This past summer I had the privilege to work as a UAS pilot at Purdue University's ACRE (Agronomy Center for Research and Education) facility and the subsequent fields that surrounded the area. The fields varied in differing experiments being conducted and monitored on corn, soybean, and sorghum. My role was to continually fly and monitor different fields, collect data and upload data, and maintain a small fleet of various sensors and platforms needed for scientific collection. ACRE fields The flight area was a couple miles West of Purdue University, off of US-52 W. The flights were conducted over a series of both corn and soybean plots throughout the summer. Due to a plethora of conditions including weather and cloud coverage consistency, the flights were largely conducted on a day-to-day basis with the mindset of data collection quality over quantity. Soybean field on 6/7/24 The first couple weeks of data collection was monitoring growth rates of freshly germinated plants. To dem...
Volumetric analysis attempts to determine the calculated volume of a pile, area, mining shaft, etc. One can find this by querying out a certain area or polygon, then drawing a base-line so to say that has a minimum floor. All captured height data determined is measured against that initial floor’s values and one can determine total volume above the plane. By drawing a polygon around a particular pile and using the extract by mask tool I was able to evaluate the elevations of the pile and then, inserted a volume table beneath the map with total height above 293m msl. A table was made for each different dsm captured at differing dates with coordinate system pixel size (gsd) and minimum and maximum elevation values. Then each was reclassed to smaller sizes (10cm and 100cm). Below are a series of maps with three respective dates and each map with a given date has been resampled to both 10cm and 100cm. Each dsm model has a hill shade with transparency and elevation features have ...
Features can also be defined measured with other forms of tools and highlighted with buffers. The pairwise buffer tool is helpful in creating zoning areas that can be visually appreciated. Below is a map that has highlighted roads of a flight area at Purdue Wildlife Area. The roads were manually configured using the draw polygon tool. That way, all roads can be accounted for with no error. The roads are still grass features, so the classification wizard querying did earlier would not be accurate, whereas the map above is. Now, I added a 20m buffer from all roads highlighted on the map. This gives you a visualization of the land that is further than 20 meters from all roads. Due, to the road grid pattern being tight, the amount of land is quite small. The buffer feature can also be used for other features. As seen below, I have put a buffer around mostly trees, but in total, all objects that exceed 10 meters in height. Another form of analysis can be found when the same buffers abo...
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