LiDAR customization Project
LiDAR customization Project
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Developed a custom ArcGIS Modelbuilder Model to help create zonal statistics products from first-order LiDAR derivatives. The main goal was to help end-users gather information on tree stands before going out into the field.
Developed a custom ArcGIS Modelbuilder Model to help create zonal statistics products from first-order LiDAR derivatives. The main goal was to help end-users gather information on tree stands before going out into the field.
The two pictures on the left are examples of products created through our modeled workflow. The top left picture shows average values for a canopy height model within each tree stand polygon. The bottom left picture shows a DEM that has had values filtered by our model in case end-users wanted to exclude some data values from being used in the zonal statistics - the pixels in red within the stands are values that got filtered out.
The two pictures on the left are examples of products created through our modeled workflow. The top left picture shows average values for a canopy height model within each tree stand polygon. The bottom left picture shows a DEM that has had values filtered by our model in case end-users wanted to exclude some data values from being used in the zonal statistics - the pixels in red within the stands are values that got filtered out.
The large picture on the right is an example of the model and the workflow we used. You can see how many tools and planning went into optimizing this model.
The large picture on the right is an example of the model and the workflow we used. You can see how many tools and planning went into optimizing this model.
I aided in adding necessary tools to the model, optimizing the model to run smoothly and correctly, and collaborated with a team of 3 other people to expand the capacity of the model. A few noteworthy things was that I created a Python script that helped branch the model based on what end-users wanted their slope values to be in - either degree or percent slope. I also played a role in developing a tool that extracted values of the input raster that were 2 standard deviations above or below the mean value of the raster. Another important aspect was that I collaborated with a team member in creating documentation products, most notably the user guide for the model.
I aided in adding necessary tools to the model, optimizing the model to run smoothly and correctly, and collaborated with a team of 3 other people to expand the capacity of the model. A few noteworthy things was that I created a Python script that helped branch the model based on what end-users wanted their slope values to be in - either degree or percent slope. I also played a role in developing a tool that extracted values of the input raster that were 2 standard deviations above or below the mean value of the raster. Another important aspect was that I collaborated with a team member in creating documentation products, most notably the user guide for the model.
The outcome of the project was getting this prototype of the model completed, and presenting the product to a group of end-users interested in the model's development.
The outcome of the project was getting this prototype of the model completed, and presenting the product to a group of end-users interested in the model's development.
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