A presentation by John Murray from Fusion Data Science given at EDINA's GeoForum 2017 about the use of Lidar Data and the technology and techniques that can be used on it to create useful datasets.
LiDAR uses laser light to rapidly create high-resolution 3D models of objects and terrain. It has largely replaced photogrammetry for topographic mapping due to its ability to collect data day or night and its direct measurement of ground surfaces. While public LiDAR datasets are useful for planning, private firms can benefit more from terrestrial and aerial LiDAR for detailed civil engineering and surveying projects. LiDAR allows rapid mapping of complex sites and piping networks to support master planning, grading, utilities, and other design work.
Pat Doody presentation on IMaR & RFID in Europe which he delivered at a VisionID Retail Technology event
The document discusses innovations in light detection and ranging (LiDAR) technology for transportation applications. It describes several mobile and airborne LiDAR platforms as well as software for storing and analyzing large LiDAR datasets. Examples of LiDAR uses include mapping of street signs, generation of high-resolution terrain models, and visualization of flood events. The document aims to provide an overview of current and developing LiDAR technologies.
The document discusses innovations in light detection and ranging (LiDAR) technology for transportation applications. It describes several mobile and airborne LiDAR platforms as well as software for storing and analyzing large LiDAR datasets. Examples of LiDAR uses include mapping of street signs, generation of high-resolution terrain models, and visualization of flood events. The document aims to provide an overview of current and developing LiDAR technologies.
LiDAR acronym as Light Detection and Ranging is remote sensing technology having several technical and socialite advantages. This technology is basically used to make high resolution digital map to provide the real time data. This data can be processed and used to extract the useful information. A typical LIDAR system consists of three main components, a GPS system to provide position information, an INS unit for attitude determination, and a LASER system to provide range (distance) information between the LASER firing point and the ground point. In addition to range data, modern LIDAR systems can capture intensity images over the mapped area. Therefore, LIDAR is being more extensively used in mapping and GIS applications.
Airborne LiDAR is a new technology that is revolutionizing the way we collect LiDAR data. With Airborne LiDAR, you can collect data faster, with higher resolution, and in a much more cost-effective manner.
In this report I will explain the importance of remote sensing in general and explaining one of the most important system or application which is LIDAR (light detection and ranging) and I will explain all its types and uses and applications and the components and advantage of this system and how it works then I will mention the imaging system with explaining the primary and secondary return imaging in LiDAR
This document discusses infrared technology, including its history, uses, advantages, and applications. It describes how infrared allows wireless communication through short-range signals and how computers can transfer data using infrared ports. The document also outlines the origins of the term "infrared" and how its discovery is attributed to William Herschel in the early 19th century. Key applications discussed include thermography, night vision, missile guidance systems, and industrial heating processes.
Bradley Skelton, Chief Technology Strategist for Geospatial Portfolio at Hexagon Geospatial, looks at the increasing amount and variety of data available that can be turned into actionable information. See more presentations from the FME User Conference 2014 at: www.safe.com/fmeuc
What are the data layers that need to come together to image and document and integrate our data about the world to generate an active living digital twin of time and space? A rapid discussion of the possibilities.... g a l
This talk will discuss Faraday, Endgame’s globally distributed set of customized sensors, that listen to activity on the Internet, as well as recent insights extracted from the data. In addition, we will discuss some of the trends and use case of how Faraday supports detection of malicious activity, support prioritization, and analytic efforts.
1) Faraday is a global network of sensors that collects untargeted malware and internet traffic geographically and logically dispersed to extract the malware signal from internet noise. 2) The sensors can provide insights into whether attacks on a network are targeted or omnidirectional mass exploits, and monitor for probing and exploitation of newly disclosed vulnerabilities. 3) The data collected by Faraday can be used for early warning applications, tracking worms and attackers, and integrating with cyber operations platforms to gain visibility into novel techniques and collect new malware samples.
The document provides information about the SmartLab research group at the University of Genoa in Italy. It discusses SmartLab's work in areas like real-time analytics for fuel prediction and skid prediction in racing cars. It also mentions past projects involving traffic forecasting and bus arrival time prediction. The document outlines SmartLab's computing resources and plans to expand its IBM cluster. It discusses potential future work in areas like process mining, condition-based maintenance using NoSQL databases, and advanced data analytics.
"Vision talk to the Big Data Analytics conference in London. How monorails and fancy hats have implications in big data." By Ted Dunning
Lidar is an optical remote sensing technology that uses light (often from a pulsed laser) to measure distance. It works by illuminating a target with a laser and analyzing the reflected light. Common components of a lidar system include a laser, scanner/optics, photodetector, and receiver electronics. Lidar has advantages over radar like faster lock-on time and narrower beam spread. Applications include agriculture, mapping, oil/gas exploration, engineering, autonomous vehicles, and atmospheric sensing from aircraft or satellites. Recent advances include lidar speed guns, Google's driverless car which uses lidar for navigation, and autonomous cruise control systems using lidar.
The document provides an introduction to LiDAR technology and applications presented by GIS in the Rockies. It includes bios of the two presenters, an overview of the company Merrick & Company, and an agenda for the workshop covering LiDAR technology review, applications, data processing workflow, project planning, and Q&A. The workshop aims to educate attendees on airborne LiDAR data acquisition projects through a practical review of technical requirements and benefits of the technology.
Mobile devices broadcast information passively through protocols like mDNS and NetBios that can be used to profile and fingerprint individuals. This metadata includes a person's name, device details, social media profiles, locations visited and more. While concerning for privacy, there are some mitigation tips like disabling WiFi when not in use. In the future, passive profiling may become more advanced through integration with other tools and online databases to create detailed profiles of individuals based solely on information broadcast from their mobile devices.
A look at the research into Historic Landscapes using digital techniques and data sources including Digimap. Delivered by Dr Stuart Brookes from UCL.