Tag: forestry

Now hiring: Landscape Ecology Geospatial Analyst

We are seeking motivated individuals to apply for a Geospatial Analyst position to contribute to research and development that will improve forest conservation efforts in the southeastern US. Both remote and in-person candidates will be considered. The successful applicant will integrate cutting edge technologies (UAV and lidar), field experiments, and data science techniques to contribute to collaborations with conservation agencies and research partners. The position will work in a team setting with staff of the Landscape Ecology lab at the Jones Center at Ichauway. Applications reviewed immediately.

Webinar: Future directions for hurricane disturbed forests

This webinar features a panel of experts in silviculture, forest economics, management, and disturbance to discuss challenges and opportunties for resarch and outreach related to hurricane disturbaed forests.

Featured speakers include Dr. Christine Cairns Fortuin, Dr. Jeffery Cannon, Dr. Robert Chastain, Dr. Michael Crosby, Dr. Jesse Henderson, Dr. Bruno Kanieski da Silva, Dr. Adam Polinko, and Dr. Shaun Tanger.

Now hiring: Mussel Conservation & Landscape Ecology Seasonal Technician

We are seeking applicants from motivated individuals for a Seasonal Research Technican to contribute to the development of a Habitat Conservation Plan for freshwater mussels. The successful applicant will assist with UAV stream surveys, use acoustic doppler on stream reaches, and conduct biological surveys for freshwater mussels. The position will work in a team setting, collaborating with the Jones Center Mussel Conservation and Landscape Ecology Research Teams. Applications reviewed immediately

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.