People Team AI Ask about a date

How exposed to AI is a Remote Sensing Scientists and Technologist?

Of the 24 tasks O*NET lists for remote sensing scientists and technologists, 4 could be done in half the time with a chat window today. 6 cannot be sped up at all. Here is which.

Exposure means published research judged an AI could halve the time a task takes, at the same quality. It does not mean the task stops needing a person. How to read this

Also called
Geospatial Intelligence AnalystImage ScientistRemote Sensing AnalystRemote Sensing ScientistResearch ScientistScientistSensor Specialist
Reachable today Needs software built first Cannot be sped up
24
tasks rated for this occupation
96%
hold a degree, from a survey of 25
20k
people do this job in the US
28 of 60
least protected in science

Every task, and what AI can do with it

These are O*NET's task statements for this occupation, exactly as written, sorted into the three bands by the ratings behind this report. Nothing has been reworded.

Reachable with a chat window today

4
  • Design or implement strategies for collection, analysis, or display of geographic data
  • Prepare or deliver reports or presentations of geospatial project information
  • Train technicians in the use of remote sensing technology
  • Recommend new remote sensing hardware or software acquisitions

Only with software built on top

14
  • 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
  • Organize and maintain geospatial data and associated documentation
  • Conduct research into the application or enhancement of remote sensing technology
  • Apply remote sensing data or techniques, such as surface water modeling or dust cloud detection, to address environmental issues
  • Develop automated routines to correct for the presence of image distorting artifacts, such as ground vegetation
  • Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary
  • Develop new analytical techniques or sensor systems
  • Compile and format image data to increase its usefulness
  • Set up or maintain remote sensing data collection systems
  • Use remote sensing data for forest or carbon tracking activities to assess the impact of environmental change
  • Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software
  • Direct installation or testing of new remote sensing hardware or software

Cannot be sped up

6
  • 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
  • Discuss project goals, equipment requirements, or methodologies with colleagues or team members
  • Participate in fieldwork
  • Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing
What this does not say

This is not a prediction about your job

Nobody surveyed an employer. Tasks are counted equally, so a percentage here is a share of the list rather than a share of your week. And the ratings were made in 2023, which makes every figure a floor rather than a ceiling.

It must never be used to select anyone for redundancy. The full limits are here.

Where to go next

This is the standard task list for the title. The useful next question is which of the tasks you actually do should go near AI, and which should not.

Sort your own tasks Read the full report

Exposure ratings from Eloundou, Manning, Mishkin and Rock, GPTs are GPTs: Labor market impact potential of LLMs, Science 384, 1306–1308, 2024, used under the MIT licence. This page includes information from the O*NET Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. People Team AI has modified all or some of this information. USDOL/ETA has not approved, endorsed, or tested these modifications. Employment figures from the US Bureau of Labor Statistics.