lidar_class repository

Repository for class on Airborne LiDAR data processing.

How to use?

Download the contents into a folder that is easy to access. Or clone repository if you want.

Repository Contents:

1_lidR_basic_processing.R : R code with basic explanations on how to load a LAS point cloud file in R, look at data, plot point cloud, filter it, and transform it to a Canopy Height Model or other LiDAR metrics.
2_lidar_estimate_carbon_density_longo.R : R code to estimate aboveground carbon density based on ALS data.
ORIG_NP_T-0262__638250_8876250.las : point cloud data from the Brazilian Amazon in LAS format, 250 x 250 meters in the ground. Sample data come from EBA/INPE acquisition.
Decks used in classes in ppt format

Pre-requisites

R
RStudio

lidR R package, but also a few others.
Run these lines of code inside R to install required packages:

neededPackages = c("lidR", "sp", "raster", "rgdal", "rgl", "mapview", "gstat")
pkgTest = function(x) { if (x %in% rownames(installed.packages()) == FALSE) { install.packages(x, dependencies= TRUE) }; library(x, character.only = TRUE) }
for (package in neededPackages) { pkgTest(package) }

Classes

This material was used at :

LiDAR lecture in Forest course of Remote Sensing graduate program at INPE. {2020, 2021, 2022}. (3 hours)

LiDAR lecture in GIS graduate program at University of Manchester. {2021, 2022, 2023}. (3 hours)

LiDAR lecture in Remote Sensing and GIS for Ecology course at UNPESP. 2021. (4 hours)

LiDAR short course at WorCAP 2023. 2023. (1h30 hours). https://www.gov.br/inpe/pt-br/eventos/worcap/2023. <ppt link>.

Contact

Ricardo Dal'Agnol da Silva
University of California Los Angeles (UCLA)
e-mails: ricds@hotmail.com ; dalagnol@ucla.edu
https://ricds.wordpress.com/
Follow me on Twitter @RicardoDalagnol :)

ricds / lidar_class