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Support for Drone Survey
Data (.LAS files)
v5.0
Drone and Scan Data
.LAS files are a common format for lazer scan and
drone survey data
- These files are often large, and very dense. Hard to load and work with
Deswik now support importing these files, and have
an increasing number of tools to assist working with
.LAS files
Import
Add files to be imported (supports multiple files)
• Automatically stitches tiles together if grid output
Select outputs to create
• Points
• Surface
• Grid
• Nominate output layers
Whoa! I don’t need all those points…
Options for filtering on import
make outputs more user friendly
• Settings tab
• Limit import to polygon area
• Specify min distance between
points
• Decimate (filter) resulting
surfaces or grids
Cons
LAS files can be brutal on your hardware
Experiment to find the best balance
Take the time to find best settings for your data
and use case – filter aggressively or use larger
grid sizes
The aim is to minimize number of resulting
points without sacrificing required level of detail
Deswik Software Suite v5.0: LAS file support

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Deswik Software Suite v5.0: LAS file support

  • 1. Support for Drone Survey Data (.LAS files) v5.0
  • 2. Drone and Scan Data .LAS files are a common format for lazer scan and drone survey data - These files are often large, and very dense. Hard to load and work with Deswik now support importing these files, and have an increasing number of tools to assist working with .LAS files
  • 3. Import Add files to be imported (supports multiple files) • Automatically stitches tiles together if grid output Select outputs to create • Points • Surface • Grid • Nominate output layers
  • 4. Whoa! I don’t need all those points… Options for filtering on import make outputs more user friendly • Settings tab • Limit import to polygon area • Specify min distance between points • Decimate (filter) resulting surfaces or grids
  • 5. Cons LAS files can be brutal on your hardware
  • 6. Experiment to find the best balance Take the time to find best settings for your data and use case – filter aggressively or use larger grid sizes The aim is to minimize number of resulting points without sacrificing required level of detail