Module 6: Speed up your analyses: Parallel processing with LAScatalog
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 work with large LiDAR datasets, set processing options, and learn how to deal with edge effects. These skills will help you analyze large areas seamlessly!
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!
Remote Pilot Certification study guide for natural resource professionals
Research in natural resources conservation is harnessing new technologies allowing inference at larger scales. Drone Pilot Certification can be an important step for natural resource professional, allowing them to collect extensive data on ecosystem structure, wildlife habitat, and other information. This study guide is designed to provide essential information to prepare for the FAA Remote Pilot Knowledge exam for natural resource professionals.
New study: Regeneration and microclimate patterns in a structurally diverse ponderosa pine forest
Forest restoration treatments in ponderosa pine forests of the western US emphasize creation and maintenance of complex forest spatial pattern. Patterns of canopy cover and light can alter microclimate and impact seedling germination and growth. We studied fine-scale abiotic conditions and seedling dynamics for 3 years in a dry conifer forests near Denver, Colorodo. We found that canopy cover was important for mitigating extreme conditions, but that survival of all species was greatest in warm dry microclimates.
New study: Protecting planted longleaf pine from severe winds
Planted stands of longleaf pine contribute to landscape-scale restoration of the ecosystem and the imperiled species it harbors. Yet frequent severe winds from hurricanes occur throughout its range. We surveyed planted stands of longleaf pine in the aftermath of Hurricane Michael. We found that damage increased with forest fragmentation and stands with increased taper were most resistant
Now hiring: Landscape Ecology Research Technician
We are seeking applicants from motivated individuals for a Seasonal Research Technican to help with upcoming studies on disturbance ecology and restoration in longleaf pine! Applications are due April 5, 2024.
