services securely. The document demonstrates how OAuth works through an authentication sequence and shows an OAuth demo connecting a weather station and GitHub through FME.
5 Ways to Impress in Google Earth and Maps – Creating Amazing Maps with FMESafe Software
This document outlines a presentation about using FME to create amazing maps in Google Earth and Maps. The agenda includes a live spatial dashboard using FME Server and Google Maps, styling and mashing data, viewing data on Google Maps, emailing Google Static Maps, and a case study of Kansas' airspace awareness tool. The presenters are from FME and Burns & McDonnell. Attendees are encouraged to ask questions. There is also information on learning more about FME trials, demos, training and how to get started with FME and Google mapping capabilities.
Approach to respiratory distress in childrenWasim Akram
This document provides an overview of pediatric respiratory emergencies. It begins with an introduction to the approach and assessment of a child presenting with breathing difficulties. It then covers the grading of respiratory distress, features of respiratory failure, and the pathophysiology of increased airway resistance and edema. The document further discusses the pathophysiologic approach to various clinical conditions causing respiratory distress. It provides guidance on the initial assessment and immediate care of the child, including airway management, oxygen delivery, circulation support, and diagnostic evaluation. Specific conditions addressed include upper airway obstruction, pneumonia, and wheezing.
Authorization for Internet of Things using OAuth 2.0Hannes Tschofenig
The document discusses authorization for internet of things devices using OAuth 2.0. It outlines design patterns like backend data portability and device-to-device communication. It then describes the architecture involving clients, authorization servers, resource servers, and devices. Finally, it provides an overview of relevant standards organizations and technologies like OAuth, COSE, OpenID Connect, and FIDO that can help address IoT security challenges.
With information available in more systems than ever, how do we make sense of it all? Here are a few examples of how people have blended large amounts of data across the web and enterprise, and turned it into something useful and visually pleasing.
Load testing of HELIDEM geo-portal: an OGC open standards interoperability ex...Massimiliano Cannata
This paper presents a load testing of the HELIDEM geo-portal, which is an example of interoperability between a numbers of standard geospatial services as defined by the Open Geospatial Consortium. The portal was developed within the European project HELIDEM (www.helidem.eu) with the aim of valorizing the main project output which is a cross-border digital terrain model. The portal aims at fostering its diffusion and usage trough easily accessible tools. The DTM covers the alpine area located between Southern Switzerland (Canton Ticino) and Northern Italy (Lombardy and Piedmont Regions). From a technological point of view, the server-side component of the portal is based on a Service Oriented Architecture implemented using the open source software Zoo-Project, GRASS GIS and Geoserver; the client-side component is a Web interface based on CSS3 and HTML5 trough the usage of the ExtJS framework and the OpenLayers software. The presented solution is a mix of technologies and software, some of which are considered, within the open source for geospatial community, mature and robust while others are considered promising but not sufficiently tested yet. For this reason this research conducted a load test over concurrent users in order to verify the robustness, quality and performance of the system and to identify eventual bottlenecks. Test results didn’t register any exception confirming the good quality of the implemented system and underlying software. Nevertheless, performance and response time exponentially degrades with increasing number of concurrent users, area of analysis and process complexity. Finally, the test confirms that system is robust, in fact no system failure was recorded during the analysis.
Restructuring and transforming attributes is often an important part of data preparation. Here are tips for managing and validating attributes, plus examples of new functionality that makes it easier than ever to work with date and time.
Free and open source software for remote sensing and GISNopphawanTamkuan
This document provides information on various free geospatial data sources and products available online. It summarizes datasets including aerial imagery, digital elevation models, Landsat, MODIS, Sentinel satellite imagery and products, OpenStreetMap, and other vector and raster data that can be used for applications such as agriculture, climate monitoring, disaster management and more. Many of the datasets are hosted by government agencies and scientific organizations looking to make Earth observation data openly available.
Integration for Planet Satellite ImagerySafe Software
Planet offers up-to-date, high-quality images of the entire earth from 150+ satellites. Learn how to build automated workflows that integrate your data with these images in various ways. You’ll see how to transform and analyze bands, blend your data with the most up-to-date satellite images, and create cloud-based workflows to deliver images automatically. We’ll walk through an example that overlays live transit data on an up-to-date basemap with minimal cloud coverage. Plus, see what’s in beta for FME 2018 and Planet basemaps.
1. The document describes the concept for a future generation of intelligent Earth observing satellites that would provide real-time satellite imagery and data to end users.
2. Key elements of the proposed system include a network of low Earth orbit satellites linked to geostationary satellites, with on-board processing and high-speed data transmission to allow direct downlinking of imagery and data to users.
3. The system is designed around user needs, with components like handheld receivers and mobile antennas allowing real-time access to satellite data, as well as user software to process and display the data.
Processing Rasters from Satellites, Drones, & MoreSafe Software
This document discusses how rasters from satellites, drones, and other sources can be processed and analyzed using FME. It provides examples of bringing raster data into workflows from various sources like Landsat 8, Sentinel 2, and Planet. It also discusses how FME can be used to automate raster processing, mosaicking, styling, combining, and outputting tiles. Examples are given for creating up-to-date hybrid basemaps and monitoring and analyzing wildfire changes daily. Additional examples discuss building georeferenced satellite videos and using FME for natural hazard workflows like flood risk assessment and search and rescue with UAVs. Automation and accessing data are emphasized as important for meeting challenges of natural disaster response.
Roelof Pieters (Overstory) – Tackling Forest Fires and Deforestation with Sat...Codiax
This document provides an overview of Overstory, a company that uses satellite data and AI to monitor forests and tackle issues like deforestation and wildfires. It discusses how Overstory uses machine learning on high-resolution satellite imagery to create segmentation maps and monitor changes in forests over time. It also describes Overstory's infrastructure including its use of JupyterHub, Dask, and Papermill to enable large-scale distributed processing of satellite data and training of deep learning models.
The document discusses the use of Synthetic Aperture Radar (SAR) and InSAR techniques for monitoring solid earth geophysics hazards. SAR uses microwaves to generate high-resolution images of the Earth's surface independently of solar illumination. InSAR uses multiple SAR images to measure surface changes down to the centimeter scale, such as caused by earthquakes or subsidence. It discusses various InSAR techniques including DifSAR, Persistent Scatterer InSAR, and Corner Reflector InSAR and their applications in oil and gas, mining, infrastructure and hazard monitoring. The document also lists several commercial and open-source InSAR processing software packages.
1) The document describes a new methodology for identifying landslides using synthetic aperture radar (SAR) data on the Google Earth Engine platform.
2) It applies the methodology to map landslides triggered by heavy rainfall in Hiroshima, Japan in 2018, achieving good detection results by combining pre- and post-event SAR images and a digital elevation model.
3) The study finds that using more SAR images and data from multiple satellite flyovers improves landslide identification accuracy, and that rapid landslide mapping is possible within a week of an event.
The document summarizes the Landsat satellite program, which has collected continuous land surface data since 1972. It describes the sensors on each Landsat satellite from 1-8, noting improvements over time like increased bands, resolution, and data quality. Landsat provides the longest publicly available land record in the world, with all data now available free online at the USGS.
This document discusses using an enhanced Web Map Service (WMS) to visualize four-dimensional environmental data on the web. It describes the Godiva2 system, which allows interactive exploration of geospatial raster datasets through a web interface. Godiva2 enhances the standard WMS by adding extra metadata and visualization methods for scientific data like time series plots. It provides a way to visualize large and complex environmental modeling outputs.
“Operational Evapotranspiration Data for Water Management in the Western U.S.” by Matt Bromley at the 2023 Water for Food Global Conference. A recording of the presentation can be found on the conference playlist: https://youtube.com/playlist?list=PLSBeKOIXsg3JNyPowwJj6NDSpx4vlnCYj.
The document discusses sources of spatial data for use in disaster management. It identifies several free data sources that can be used, including MODIS, ASTER and Landsat satellite imagery, as well as global vector datasets for administrative boundaries, roads, rivers, and more. It emphasizes that a significant amount of geospatial data is available for free from government agencies and archives. While some commercial data may be expensive, it is possible to find suitable lower or no-cost alternatives with sufficient resolution for many disaster management applications.
Post–Real Time Post-Earthquake Impact Assessment and Response Prioritization ...EERI
This document discusses post-earthquake impact assessment and response strategies. It describes using in-situ monitoring, ground-truthing, remote sensing, and estimating techniques like ShakeMap, ShakeCast and PAGER to evaluate earthquake impacts. It provides examples of ShakeCast being used by organizations like Caltrans and LAUSD to prioritize inspections of bridges and schools after earthquakes.
This document discusses digital elevation models (DEMs), including how they are generated from remote sensing data like satellite imagery and LiDAR, their typical accuracies, and common uses. DEMs can be created from aerial or satellite stereo images, radar interferometry, or terrestrial land surveying. They are used to produce topographic maps and orthophotos, model flooding, perform visibility analysis, and create 3D terrain representations. The quality and resolution of DEMs varies depending on the source data and techniques used.
Improving access to satellite imagery with Cloud computingRAHUL BHOJWANI
The aim of this presentation is to introduce cloud computing platforms that have now made it possible for us to have access to a wide variety of Satellite Imagery data along with the computing power required to run sophisticated Machine Learning models on that. Also, it briefly explains one available dataset and what problems are currently being tackled with that, to motivate the use of geospatial datasets in solving real-life problems.
PS:- It is our* class presentation given for a course taken under Prof Shashi Shekhar at the University of Minnesota.
* - Rahul Bhojwani(rahulbhojwani2003@gmail.com) and Kate Kuehl(katekuehl@gmail.com)
Mike Warren is the co-founder and CTO of Descartes Labs, a company that operates a geospatial analysis platform using multiple integrated satellite image datasets. The platform provides analysis-ready images with historical records for machine learning and allows users to find, measure, monitor changes over time, and predict future changes to minimize risk and optimize outcomes. It eliminates much of the data preparation time typically required by geospatial scientists by maintaining a growing archive of processed images and a robust pipeline for continuous updates as new images become available.
The document provides an introduction to geographic information systems (GIS) and remote sensing. It discusses how GIS organizes and analyzes spatial data through data management, analysis, and visualization. It describes different data types including vector, raster, and imagery data. It also explains key concepts such as layers, modeling geospatial reality, and coding vector and raster data. The document outlines advantages and disadvantages of vector and raster data models. It introduces remote sensing and describes platforms and sensors used to collect spatial data from aircraft and satellites.
The document discusses major sources of freely available digital elevation model (DEM) data, including the National Elevation Dataset (NED) for the US, Shuttle Radar Topography Mission (SRTM) data globally, and the Global Multi-resolution Terrain Elevation Data (GMTED2010) set. It provides details on the spatial resolution and geographic coverage of each DEM data source, as well as how to access and download the data through websites like the USGS Earth Explorer.
Advances in Agricultural remote sensingsAyanDas644783
This document summarizes a 3-part training program on crop mapping using synthetic aperture radar (SAR) and optical remote sensing. The training will cover crop classification using time series of polarimetric SAR data, monitoring crop growth through SAR-derived crop structural parameters, and classifying crop types using time series optical and radar data. Attendees will learn how to analyze satellite image time series from sensors like Sentinel-1 and Sentinel-2 for applications like crop monitoring. The training objectives are to understand polarimetric SAR for crop assessment and using multitemporal SAR and optical data for crop monitoring and classification.
The document provides information about accessing and using data from the Sentinel-2 satellite mission. It outlines several portals for downloading Sentinel-2 imagery, including the ESA SciHub, Amazon Web Services, and USGS websites. It describes how to search for and filter imagery using criteria like date, cloud cover percentage, and region. The document also defines some key terms related to Sentinel-2 imagery like granules, datastrips, and datatakes. It lists the spatial resolutions of the different spectral bands and gives examples of pre-processing steps that can be applied to the data like resampling, atmospheric correction, and classification.
Similar to Remote Sensing Data — Instant Home Delivery! (20)
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
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!
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
The Zero-ETL Approach: Enhancing Data Agility and InsightSafe Software
In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method.
We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy.
Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations.
Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today.
Join us to discover how Zero-ETL can elevate your organization's data strategy.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar.
In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar.
In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR.
Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios.
Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects.
Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization’s performance. The power of real-time data automation through FME can turn this vision into reality.
Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We’ll explore:
FME’s role in real-time event processing, from data intake and analysis to transformation and reporting
An overview of leveraging streams vs. automations
FME’s impact across various industries highlighted by real-life case studies
Live demonstrations on setting up FME workflows for real-time data
Practical advice on getting started, best practices, and tips for effective implementation
Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
Imagine a world where information flows as swiftly as thought itself, making decision-making as fluid as the data driving it. Every moment is critical, and the right tools can significantly boost your organization's performance. The power of real-time data automation through FME can turn this vision into reality.
Aimed at professionals eager to leverage real-time data for enhanced decision-making and efficiency, this webinar will cover the essentials of real-time data and its significance. We'll explore:
FME's role in real-time event processing, from data intake and analysis to transformation and reporting
An overview of leveraging streams vs. automations
FME's impact across various industries highlighted by real-life case studies
Live demonstrations on setting up FME workflows for real-time data
Practical advice on getting started, best practices, and tips for effective implementation
Join us to enhance your skills in real-time data automation with FME, and take your operational capabilities to the next level.
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
Hiring and retaining software development talent is next to impossible for AEC firms and other industries alike.
Join us and guest speakers from HOK, a leader in the AEC industry, as they share their success in navigating the tight talent market through the use of no-code solutions and FME.
Discover how HOK approached the process of building a custom tool to automate the creation of projects and user management for Trimble Connect and ProjectSight.
Using a mix of traditional and no-code in FME, our guest speakers will reveal how the team bridged the resource gap and used the available talent pool, producing the mission-critical web app “Trajectory”.
They will also dive into details, illustrating first-hand how JSON data was used as a “glue” between two development groups.
Learn how embracing FME as a no-code solution can unlock potential within your teams, foster collaboration, and drive efficiency.
Powering Real-Time Decisions with Continuous Data StreamsSafe Software
In an era where making swift, data-driven decisions can set industry leaders apart, understanding the world of data streaming and stream processing is crucial. During this webinar, we'll explore:
Stream Processing Overview: Dive into what stream processing entails and the value it brings organizations.
Stream vs. Batch Processing: Learn the key differences and benefits of stream processing compared to traditional batch processing, highlighting the efficiency of real-time data handling.
Mastering Data Volumes: Discover strategies for effectively managing both high and low volume data streams, ensuring optimal performance.
Boosting Operational Excellence: Explore how adopting data streaming can enhance your organization's operational workflows and productivity.
Spatial Data's Role in Streams: Understand the importance of spatial data in stream processing for more informed decision-making.
Interactive Demos: Watch practical demos, from dynamic geofencing to group-based processing.
Plus, we’ll show you how you can do it without coding! Register now to take the first step towards more informed, timely, and precise decision-making for your organization.
The Critical Role of Spatial Data in Today's Data EcosystemSafe Software
In today's data-driven landscape, integrating spatial data is becoming increasingly crucial for organizations aiming to harness the full potential of their data. Spatial data offers unique insights based on location, making it a fundamental component for addressing various challenges across different sectors, including urban planning, environmental sustainability, public health, and logistics.
Our webinar delves into the indispensable role of spatial data in data management and analysis. We'll showcase how omitting spatial data from your data strategy not only weakens your data infrastructure, but also limits the depth of your insights. Through real-world case studies, we'll highlight the transformative impact of spatial data, demonstrating its ability to uncover complex patterns, trends, and relationships.
Join us for this introductory-level webinar as we explore the critical importance of spatial data integration in driving strategic decision-making processes. By the end of the webinar, you'll gain a renewed perspective on how spatial data is essential for confronting and overcoming challenges across various domains.
Cloud Revolution: Exploring the New Wave of Serverless Spatial DataSafe Software
Once in a while, there really is something new under the sun. The rise of cloud-hosted data has fueled innovation in spatial data storage, enabling a brand new serverless architectural approach to spatial data sharing. Join us in our upcoming webinar to learn all about these new ways to organize your data, and leverage data shared by others. Explore the potential of Cloud Native Geospatial Formats in your workflows with FME, as we introduce five new formats: COGs, COPC, FlatGeoBuf, GeoParquet, STAC and ZARR.
Learn from industry experts Michelle Roby from Radiant Earth and Chris Holmes from Planet about these cloud-native geospatial data formats and how they can make data easier to manage, share, and analyze. To get us started, they’ll explain the goals of the Cloud-Native Geospatial Foundation and provide overviews of cloud-native technologies including the Cloud-Optimized GeoTIFF (COG), SpatioTemporal Asset Catalogs (STAC), and GeoParquet.
Following this, our seasoned FME team will guide you through practical demonstrations, showcasing how to leverage each format to its fullest potential. Learn strategic approaches for seamless integration and transition, along with valuable tips to enhance performance using these formats in FME.
Discover how these formats are reshaping geospatial data handling and how you can seamlessly integrate them into your FME workflows and harness the explosion of cloud-hosted data.
Igniting Next Level Productivity with AI-Infused Data Integration WorkflowsSafe Software
Learn where FME meets AI in this upcoming webinar to offer you incredible time savings. This webinar is tailored to ignite imaginations and offer solutions to your data integration challenges. As the new digital era sets sail on the winds of AI, the tangibility of its integration in our daily schema is unfolding.
Segment 1, titled “AI: The Good, the Bad and the FME” by Darren Fergus of Locus, navigates through the realms of AI, scrutinizing its pervasive impact while underscoring the symbiotic potential of FME and AI. Join in an engaging demonstration as FME and ChatGPT collaboratively orchestrate a PowerPoint narrative, epitomizing the alliance of AI with human ingenuity.
In Segment 2, “Integrating GeoAI Models in FME” by Dennis Wilhelm and Dr. Christopher Britsch of con terra GmbH, the spotlight veers towards operationalizing AI in our daily tasks through FME. A practical approach to embedding GeoAI Models into FME Workspaces is unveiled, showcasing the ease of incorporating AI-driven methodologies into your FME workflows, skyrocketing productivity levels.
To follow, Segment 3, "Unleash generative AI on your terms!" by Oliver Morris of Avineon-Tensing. While the prospects of Generative AI are thrilling, security and IT reservations, especially with 'phone home' tools, are genuine concerns. However, with open-source tools, you can locally harness large language models. In this demo, we'll unravel the magic of local AI deployment and its seamless integration into an FME workspace.
Bonus! Dmitri will join us for a fourth segment to tie us off, showcasing what he has been up to this week, including using OpenAI API for texturing in FME, amoung other projects.
Join us to explore the synergy of FME and AI: opening portals to a realm of revolutionized productivity and enriched user experiences.
The Zero-ETL Approach: Enhancing Data Agility and InsightSafe Software
In the ever-evolving landscape of data management, Zero-ETL is an approach that is reshaping how businesses handle and integrate their data. This webinar explores Zero-ETL, a paradigm shift from the traditional Extract, Transform, Load (ETL) process, offering a more streamlined, efficient, and real-time data integration method.
We will begin with an introduction to the concept of Zero-ETL, including how it allows direct access to data in its native environment and real-time data transformation, providing up-to-date information with significantly reduced data redundancy.
Next, we'll take you through several demonstrations showing how Zero-ETL can deliver real-time data and enable the free movement of data between systems. We will also discuss the various tools that support all aspects of Zero-ETL, providing attendees with an understanding of how they can adopt this innovative approach in their organizations.
Lastly, the session will conclude with an interactive Q&A segment, allowing participants to gain deeper insights into how Zero-ETL can be tailored to their specific business needs and how they can get started today.
Join us to discover how Zero-ETL can elevate your organization's data strategy.
Mastering MicroStation DGN: How to Integrate CAD and GISSafe Software
Dive deep into the world of CAD-GIS integration with our expert-led webinar. Discover how to seamlessly transfer data between Bentley MicroStation and leading GIS platforms, such as Esri ArcGIS. This session goes beyond mere CAD/GIS conversion, showcasing techniques to precisely transform MicroStation elements including cells, text, lines, and symbology. We’ll walk you through tags versus item types, and understanding how to leverage both. You’ll also learn how to reproject to any coordinate system. Finally, explore cutting-edge automated methods for managing database links, and delve into innovative strategies for enabling self-serve data collection and validation services.
Join us to overcome the common hurdles in CAD and GIS integration and enhance the efficiency of your workflows. This session is perfect for professionals, both new to FME and seasoned users, seeking to streamline their processes and leverage the full potential of their CAD and GIS systems.
Geospatial Synergy: Amplifying Efficiency with FME & EsriSafe Software
Dive deep into the world of geospatial data management and transformation in our upcoming webinar focusing on the powerful integration of FME and Esri technologies. This insightful session comprises two compelling segments aimed at enhancing your geospatial workflows, while minimizing operational hurdles.
In the first segment, guest speaker Jan Roggisch from Locus unveils how Auckland Council triumphed over the challenges of handling large, frequent data updates on ArcGIS Online using FME. Discover the journey from manual data handling to an automated, streamlined process that reduced server downtime from minutes to seconds: setting a new standard for local government organizations.
The second segment, led by James Botterill from 1Spatial, unveils the magic of incorporating ArcPy into your FME workflows. Delve into real-world scenarios where ArcGIS geoprocessing is harmoniously orchestrated within FME using the PythonCaller. Gain insights into raster-vector data conversion, spatial analysis, and a host of practical tips and tricks that empower you to leverage the combined capabilities of FME and Esri for efficient data manipulation and conversion.
Join us to explore the remarkable possibilities that open up when FME and Esri technologies converge – enhancing your ability to manage and transform geospatial data with unprecedented efficiency.
Introducing the New FME Community Webinar - Feb 21, 2024 (2).pdfSafe Software
Join us at Safe Software as we unveil the exciting new FME Community platform.
Picture yourself entering a vibrant, interconnected world, where every click brings you closer to a fellow FME enthusiast, a new idea, or a solution that could revolutionize your workflow.
Since its inception, the FME Community has been a dynamic hub for knowledge sharing, where thousands of users converge to exchange insights, engage in stimulating discussions, and collaboratively solve challenges. Now, envision this community reimagined - retaining the features you know and love, but infused with new, cutting-edge functionalities designed to make your experience even more enriching and effortless. The Community is also planned to soon act as a central hub for all FME community acticity across the web.
This webinar is your personal tour through this enhanced FME Community landscape. Whether you're an experienced user familiar with every nook and cranny of the old platform, or you're setting foot in this community for the first time, our webinar will ensure you navigate the new terrain with ease and confidence. Discover how to maximize your engagement, tap into the wealth of resources available, and contribute to the growing tapestry of FME innovation.
Join us in celebrating the future of FME collaboration, where your next breakthrough idea, insightful article, or spirited discussion awaits. Don't miss this opportunity to be a part of the evolution of the FME Community!
Breaking Barriers & Leveraging the Latest Developments in AI TechnologySafe Software
Explore how to best leverage the latest of AI technology in our upcoming webinar, where we delve into advancements and trends in the field since our previous AI webinars in 2023. Join us for a session filled with fresh insights and practical knowledge. We're stitching together the final threads of this presentation as we speak, keeping pace with AI's breakneck speed. Expect a session brimming with the freshest insights, releases and breakthroughs in AI – right up to the minute! A spotlight of this session is set to include Dmitri Bagh’s exploration of innovative AI integrations with FME, ranging from generating 3D features for augmented reality using Dall-E, to enhancing urban planning with orthoimagery completion, and showcasing the power of AI in workspace analysis and geoart creation.
Whether you're new to AI or an experienced practitioner, this webinar is tailored to keep you at the forefront of AI innovation. Get ready for a session that is as informative as it is inspiring, equipping you with the tools to excel in the dynamic world of artificial intelligence.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Must Know Postgres Extension for DBA and Developer during MigrationMydbops
Mydbops Opensource Database Meetup 16
Topic: Must-Know PostgreSQL Extensions for Developers and DBAs During Migration
Speaker: Deepak Mahto, Founder of DataCloudGaze Consulting
Date & Time: 8th June | 10 AM - 1 PM IST
Venue: Bangalore International Centre, Bangalore
Abstract: Discover how PostgreSQL extensions can be your secret weapon! This talk explores how key extensions enhance database capabilities and streamline the migration process for users moving from other relational databases like Oracle.
Key Takeaways:
* Learn about crucial extensions like oracle_fdw, pgtt, and pg_audit that ease migration complexities.
* Gain valuable strategies for implementing these extensions in PostgreSQL to achieve license freedom.
* Discover how these key extensions can empower both developers and DBAs during the migration process.
* Don't miss this chance to gain practical knowledge from an industry expert and stay updated on the latest open-source database trends.
Mydbops Managed Services specializes in taking the pain out of database management while optimizing performance. Since 2015, we have been providing top-notch support and assistance for the top three open-source databases: MySQL, MongoDB, and PostgreSQL.
Our team offers a wide range of services, including assistance, support, consulting, 24/7 operations, and expertise in all relevant technologies. We help organizations improve their database's performance, scalability, efficiency, and availability.
Contact us: info@mydbops.com
Visit: https://www.mydbops.com/
Follow us on LinkedIn: https://in.linkedin.com/company/mydbops
For more details and updates, please follow up the below links.
Meetup Page : https://www.meetup.com/mydbops-databa...
Twitter: https://twitter.com/mydbopsofficial
Blogs: https://www.mydbops.com/blog/
Facebook(Meta): https://www.facebook.com/mydbops/
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
3. Who is using satellite imagery?
1. Government
2. Intelligence agencies
3. Environmental
4. Data analytics
5. Agriculture
6. Disaster management
7. Humanitarian
8. Monitoring assets and resources
4. Landsat (NASA/USGS) Sentinel 2 (ESA) Planet UrtheCast (Future)
Resolution 15/30/100m 10/20/60m 3-5m* 0.5 - 5 m
Status Free Free Paid Paid
Frequency Monthly Weekly (or better) Daily A few times a day
Compare
8. • Access via API key
• Satellite groups
o RapidEye (RE)
o PlanetScope (PS)
o Landsat 8
o Sentinel-2
• Assets
o Visual (RGB24)
o Analytic (RGBNir64)+Red Edge with RE
o UDM (unusable data mask) (bit mask shown as UINT8)
25. Examples: Useful
Transformations
● Integrate with other sources
(maps, 3D models)
● Compare images over time
● Perform raster analysis (e.g.
NDVI, feature extraction)
● Live basemap / WMTS
● Add new imagery to database
as it becomes available
30. 3D model with RGB/NIR/NDVI texture
Flight over Lower Mainland:
https://youtu.be/0m2FVyz5U28
31. Landsat (NASA/USGS) Sentinel 2 (ESA) Planet UrtheCast (Future)
Resolution 15/30/100m 10/20/60m 3-5m* 0.5 - 5 m
Status Free Free Paid Paid
Frequency Monthly Weekly (or better) Daily A few times a day
Choices!
32. To sum up: Remote Sensing is awesome.
● Lots of options for satellite imagery, depending on your
needs.
● Read directly from the cloud and process in FME.
● Use transformers to make basemaps, models, perform
analysis, and more.