Using LiDAR Data within Smallworld - PowerPoint PPT Presentation

About This Presentation
Title:

Using LiDAR Data within Smallworld

Description:

Laser speed gun, weather radar , airborne. Data is gathered by detecting the reflection of the light. Distance, intensity, return number. Raw results are ... – PowerPoint PPT presentation

Number of Views:214
Avg rating:3.0/5.0
Slides: 15
Provided by: fie66
Category:

less

Transcript and Presenter's Notes

Title: Using LiDAR Data within Smallworld


1
Using LiDAR Data within Smallworld
  • Mark Field FCSI

2
Overview
  • LiDAR We have heard about it, but what is it?
  • Hows 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 FCSIs 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_at_field-csi.com
  • FCSI Booth 19
  • Cell 407-376-6105
  • _at_mbfbsae90
  • mbfbsae90
Write a Comment
User Comments (0)
About PowerShow.com