Remote Sensing Scientists and Technologists

Most exposed tasks

Highest structured exposure values in this role’s task mix — the work AI systems can already do most of.

• Manage or analyze data obtained from remote sensing systems to obtain meaningful results.68
• Process aerial or satellite imagery to create products such as land cover maps.68
• Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).65

Augmentable tasks

Work where AI assists rather than replaces — the productivity frontier of this role.

• Develop or build databases for remote sensing or related geospatial project information.55
• Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change.55
• Prepare or deliver reports or presentations of geospatial project information.45

Most durable tasks

Lowest exposure — typically judgment, relationships, physical presence, or accountability. This is the human moat.

• Discuss project goals, equipment requirements, or methodologies with colleagues or team members.25
• Train technicians in the use of remote sensing technology.25
• Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses.30

Task exposure values and classifications are published, versioned estimates audited against the anchored rubric. This page reads them from the data release rather than generating them at request time. Bars show exposure contribution relative to this role’s task mix.

What this means

A score of 48 puts Remote Sensing Scientists and Technologists in the most-exposed quarter of analyzed occupations. In practice, exposure this high is about the mix: 7 of 20 analyzed tasks lean automatable, 8 augmentable, and 5 durable. The useful question isn’t “will AI take this job” — it’s which tasks go first, which get faster, and where to reposition time. That’s what the personalized report maps against your actual week.

Lower-exposure adjacent roles

Shown only when the target is at least 10 points lower under the same score version and skill overlap is at least 50%. These are adjacent roles with lower task exposure — not guaranteed “safe careers”.

Labor-market context

• $122,570median wage
• 22,300employed
• 2,000annual openings
• +0.6%projected growth

Context only — labor statistics are not inputs to the exposure score. See methodology.

Related roles

Adjacent by skills or family — no exposure claim implied.

• Remote Sensing Technicians 45
• Geographic Information Systems Technologists and Technicians 52
• Geodetic Surveyors 53
• Surveying and Mapping Technicians 47
• Aerospace Engineers 44
• Cartographers and Photogrammetrists 49

How this score was calculated

FAQ — Remote Sensing Scientists and Technologists

Will AI replace Remote Sensing Scientists and Technologists?

This score cannot predict whether this occupation or any individual job will be replaced. It shows which tasks current and near-term AI can perform or accelerate, which tasks remain more durable, and where a worker can adapt. Employer decisions, demand, regulation, and how the role changes are outside the score.

What does a score of 48 mean for a Remote Sensing Scientists and Technologists?

It means that, weighted across the 20 tasks we analyzed for this role, the task mix sits at 48 on a 0–100 exposure scale — in the most-exposed quarter of analyzed occupations. It measures task exposure to current and near-term AI capabilities, not the probability of losing a job.

Which tasks in this role are most exposed to AI?

The highest-exposure tasks are: Manage or analyze data obtained from remote sensing systems to obtain meaningful results; Process aerial or satellite imagery to create products such as land cover maps; Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS). Exposure comes from the published, rubric-scored data release rather than being generated when you open this page.

Which parts of this job are most durable?

The most durable responsibilities are: Discuss project goals, equipment requirements, or methodologies with colleagues or team members; Train technicians in the use of remote sensing technology; Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses. Durable tasks typically depend on judgment, relationships, physical presence, or accountability.

Is this score personalized to me?

No — this page shows the occupation-level baseline. Two people with the same title often do different work. The $9 personalized report recalculates the score from the tasks you actually do and builds a concrete 7/30/90-day plan around them.