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⚠️ Wiki pages are (mostly) superseded by the book 📖 that contains much more tutorials and resources than the wiki pages

Wiki pages provide some useful information and I try to keep everything up-to-date. Some links point to lidR vignettes. Other links point to wiki pages that may be written by me or by contributors. Feel free to modify, correct, add or update the content. It's a wiki 😉

How to quickly learn lidR

These are some reading that, read in order, might provide a good quick overview of the package. Some pages are not written yet but anyone can contribute.

• LAS objects: read, plot, process a point cloud from a .las file (:star:)
• Rasterizing perfect canopy height models (:star:)
• Segment individual trees and compute metrics (1) (:star:)
• Segment individual trees and compute metrics (2) (:star: :star:)
• LAScatalog objects: read, plot, process many .las files (:star: :star:)
• Area-based-approach from A to Z (:star: :star:)
• Extract and normalize ground inventories (:star: :star:)
• A simple example with catalog_apply (:star: :star:)
• Advance individual trees segmentation (:star: :star: :star:)

Other general topics

• How to speed-up computation on a LAScatalog (:star: :star:)
• Modify the LAScatalog drivers to write the output in a SQL database (:star: :star: :star:)
• Make cheap High Performance Computing to process large datasets (:star: :star: :star:)

Other specific topics

• Classification of snag points using lassnags (:star:)