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How exposed to AI is a Remote Sensing Technician?

Of the 22 tasks O*NET lists for remote sensing technicians, 3 could be done in half the time with a chat window today. 4 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
Digital Cartographic TechnicianGeospatial ExtractorMeteorologist LiaisonResearch Associate
Reachable today Needs software built first Cannot be sped up
22
tasks rated for this occupation
71%
hold a degree, from a survey of 30
62k
people do this job in the US
17 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

3
  • Prepare documentation or presentations, including charts, photos, or graphs
  • Document methods used and write technical reports containing information collected
  • Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection

Only with software built on top

15
  • 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
  • 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
  • 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
  • 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
  • Develop specialized computer software routines to customize and integrate image analysis
  • Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change

Cannot be sped up

4
  • Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights
  • Participate in the planning or development of mapping projects
  • Correct raw data for errors due to factors such as skew or atmospheric variation
  • Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices
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.