Module 5: Speeding up your analyses: Reduced datasets
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn ways to help speed up and super charge your LiDAR analyses. This tutorial covers how to create spatial indexes for loading reduced datasets, subsetting to smaller scenes, and creating lower density point clouds.
Module 4: Putting it all together: Asking ecological questions
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn to extract data from lidar products like canopy size, tree locations, and elevation. You will also build a statistical model from lidar data to answer ecological questions
Module 3: Mapping trees from aerial LiDAR data
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you identify tree locations, segment trees and estimate tree size, and turn a lidar point cloud into a stem map!
Module 2: Creating raster products from point clouds
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn to create raster products like digital elevation models and canopy height models. The tutorial also covers how to make your own custom functions to analyze LIDAR data.
Module 1: Getting started with LiDAR processing for forestry and natural resources
If you are interested in learning to use LiDAR for forestry and natural resources, this tutorial can help you get started. You will learn to view large datasets, create raster products, map trees, and more!