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

“Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.” is a core task performed by Remote Sensing Scientists and Technologists. Among the occupation's 24 rated tasks, workers place it 9th by importance (#16 most important). About 100% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Maintain current knowledge in area of expertise. in Updating and Using Relevant Knowledge

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 0.50. Automation potential label: T3.

Other tasks in this occupation

• Manage or analyze data obtained from remote sensing systems to obtain meaningful results. · importance 4.6
• Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS). · importance 4.5
• Integrate other geospatial data sources into projects. · importance 4.4
• Organize and maintain geospatial data and associated documentation. · importance 4.4
• Compile and format image data to increase its usefulness. · importance 4.3
• Prepare or deliver reports or presentations of geospatial project information. · importance 4.2
• Discuss project goals, equipment requirements, or methodologies with colleagues or team members. · importance 4.2
• Process aerial or satellite imagery to create products such as land cover maps. · importance 4.1
• Design or implement strategies for collection, analysis, or display of geographic data. · importance 4.0
• Develop or build databases for remote sensing or related geospatial project information. · importance 4.0
• Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses. · importance 3.9
• Monitor quality of remote sensing data collection operations to determine if procedural or equipment changes are necessary. · importance 3.9
• Train technicians in the use of remote sensing technology. · importance 3.9
• Set up or maintain remote sensing data collection systems. · importance 3.8

See all tasks on the Remote Sensing Scientists and Technologists page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-18273,
  title  = {Attend meetings or seminars or read current literature to maintain knowledge of developments in the field of remote sensing.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-18273}
}