Introduction
Volumetric analysis is a useful tool to use when using ArcGIS Pro. There are countless situations in which why volumetric analysis is important. One such example for say is a construction company is interested in knowing different spatial properties about a huge pile of dirt they have and they specifically are curious about the spatial properties that are hidden to the human eye that we cannot see such as volume. By doing a volumetric analysis using a program such as ARC GIS pro they are able to potentially generate accurate and reliable data in regards to the volume of the huge pile of dirt allowing them to maybe create a plan of action of how they want to go about removing all the dirt.
Methods
For this lab we used two different geodatabases that were provided to us. To analyze the data that had been collected for us we needed to use ARC-GIS Pro to gain the necessary insights and to create the necessary deliverables that we where asked to produce at the conclusion of the lab.
The following are the steps used throughout the lab to generate proper volumetric analysis data.
Order of Operations
1. Examine the data in Arc Catalog
2. Create Extraction Clip Feature Class.
3. Perform Extract By Mask
4. Perform Surface Volume Analysis
5. Resample Data to 10cm (just the DSM)*
6. Datasets: Perform Volume on Stock pile for three collection dates
Discussion and Deliverables
When calculating volume, it is important to make sure your data looks clean visually. What I mean by this is to make sure it does not look all pixelated. If this occurs it is important to resample the data to make your clips clear sot that when running the volume analysis there are no errors in the processing. To do all of this it is important you have raster data or DSM. Calculating times during processing is also important to consider because time is money in the industry but faster does not always mean better as we saw with the 100 cm clip compared to the processing time of the 10 cm clip. The applications of using volume analysis go outside just calculating volume but can also be used for other spatial analysis operations such as calculating area and understanding spatial patterns perhaps.
Wolf-paving Map
Figure 1: Overview of the area of interest from the Wolf-paving GDP.
Lithfield Database maps and figures:
Figure 2: Comparing volume values from 8/27 at a 100 cm clip and a 10 cm clip. As you can see the 10 cm clip is much less pixelated compared to the 100 cm clip.
Figure 3: Volume comparison from the 7/22 pile and here you can see just how big how a difference the clip for the resample makes as the pixilation on 100cm clip makes the image look distorted.
Figure 4: Volume comparison after doing a pixel resample at 100 cm and 10 cm.
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