Applications in GIS - Module 2 - Forestry and Lidar

In the second module for Applications in GIS we were introduced to a more in depth look into LiDAR. LiDAR stands for "Light Detection and Ranging", and while it has been a remote sensing method traditionally used in forestry science, I was first introduced to it while working the field of archaeology. This week's module focused on how LiDAR is applied in forest management and earth science in general.

In this week's lab we worked with LiDAR data from the Shenandoah National Park, Virginia, to examine tree height and tree canopy density.  The LiDAR data we used was obtained from the USGS in the form of an .las file, and then converted to a digital elevation model (DEM). To do this, we used the LAS Dataset to Raster tool in ArcGIS Pro. Next we created a forest height from the DEM and created a map with an accompanying chart showing the tree height. To finish we created a canopy density layer using the LAS to MultiPoint tool, Point to Raster tool, IS NULL tool, Con tool, Plus tool, and finally the Divide tool. 

Below are the maps I created as a result of the data that was generated throughout the process of the lab.