Collect geographical or geological field data.

Collect geographical or geological field data. is a detailed work activity in O*NET — a concrete unit of work shared across 7 occupations and seen in 11 occupation-specific tasks. It rolls up into the broader work activity Collect environmental or biological samples. in Handling and Moving Objects .

Detailed work activities are the most granular shared layer in O*NET's work-activity hierarchy (Generalized → Intermediate → Detailed → occupation-specific task). The figures below describe how this activity shows up across the economy and what independent studies measure about AI and this kind of work — not a prediction that the work will be automated.

AI exposure

Of the 11 tasks under this activity that the OpenAI / Eloundou “GPTs are GPTs” study rated, 7 (64%) are flagged as directly exposed to language models (E1) or exposed via model-powered tools (E2).

The Anthropic Economic Index observes real AI use on 1 of these tasks, with a mean mapped-usage share of 0.005% per task.

Exposure estimates overlap with model capabilities — whether a model could speed the task up — not whether the work will be done by software. Observed AI use is augmentation and assistance today, not jobs replaced.

Member tasks

Occupation-specific tasks O*NET maps to this detailed work activity, most important first.

• Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems. · Remote Sensing Technicians · importance 4.4 · exposure with tools
• Collect information about soil or field attributes, yield data, or field boundaries, using field data recorders and basic geographic information systems (GIS). · Precision Agriculture Technicians · importance 4.2 · exposure with tools
• Gather and compile geographic data from sources such as censuses, field observations, satellite imagery, aerial photographs, and existing maps. · Geographers · importance 4.2 · exposure with tools
• Gather information from geographic information systems (GIS) databases or applications to formulate land use recommendations. · Conservation Scientists · importance 4.1 · exposure with tools
• Collect supporting data, such as climatic or field survey data, to corroborate remote sensing data analyses. · Remote Sensing Scientists and Technologists · importance 3.9 · exposure with tools
• Collect data on physical characteristics of specified areas, such as geological formations, climates, and vegetation, using surveying or meteorological equipment. · Geographers · importance 3.7 · no direct exposure
• Conduct field work at outdoor sites. · Geographers · importance 3.6 · no direct exposure
• Collect verification data on the ground, using equipment such as global positioning receivers, digital cameras, or notebook computers. · Remote Sensing Technicians · importance 3.4 · exposure with tools
• Participate in fieldwork. · Remote Sensing Scientists and Technologists · importance 3.3 · no direct exposure
• Conduct laboratory or field experiments with plants, animals, insects, diseases, and soils. · Forest and Conservation Technicians · importance 2.9 · no direct exposure
• Collect geological data from potential geothermal energy plant sites. · Geological Technicians, Except Hydrologic Technicians · exposure with tools

Occupations that perform this

• Remote Sensing Technicians
• Precision Agriculture Technicians
• Geographers
• Conservation Scientists
• Remote Sensing Scientists and Technologists
• Forest and Conservation Technicians
• Geological Technicians, Except Hydrologic Technicians

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-collect-geographical-or-geological-field-data,
  title  = {Collect geographical or geological field data.},
  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/detailed-activities/collect-geographical-or-geological-field-data}
}