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AT 209 – Autonomous Aircraft Technology and Maintenance I
AT 219-Autonomous Aircraft Technology and Maintenance Il
AT 309 - Introduction to UAS Sensor Technology
AT 319 - Unmanned Aerial Systems Applications, Data, and Documentation
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This course builds on previous UAS and GIS classes by focusing on how drone collected data is processed, analyzed, and turned into useful products. AT 319 is less about flying and more about what happens after the flight, including working with imagery, spatial data, and professional documentation. The class emphasizes understanding how data quality, collection methods, and processing choices affect final results.

Throughout the semester, I work with real UAS datasets and industry software to create maps, analyze spatial information, and document workflows. Labs and assignments are structured to reflect real-world UAS data projects, where attention to detail, organization, and repeatable processes matter just as much as the final output.

Course Focus Areas

Key areas emphasized in AT 319 include:
Processing and managing UAS imagery and geospatial data
Understanding data accuracy, resolution, and limitations
Creating maps and visual products for analysis and communication
Using GIS software to analyze and interpret UAS data
Applying consistent workflows for data organization and documentation
Building professional-quality deliverables suitable for portfolios

Lab Index

Each lab documents the full workflow of a UAS data task, from raw data to final output. Labs focus on applying lecture concepts through hands-on processing, analysis, and documentation.
Labs typically include:
Importing and organizing UAS datasets
Image processing and data preparation
GIS-based analysis and map creation
Accuracy checks and data validation
Screenshots, figures, and final map outputs
Written explanations and reflections

Learning Reflections

Key takeaways from AT 319:
Better understanding of how UAS data is processed and analyzed
Improved confidence using GIS tools for spatial analysis
Stronger awareness of data quality and accuracy issues
Experience creating clean, professional map products
Improved organization and documentation habits
Clearer understanding of how UAS data is used in industry settings

Skills Gained

UAS data processing and analysis
GIS and spatial data workflows
Map creation and visual communication
Data quality assessment
Technical documentation
Professional organization and file management
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