Abstract and GIS Day

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On top of the progress we have made in data collection and processing, we have also written the abstract for our poster and applied to participate in Purdue GIS day on November 5th. The abstract was to be 250 words or less and encompass what our project is about.

Abstract:

The high-resolution data captured from a UAS, such as thermal imagery, can be utilized in a wide variety of applications. The flexibility of using UAS to capture thermal data allows for multiple sets of data to be captured in a relatively short period of time at an almost on-demand basis. To best display the abilities of thermal imagery, the temperature changes of an area throughout the day were captured with the thermal sensor. These temperature changes are called diurnal heat patterns. Current data collection methods for studying diurnal heat patterns include satellite and aerial photography. However, problems with these methods include cost, speed, timing, and resolution. To address these challenges, a DJI M600 Pro with an attached Zenmuse XT2 sensor was used to collect the data. Another flight was made at the same location at evenly spaced intervals throughout the day to ensure that the temperature changes were captured as they happened. The images were combined into an orthomosaic to show a large area over several acres. The images were then compared to see how different materials reacted differently to the change in ambient temperature. For example, the metal roof of one building changed very little in temperature throughout the day while another building changed drastically. This study shows just one of many capabilities of UAS data collection.

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