LiDAR and Forestry

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This week's task was to use LiDAR data to create a dataset of forestry maps. Before beginning the analysis, I downloaded the .las file. First, I ran the Point File Information tool to determine the average point spacing, which was used later in the analysis. Next, I created a Digital Elevation Model (DEM) and Digital Surface Model (DSM) using the LAS Dataset to Raster tool. I used the minus tool and the DEM and DSM rasters in order to determine the forest height. This data was also inputted into a histogram. The final result of this analysis is in the Height Map and Chart. 

In order to create maps that depict canopy density, I began by converting the .las file into two multipoint files, one for ground and one for vegetation, using the LAS to Multipoint tool. The class was adjusted for each map. Next, I converted the Multipoint files to rasters using the Point to Raster Tool. Following this, I ran both rasters through the Is Null tool in order to create a binary file, 1 represented all non-null values. Then, I ran both rasters through the Con tool to make sure a value of 0 is considered a true value, and a value of 1 is pulled from the original raster. Next, I used the Plus tool to combine the ground and vegetation rasters. I also used the Float tool to move the result from integer to float. Finally, I ran the Divide tool with the vegetation raster and the float result. The final result was the Canopy Density map. 




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