1 / 14

Using LiDAR Data within Smallworld

Using LiDAR Data within Smallworld. Mark Field – FCSI. Overview. LiDAR – We have heard about it, but what is it? How’s it collected What data is in it Variations of LiDAR data How is it stored in Smallworld Example set of tools

evelyn-rodriguez
Download Presentation

Using LiDAR Data within Smallworld

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Using LiDAR Data within Smallworld Mark Field – FCSI

  2. Overview • LiDAR – We have heard about it, but what is it? • How’s it collected • What data is in it • Variations of LiDAR data • How is it stored in Smallworld • Example set of tools • How this implementation can be used to develop useful data

  3. What is LiDAR? • Light Detection And Ranging • aka Laser Detection And Ranging (LADAR) • Can be used in side and downward-looking • Laser speed gun, weather “radar”, airborne • Data is gathered by detecting the reflection of the light • Distance, intensity, return number • Raw results are “point clouds”

  4. LiDAR Collection Illustration Source: https://www.e-education.psu.edu/lidar/node/1405

  5. Variations of LiDAR • Raw, Unfiltered Data(LAS format) • Contains noise, artifacts • Filtered, Classified (LAS format) • Contains point cloud data • Multiple returns • Classified into ground, vegetation, building, etc. • Ground Points (LAS format) • Contains single “layer” of ground • Digital Elevation Models (DEM, DTM, TIN) • Rasterized version of ground points

  6. Variations of LiDAR (cont.) • LAZ • Lossless Compressed LAS • Categorized XYZ • ASCII • Files separated into single category

  7. Implementation by FCSI • Expanded FCSI’s N-Dimensional Geometry • 5+ Dimensional TIN Structure (XYZTV) • TIN Node now contains all LiDAR Data • X, Y, Z • Intensity • Return • Number of Returns • Scan Direction • GPS Time • Edge of Flight? • Classification • Scan Angle • User Data • Point Source • Color (RGB)

  8. Example Tools by FCSI • Point Viewer • Points colored by return, intensity, elevation, classification • Filter points by return, intensity, classification • DEM Updater • Update DEM values based off LiDAR • Manual Feature Extraction

  9. Point Viewer

  10. DEM Update

  11. Elevation Extraction

  12. Issues with LiDAR • Number of Points is extremely large • 1000’ x 100 ‘ of Missouri contains 560,000 points! • 5000’ x 5000’ 5.3 to 8.2 Million points! • 5.3 Million = 463MB gdb.ds (1MB rwo.ds) • What will it be used for? • DEM/TIN – Rasterize externally • Ensure data is what you want to use • Is it classified? • Does it contain non-ground data (multiple returns)? • External tools do exist that may be more effective

  13. How Can LiDAR Be Used? • Very accurate terrain models • TINs or DEMs • Identify features for corridor management • Buildings • Vegetation • Towers, Poles, Lines

  14. Questions?/Contact • Mark Field • mark@field-csi.com • FCSI Booth 19 • Cell: 407-376-6105 • @mbfbsae90 • mbfbsae90

More Related