Compile and format image data to increase its usefulness.

“Compile and format image data to increase its usefulness.” is a core task performed by Remote Sensing Scientists and Technologists. Among the occupation's 24 rated tasks, workers place it 20th by importance (#5 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.

• Create visual designs or displays. in Thinking Creatively

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.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.016% share of AI-use records mapped to this task
• 53% of that use is work-related
• Most common interaction: directive
• Average autonomy of the AI: 2.9 (1–5; higher = more autonomous)
• 95% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

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
• 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
• Direct all activity associated with implementation, operation, or enhancement of remote sensing hardware or software. · importance 3.7

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
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-task-18265,
  title  = {Compile and format image data to increase its usefulness.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-18265}
}