#Erdas Imagine 2014 For Mac software

An example of a terrestrial system would be the Pegasus 2 from Leica Geosystems.

Mobile mapping is often used to produce 3D street scenes of cities. Terrestrial LiDAR systems are either static, placed on a stationary platform such as a tripod, or dynamic, mounted on a vehicle for mobile mapping. Terrestrial, or ground-based LiDAR can also be collected and is used for close range, high resolution applications such as bridge/dam monitoring, architectural restoration, and landslide and erosion mapping for examples. From an aircraft, the targets include the ground, vegetation, and buildings and airborne LiDAR can generate more 100,000 points per second.

Laser ranges are combined with position and orientation data and calibrated to produce a point-cloud data-set. The distance between the target object and the sensor is calculated. How it works is the laser transmits a light pulse and records the time delay for the light to return to the sensor. For aerial LiDAR, the sensor is placed beneath a fixed-wing aircraft or a helicopter.

This is achieved by combining the LiDAR data with other measurements collected to generate precise representations of the EarthвЂ™s surface characteristics and target objects.ДЄ typical LiDAR setup consists of a laser, a scanner, a specialized GPS receiver, an inertial measurement unit (IMU), and an on-board computer and data storage capabilities. LiDAR provides a method to collect very accurate, high-resolution, 3-Dimensional point-cloud data from the air or ground. LiDAR, which stands for Light Detection and Ranging, is a remote sensing technology that uses laser scanning to collect height and elevation data. So what exactly is LiDAR and why has it become so widely used? That list is pretty impressive but by no means exhaustive. The LiDAR train seems to have gathered great pace over the past few years and from a brief research I can see it is being used extensively for urban planning, forestry management and biomass estimation, flood modelling, pollution modelling, coastline management and erosion studies, transport planning, oil & gas and mining, archaeology, and geology. But besides visualization they could also perform data analysis such a volumetrics for example. There was always a wow-factor when a speaker had fancy slides with 3D images in their presentation showing high-resolution detail of an open-pit mine, then show a zoom-in on a piece of machinery to highlight how highly detailed the data actually was. I had attended many GIS conferences while in Australia and the presence of point-cloud data and 3D visualisation was ever growing. The most exciting part for me though, was the LiDAR point-cloud capabilities. The new ribbon interface easily won me over and the ability to customize the ribbon, and also create a file Shoe-Box to tailor your workflow was a great addition.

#Erdas Imagine 2014 For Mac software

A quick visit to the Hexagon Geospatial website for walk-throughs, webinars, and a few Google searches and IвЂ™d forgotten about the older IMAGINE layout and the software began to amaze me once again. I knew what the software was capable of back then and was interested in finding out what was new and improved since my last encounter. Now, seven years later, I am delighted I get to use IMAGINE once again and delve back into the world of remote sensing. My career took me away from using IMAGINE but I was always a big advocate, recommending the software when an employer enquired about past experiences. I think it was version 8.3 back then and I was instantly amazed by this piece of software. I was first introduced to IMAGINE in 2007 while completing a postgraduate in Applied Remote Sensing and GIS at Maynooth University (formerly known as NUIM). Author: Glen Bambrick, IMGS Applications Engineer