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  • Presentation | B41E: Advancing Environmental Monitoring Through Near-Surface Remote Sensing: Capabilities, Applications, and Future Directions I Poster
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  • B41E-1912: Evaluating Systematic Elevation Errors in Drone-Derived DEMs Using RTK Ground Control in Precision Agriculture
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Author(s):
Blessing Ademola, University of Missouri (First Author, Presenting Author)
Fengkai Tian, University of Missouri
Guojie Ruan, University of Missouri
Jianfeng Zhou, University of Missouri


Drones are increasingly used to map farmland by creating detailed elevation maps of the land surface. These maps help farmers understand small changes in terrain that affect water movement and crop growth. However, the accuracy of these maps can vary depending on how they are made. In this study, we compared three different mapping methods to see how accurate they were. We used high-precision GPS measurements taken on the ground to check the maps. Our results showed that maps created without using ground reference points were much less accurate and had consistent errors across the field. The most accurate maps were those that combined drone data with precise ground measurements. These findings show how important it is to use the right setup when making elevation maps for agriculture and land management.



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Discussion