Skip to product information
1 of 1

Top 20 Essential Skills for Lidar in ArcGIS

Publisher:

Regular price $59.99
Regular price $59.99 Sale price $59.99
Sold out
With 20 step-by-step tutorials, Top 20 Essential Skills for Lidar helps you understand, manage, analyze, and create immersive 3D products using lidar data.
  • 22 December 2026
View Product Details

Through 20 step-by-step tutorials, gain the knowledge to understand, manage, analyze, and create immersive 3D products using lidar data.

Throughout Top 20 Essential Skills for Lidar, you'll discover a range of essential lidar skills and best practices for preparing and storing data, sharing methods, and rendering techniques. Each chapter presents a bite-sized, standalone tutorial with easy-to-follow steps, accompanied by tips and considerations that enhance your understanding of the underlying concepts.

Using 20 step-by-step tutorials you will explore how to:

  • Assess lidar data properties and correct common errors
  • Visualize lidar data and convert between data types
  • Create final data products and maps
  • Classify lidar data
  • Assess point spacing and density
  • Use constraints
  • Apply manual and automated classification
  • Calculate volume and other measurements
  • Create 3D surfaces such as digital terrain models and digital surface models
  • Extract features such as trees and buildings
  • Create viewsheds
  • Perform shadow analysis
  • Apply raster functions
  • Leverage deep learning

Whether you're new to lidar or looking to expand your skills, Top 20 Essential Skills for Lidar provides a practical and accessible resource for exploring lidar data sources, working in 3D, and creating data-driven outputs.

files/i.png Icon
Price: $59.99
Pages: 250
Publisher: Esri Press
Imprint: Esri Press
Series: Top 20 Essential Skills
Publication Date: 22 December 2026
Trim Size: 9.25 X 7.50 in
ISBN: 9781589487864
Format: Paperback
BISACs: Geographical information systems, geodata and remote sensing, Information visualization, Data capture and analysis, Digital and Information technology: general topics, Educational equipment and technology, computer-aided learning (CAL), Cartography, map-making and projections
REVIEWS Icon
  1. Introduction to Lidar

  2. Understanding Lidar

  3. Visualizing Lidar data in ArcGIS Pro 

  4. Managing Lidar in ArcGIS Pro  

  5. Assessing Lidar quality 

  6. Data optimization 

  7. Classification processes of Lidar using ArcGIS Pro  

  8. Using pre-trained models for point classification 

  9. Training a model for point classification 

  10. Creating surfaces  

  11. Creating contours 

  12. Introduction to ArcGIS Pro analysis tools 

  13. Extracting objects from Lidar

  14. Extract objects using deep learning

  15. Other Lidar analysis workflows

  16. Share Lidar point cloud data to a portal

  17. Using Lidar data in web scenes

  18. Share surfaces

  19. Using indoor Lidar

  20. Data resources and use cases