Module 2 LiDAR: Wetland Delineation

 During this week's module, I was tasked with utilizing LiDAR data to create 3D maps that would showcase the canopy density, topographic elevation, and tree height distribution in Shenandoah National Park, Virginia. This was my first time working with LiDAR data, so the tools utilized throughout this lab exercise were new to me. After downloading the LiDAR layer to create a DEM and DSM, I had to use the Point File Information tool. This tool was new to me because it is used to summarize the contents of LAS or ASCII files, which are attributed to LiDAR data. I was also introduced to two new analyst tools, LAS Dataset to Raster and the Minus tool. The LAS Dataset to Raster gave me the DEM and DSM maps that I would eventually input in the Minus tool to create a tree height estimation. I liked how the map and the accompanying bar graph put into perspective the distribution of tree height. This tree height could be utilized by land managers to identify areas needing restoration or ideal habitat for specific wildlife. To create the canopy density, I had to create vegetation and ground multipoints that would then be converted into raster layers. These were also new layers to me and at the end used the Divide tool to calculate the density of vegetation counts. The density map is conveying how close the trees are to each other, the density of trees, throughout the area. The map also shows that the higher density area of trees are more common in the lower elevated areas. By being closer to each other, the plant crowns of the trees are close enough to create a top layer. This can be helpful for foresters if they are seeking to restore areas with lower tree densities. Prior to this lab, I would not be comfortable working with LiDAR data. Now, I feel like I can make significant progress using LiDAR data with my newly learned skillset. I hope to use this new skillset in my career to conduct preliminary wetland delineations from a desktop review prior to a field visit.