Will AI Replace Remote Sensing Technicians?

Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.

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

Verify integrity and accuracy of data contained in remote sensing image analysis systems.

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

Integrate remotely sensed data with other geospatial data.

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

Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.

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

Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.

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

Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.

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

Merge scanned images or build photo mosaics of large areas, using image processing software.

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

Participate in the planning or development of mapping projects.

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

Prepare documentation or presentations, including charts, photos, or graphs.

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

Correct raw data for errors due to factors such as skew or atmospheric variation.

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

Calibrate data collection equipment.

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

Develop or maintain geospatial information databases.

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

Monitor raw data quality during collection, and make equipment corrections as necessary.

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

Maintain records of survey data.

Routine cognitive or manual task with high vulnerability to automation.

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.

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

Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers.

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

Document methods used and write technical reports containing information collected.

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

Develop specialized computer software routines to customize and integrate image analysis.

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

Collaborate with agricultural workers to apply remote sensing information to efforts to reduce negative environmental impacts of farming practices.

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

Collect remote sensing data for forest or carbon tracking activities involved in assessing the impact of environmental change.

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

Provide remote sensing data for use in addressing environmental issues, such as surface water modeling or dust cloud detection.

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