Introduction
Today I am going to calculate the volume of a pile of raw materials using UAS imagery, Pix4D and ArcGIS Pro. Once I have successfully done this, I will keep track of this piel over time to determine how the volume changes. Being able to estimate the volume of piles is very handy in industry. This can be utilized to estimate the weight, size or even dollar value of raw materials a supplier has on hand.
Part 1: Volumetric Analysis in Pix4D vs ArcGIS Pro
Pix4D
I began by doing the volumetric calculation in Pix4D. To set the environment, I loaded the data, turned off the cameras and GCPs and loaded the dense point clouds. This gives a clean image of the stockpiles to work with. Under the “view” tab I selected “volumes”. This tool allows me to calculate the volume of the selected area. Figure 7.1 shows this selected area in green and the red is the volume calculated.
Figure 7.1: Piles in Pix4D
Calculating the volume of the pile is as simple as pressing “calculate”. This is a very quick and easy way to calculate the volume from data like this. Figure 7.2 shows the result of the calculation. I will be comparing this to the ArcGIS Pro results later.
Figure 7.2: Pix4D volumetric calculation of the pile
ArcGIS Pro
ArcGIS Pro on the other hand was a bit more involved. I had to first create a polygon shape that roughly mirrored the base of the pile (Figure 7.3). I then used the “Extract by Mask” tool to create a layer from this shape of the pile by itself (Figure 7.4).
Figure 7.3: Polygon around the base of the pile
Figure 7.4: Extract by Mask output
The Surface Volume tool can be used on the new layer. However, first I had to assess the base height by surveying the base around the pile and taking the average. The tool can then be run which will output the volume in a .txt file which is shown in Figure 7.5. I compiled a final map in ArcGIS Pro to give a better summary of what I did.
Figure 7.5: Surface Volume tool output featuring the final volume calculation of the pile
Figure 7.6: Final map showing where the piles were located
Part 2: Volumetric Analysis Over Time
For this section i will be working solely in ArcGIS Pro as it is easier to present the data and tends to have a higher degree of accuracy. I will be looking at 3 different data sets taken at different times of the ame pile. This will mimic a situation where a client wants updates and trends on what is happening to their stockpile over time. I have included in a table below the properties of each data set (Figure 7.7).
Figure 7.7: Data set properties
My first step here was to resample the data. As you saw in Figure 7.7, the datasets have different pixel sizes across them. If I want to keep as much consistency as possible between them it would be best to keep the same pixel size across them. For this exercise, I will be using the bilinear resampling method which is useful for continuous data. It does cause some data smoothing but it takes less time than other methods.
Once the data was resample, I followed the same methods listed in Part 1 of this post to get the final volumetrics of the piles. I have combined this into a table below (Figure 7.8).
Figure 7.8: Changes in volume over time (between data sets)
Discussion
In part 1 where I did the same operation on the same data set I found that Pix4D was much easier to use. I would consider using this for low-risk operations or quick estimates. ArcGIS Pro takes a significant chunk of time but if precision is desired it is worth it.
In part 2, From this I can see that the pile grows within the first month and then decreases within the second month based on the table in Figure 7.8. ArcGIS Pro is good for presenting results in a neat and clean format which works well if you need to present work over time for a client.
Conclusion
Volumetric analysis is a very useful tool in industry especially dealing with raw material and mining operations. Having just a simple UAS capable of capturing aerial imagery and creating orthomosaics is helpful in determining this data. With the right person and equipment these operations can be performed at relatively low cost yet yield extremely valuable results.