This workflow is now on https://lidar.pages.mia.inra.fr/lidaRtRee/articles/forest.structure.metrics.html
This R
tutorial presents a workflow to compute both object-oriented and pixel-based metrics to describe the forest structure from Airborne Laser Scanning (lidar remote sensing) data. Extraction of different types of metrics is exemplified and code for parallelized processing of several ALS data files is provided.
Change log
- Dec 21, 2023: moved to https://forgemia.inra.fr/lidar/lidaRtRee
- April 6, 2023: checked with new version of
lidaRtRee
- July 19, 2022: checked with new version of
lidaRtRee
- May 24, 2022: switch to
terra
andsf
to comply with new version oflidR
andlidaRtRee
- Dec. 27, 2021: future.apply package used for parallelization
- Aug 3, 2021: updated to comply with lidaRtRee 3.1.0
- Jan 2021: updated to comply with lidR 3.1.0 and lidaRtRee 3.0.0
- Oct, 2020: checked compatibility with lidR 3.0.3
- May, 2020: added edge metrics, gaps computed using option
gapReconstruct=TRUE
, output resolution changed to 10 m for better consistency of tree metrics - July, 2019: use of
doFuture
package instead ofdoParallel
for parallelization; tested with lidR 2.1.0 - Feb, 2019: updated for compatibility with package lidR 2.0.0 and lidaRtRee 2.0.0
- July, 2018: initial version