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Automation Risk Analysis

Will “Unmanned Aerial Systems Operator (UAS Operator)” be Automated?

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AI Exposure Risk

60%

“Unmanned Aerial Systems Operator (UAS Operator)” will maybe be replaced by AI.

Based on the cognitive demands, communication requirements, and logical reasoning intrinsic to this occupation according to O*NET data, we project a 60% probability of disruption by generative AI and Large Language Models.

Automation & Robot Risk

36%

“Unmanned Aerial Systems Operator (UAS Operator)” will probably not be replaced by robots.

Evaluating the physical dexterity, repetitive motion tasks, and manual labor associated with this role, our analysis indicates a 36% likelihood of substitution by advanced robotics systems.

Personal & Financial Insights

Every occupation has a unique profile. For Remote Sensing Scientists and Technologists, the Bureau of Labor Statistics and O*NET classify the day-to-day work broadly as: Apply remote sensing principles and methods to analyze data and solve problems in areas such as natural resource management, urban planning, or homeland security. May develop new sensor systems, analytical techniques, or new applications for existing systems.

Job Title & Hierarchy Code (SOC) Remote Sensing Scientists and Technologists #19-2099.01
ℹ️

Data is based on the reference occupation: “Remote Sensing Scientists and Technologists”

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Core Skills & Abilities

  • Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.

  • Train technicians in the use of remote sensing technology.

  • Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.

  • Integrate other geospatial data sources into projects.

  • Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.

  • Set up or maintain remote sensing data collection systems.

  • Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.

  • Prepare or deliver reports or presentations of geospatial project information.

  • Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).

  • Manage or analyze data obtained from remote sensing systems to obtain meaningful results.

  • Participate in fieldwork.

  • Conduct research into the application or enhancement of remote sensing technology.

  • Design or implement strategies for collection, analysis, or display of geographic data.

  • Process aerial or satellite imagery to create products such as land cover maps.

  • Develop new analytical techniques or sensor systems.

  • Organize and maintain geospatial data and associated documentation.

  • Develop or build databases for remote sensing or related geospatial project information.

  • Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.

  • Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.

  • Direct installation or testing of new remote sensing hardware or software.

  • Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.

  • Discuss project goals, equipment requirements, or methodologies with colleagues or team members.

  • Compile and format image data to increase its usefulness.

  • Recommend new remote sensing hardware or software acquisitions.

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Alternative Job Titles