AI Automation Index

Will AI Replace Remote Sensing Scientists and Technologists?

Analyze the automation vulnerability, task-level AI risk, salary, and demand projection for Remote Sensing Scientists and Technologists. Run the upskilling simulator.

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• Developed & audited by Gini Loh

AI Vulnerability

31% risk score

Median Salary

$122,570 / year

Growth Demand

Low

Constituent Task Mix

We parsed O*NET's 24 constituent tasks for this occupation and classified them by AI threat risk.

High Automation Risk (Routine Tasks) 0%
Medium Automation Risk (Cognitive/Technical) 63%
Low Automation Risk (Strategy/Leadership) 37%

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constituent Tasks

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Integrate other geospatial data sources into projects.

Semi-structured task combining routine and non-routine responsibilities.

Organize and maintain geospatial data and associated documentation.

Semi-structured task combining routine and non-routine responsibilities.

Compile and format image data to increase its usefulness.

Semi-structured task combining routine and non-routine responsibilities.

Prepare or deliver reports or presentations of geospatial project information.

Semi-structured task combining routine and non-routine responsibilities.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Semi-structured cognitive task involving analysis, inspection, or monitoring.

Train technicians in the use of remote sensing technology.

Semi-structured task combining routine and non-routine responsibilities.

Set up or maintain remote sensing data collection systems.

Semi-structured task combining routine and non-routine responsibilities.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured task combining routine and non-routine responsibilities.

Recommend new remote sensing hardware or software acquisitions.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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

Semi-structured cognitive task involving analysis, inspection, or monitoring.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Develop new analytical techniques or sensor systems.

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

Participate in fieldwork.

Semi-structured task combining routine and non-routine responsibilities.

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

Semi-structured task combining routine and non-routine responsibilities.

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

Complex problem-solving, strategic leadership, or high-empathy task requiring human judgment.

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Community Sentiment

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O*NET Methodology

O*NET Data Source

This page dynamically extracts data structures sponsored by the U.S. Department of Labor. Our AI classification applies cognitive task automation risk models to individual tasks.

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