Science & ResearchO*NET: 19-2099.01
Will AI Replace Remote Sensing Scientists and Technologists?
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.
49out of 100
Medium Risk
AI Risk Score
49/100
Risk Level
Medium
Job Zone
4/5
Advanced
Total Tasks Analyzed
24
🤖 What AI Can Do
- â–¸Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
- â–¸Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
- â–¸Integrate other geospatial data sources into projects.
- â–¸Organize and maintain geospatial data and associated documentation.
- â–¸Compile and format image data to increase its usefulness.
- â–¸Prepare or deliver reports or presentations of geospatial project information.
👤 What Requires Humans
- â–¸Providing empathy and emotional support
- â–¸Creative problem-solving in ambiguous contexts
- â–¸Physical tasks requiring fine motor skills and dexterity
Task Breakdown
🤖AI Can Automate (18)
- Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
- Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
- Integrate other geospatial data sources into projects.
- Organize and maintain geospatial data and associated documentation.
- Compile and format image data to increase its usefulness.
- Prepare or deliver reports or presentations of geospatial project information.
- Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
- Process aerial or satellite imagery to create products such as land cover maps.
- Develop or build databases for remote sensing or related geospatial project information.
- Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.
- Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary.
- Set up or maintain remote sensing data collection systems.
- Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software.
- Conduct research into the application or enhancement of remote sensing technology.
- Recommend new remote sensing hardware or software acquisitions.
- Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.
- Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation.
- Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues.
âš¡AI-Assisted (6)
- Design or implement strategies for collection, analysis, or display of geographic data.
- Train technicians in the use of remote sensing technology.
- Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.
- Develop new analytical techniques or sensor systems.
- Participate in fieldwork.
- Direct installation or testing of new remote sensing hardware or software.
Key Skills Analysis
Reading ComprehensionAI-Vulnerable
Importance: 4.00/5.00
Critical ThinkingAI-Resistant
Importance: 4.00/5.00
Active Listening
Importance: 3.88/5.00
WritingAI-Vulnerable
Importance: 3.88/5.00
Speaking
Importance: 3.88/5.00
Science
Importance: 3.88/5.00
MathematicsAI-Vulnerable
Importance: 3.75/5.00
Complex Problem SolvingAI-Resistant
Importance: 3.75/5.00
Judgment and Decision MakingAI-Resistant
Importance: 3.75/5.00
Systems AnalysisAI-Vulnerable
Importance: 3.62/5.00
Systems Evaluation
Importance: 3.62/5.00
Active LearningAI-Resistant
Importance: 3.38/5.00
Monitoring
Importance: 3.38/5.00
Operations AnalysisAI-Vulnerable
Importance: 3.25/5.00
Learning Strategies
Importance: 3.12/5.00
Related Occupations
Remote Sensing Technicians
82/100 — Critical Risk
Electro-Mechanical and Mechatronics Technologists and Technicians
87/100 — Critical Risk
Geographic Information Systems Technologists and Technicians
53/100 — Medium Risk
Geological Technicians, Except Hydrologic Technicians
77/100 — High Risk
Geodetic Surveyors
46/100 — Medium Risk
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Frequently Asked Questions
Based on our analysis, Remote Sensing Scientists and Technologists have a medium risk of AI replacement with a score of 49/100. While some tasks can be assisted by AI, the core responsibilities require human judgment and skills.
Last updated: 2026-03-28· Data from O*NET 30.2 & Frey/Osborne automation research