Remote Sensing Technicians
Apply remote sensing technologies to assist scientists in areas such as natural resources, urban planning, or homeland security. May prepare flight plans or sensor configurations for flight trips.
How AI Impacts Each Task
22 tasks analyzed
Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.
Verify integrity and accuracy of data contained in remote sensing image analysis systems.
Correct raw data for errors due to factors such as skew or atmospheric variation.
Integrate remotely sensed data with other geospatial data.
Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.
Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
Merge scanned images or build photo mosaics of large areas, using image processing software.
Calibrate data collection equipment.
Develop or maintain geospatial information databases.
Monitor raw data quality during collection and make equipment corrections as necessary.
Participate in the planning or development of mapping projects.
Maintain records of survey data.
Operate airborne remote sensing equipment, such as survey cameras, sensors, or scanners.
Evaluate remote sensing project requirements to determine the types of equipment or computer software necessary to meet project requirements, such as specific image types or output resolutions.
Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers.
Document methods used and write technical reports containing information collected.
Develop specialized computer software routines to customize and integrate image analysis.
Prepare documentation or presentations, including charts, photos, or graphs.
Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices.
Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection.
Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change.
| Task | AI Capability | Risk | Time % | |
|---|---|---|---|---|
| Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems. | 87Estimated | 84.0% | 6% | |
| Verify integrity and accuracy of data contained in remote sensing image analysis systems. | 92Estimated | 86.0% | 6% | |
| Correct raw data for errors due to factors such as skew or atmospheric variation. | 80Estimated | 59.0% | 5% | |
| Integrate remotely sensed data with other geospatial data. | 70Estimated | 55.0% | 6% | |
| Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs. | 30Estimated | 27.0% | 5% | |
| Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines. | 92Estimated | 86.0% | 6% | |
| Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights. | 70Estimated | 55.0% | 5% | |
| Merge scanned images or build photo mosaics of large areas, using image processing software. | 95Estimated | 87.2% | 5% | |
| Calibrate data collection equipment. | 56.03Observed | 55.4% | 3% | |
| Develop or maintain geospatial information databases. | 87Estimated | 84.0% | 5% | |
| Monitor raw data quality during collection and make equipment corrections as necessary. | 27.32Observed | 60.1% | 4% | |
| Participate in the planning or development of mapping projects. | 50Estimated | 47.0% | 5% | |
| Maintain records of survey data. | 95Estimated | 87.2% | 3% | |
| Operate airborne remote sensing equipment, such as survey cameras, sensors, or scanners. | 75Estimated | 63.0% | 4% | |
| Evaluate remote sensing project requirements to determine the types of equipment or computer software necessary to meet project requirements, such as specific image types or output resolutions. | 55Estimated | 49.0% | 4% | |
| Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers. | 20Estimated | 17.0% | 4% | |
| Document methods used and write technical reports containing information collected. | 41.52Observed | 65.8% | 5% | |
| Develop specialized computer software routines to customize and integrate image analysis. | 47.45Observed | 46.0% | 5% | |
| Prepare documentation or presentations, including charts, photos, or graphs. | 53.7Observed | 70.7% | 5% | |
| Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices. | 30Estimated | 27.0% | 3% | |
| Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection. | 87Estimated | 84.0% | 3% | |
| Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change. | 90Estimated | 85.2% | 3% |
Skill Impact Analysis
AI-Vulnerable Skills (6)
High reliance on Information Ordering is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Reading Comprehension is a risk area. Consider developing complementary AI-resistant skills to maintain value.
High reliance on Mathematics is a risk area. Consider developing complementary AI-resistant skills to maintain value.
Programming is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
Memorization is AI-vulnerable but has moderate importance in this role. AI tools may handle this; focus on higher-value skills.
AI-Resistant Skills (11)
Adaptability/Flexibility is AI-resistant — strengthening this skill provides durable career protection.
Leadership is AI-resistant — strengthening this skill provides durable career protection.
Complex Problem Solving is AI-resistant — strengthening this skill provides durable career protection.
Coordination is AI-resistant — strengthening this skill provides durable career protection.
Social Perceptiveness is AI-resistant — strengthening this skill provides durable career protection.
Instructing is AI-resistant — strengthening this skill provides durable career protection.
Negotiation is AI-resistant — strengthening this skill provides durable career protection.
Persuasion is AI-resistant — strengthening this skill provides durable career protection.
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Risk reduction and salary impact are estimates based on skill gap analysis, course relevance, and labor market data. Actual results vary by individual circumstance.
Score History
Risk score over 2 scoring runs
overall change
Education & Training
Percentage of workers at each education and training level
Training Provided After Hiring
How long it typically takes to learn on the job
Last scored March 14, 2026 · Based on BLS employment data and O*NET task analysis