Will AI replace Remote Sensing Technicians?
Estimated risk score: 72 out of 100
High replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (53 to 91).
For the occupation as a whole, from ratings of its 22 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 19-4099.03 · Life, Physical, and Social Science
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 13 of its 22 rated tasks; the first 6 are shown. In O*NET’s words.
- Develop specialized computer software routines to customize and integrate image analysis.
- Document methods used and write technical reports containing information collected.
- Maintain records of survey data.
- Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
- Integrate remotely sensed data with other geospatial data.
- Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 22 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
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.
Also called: Geospatial Extractor, Meteorologist Liaison, Digital Cartographic Technician, Remote Monitor, sUAS Technician, Verification Technician, Document Image Technician, Unmanned Systems Technician.
Source. This site includes information from the O*NET 30.1 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. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate