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Remote Sensing Scientists and Technologists

SOC 19-2099.01Job Zone 4 · Considerable Preparationv.26.05

Context coveredThis framework covers the full spectrum of remote sensing science and technology practice — from supervised data processing and GIS analysis in laboratory and field settings to strategic leadership of enterprise geospatial programs across environmental, governmental, and commercial contexts.

Sources:O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.SkillsCrosswalkSkillsCrosswalk — O*NET enrichment + adjacency index. Opens in new tab.
Emerging
Entry / Apprentice
  1. Remote sensing datasets — retrieve and organize under direct supervision using established file management protocols in a geospatial lab environment.
  2. Image analysis software — apply basic functions to load and display aerial or satellite imagery under the guidance of a senior scientist.
  3. Geospatial data documentation — compile and maintain metadata records following standardized templates on assigned project files.
  4. Statistical analysis tools — execute pre-configured scripts to summarize remote sensing data outputs under direct oversight.
  5. Raw imagery files — format and convert to required project specifications using graphic or photo imaging software with supervisor direction.
  6. GIS platform basics — import vector and raster datasets and verify coordinate reference systems under structured guidance.
  7. Project status updates — draft written summaries of data collection progress using established report templates for team review.
  8. Equipment requirements — participate in team discussions about sensor platforms and data collection needs under the direction of a project lead.
  9. Land cover classification workflows — follow documented procedures to assign spectral classes to satellite imagery with close supervision.
  10. External geospatial data sources — locate and download publicly available datasets to support integration tasks as directed by senior staff.
Developing
Mid-level / Established
  1. Remote sensing data pipelines — manage end-to-end processing of aerial and satellite imagery with reduced oversight on routine project deliverables.
  2. GIS and image analysis software — perform multi-layer spatial analyses and produce derivative data products for standard land cover mapping projects.
  3. Ancillary geospatial datasets — integrate elevation, census, and environmental data into remote sensing projects to enrich analytical outputs.
  4. Geospatial data repositories — maintain organized, version-controlled archives and associated documentation across multiple concurrent projects.
  5. Image compilation workflows — apply radiometric and geometric correction procedures to improve imagery quality and analytical utility.
  6. Project reports and presentations — prepare clear written reports and slide decks summarizing geospatial findings for internal stakeholders.
  7. Statistical analysis software — apply classification algorithms and accuracy assessment methods to evaluate remote sensing map outputs.
  8. Team communications — contribute technical input during project planning discussions, clearly conveying equipment and methodology requirements.
  9. Database management systems — design and query geospatial databases to store, retrieve, and manage large volumes of sensor-derived data.
  10. Cloud-based processing platforms — configure and run batch processing jobs on cloud infrastructure to handle moderate-scale imagery datasets.
Proficient
Senior / Expert IC
  1. Complex remote sensing datasets — design and execute advanced analytical workflows autonomously, deriving actionable insights across multispectral, hyperspectral, and LiDAR data types.
  2. Critical project decisions — apply expert judgment to select appropriate sensors, platforms, and analytical methodologies for non-routine environmental monitoring challenges.
  3. Multi-source geospatial integration — fuse satellite, airborne, and ground-based datasets seamlessly into unified spatial models for high-stakes deliverables.
  4. Advanced classification systems — develop and validate supervised and unsupervised machine learning models for land cover and change detection mapping.
  5. Geospatial data quality assurance — establish and enforce rigorous accuracy assessment protocols to ensure analytical integrity across the full project lifecycle.
  6. Technical reports and presentations — author peer-quality written analyses and deliver compelling presentations of geospatial results to diverse technical audiences.
  7. Systems analysis — evaluate the performance of remote sensing data collection systems against project objectives and recommend operational improvements.
  8. Expert system and analytical software — configure and customize scientific toolsets to solve complex geospatial problems without external assistance.
  9. Cross-disciplinary data synthesis — incorporate biology, physics, and engineering knowledge domains to interpret remote sensing signals in applied environmental contexts.
  10. Project methodology design — lead technical scoping discussions with colleagues to define data acquisition strategies, processing chains, and success criteria.
Advanced
Lead / Principal / Executive
  1. Organizational remote sensing strategy — set the technical direction and standards for large-scale geospatial programs across multiple projects and client portfolios.
  2. Innovation in analytical methods — pioneer the adoption of emerging sensor technologies and machine learning frameworks to advance the organization's remote sensing capabilities.
  3. Workforce development — mentor and evaluate junior scientists and technologists, designing learning strategies that build technical depth across the team.
  4. Enterprise geospatial infrastructure — lead the design and governance of cloud-based data management and processing architectures supporting organization-wide operations.
  5. Executive-level reporting — communicate complex remote sensing findings and strategic recommendations to senior leadership, government agencies, and external partners.
  6. Cross-sector partnerships — negotiate and manage collaborative agreements with satellite data providers, research institutions, and industry clients to expand mission scope.
  7. Systems evaluation at scale — assess the effectiveness of entire remote sensing programs against scientific and operational benchmarks, driving evidence-based program evolution.
  8. Research agenda leadership — define and champion applied research priorities that align remote sensing science with emerging societal and environmental challenges.
  9. Ethical and policy frameworks — establish organizational standards for data integrity, geospatial data sharing, and responsible use of sensitive imagery products.
  10. Operations analysis and resource planning — oversee budgeting, technology procurement, and staffing allocations to ensure sustained capability and mission readiness across the remote sensing enterprise.

AI-at-Work Competency Framework

Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.
Subscriber feature

Authoritative source data identified for 998 occupations

How a worker at each mastery level uses, directs, and evaluates AI tools in this occupation. Each statement cites its evidence inline; click a citation chip to verify the source.

Emerging
  1. AI-assisted data documentation — uses an LLM to draft metadata descriptions and organize geospatial dataset records, reducing manual formatting effort while learning standard remote sensing workflows Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Remote sensing terminology lookup — queries an AI assistant to clarify sensor specifications, band definitions, and GIS terminology encountered in technical manuals Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Developing
  1. Image preprocessing delegation — hands off routine tasks such as radiometric calibration steps and band-combination scripting to an AI assistant, then validates outputs against known reference targets Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  2. Statistical analysis scaffolding — directs an AI tool to generate initial statistical analysis code for multi-spectral datasets, reviewing and adjusting the logic before applying it to production imagery Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Report drafting acceleration — uses an LLM to produce first-draft technical summaries of analysis results, then edits for scientific accuracy and mission-specific context Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
Proficient
  1. Multi-source data integration — orchestrates an AI assistant to merge raster, vector, and tabular geospatial layers into a unified project schema, retaining scientific judgment on projection systems and resolution trade-offs Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Automated change-detection pipeline — directs AI-generated scripts for time-series change detection across satellite imagery archives, applying critical evaluation to flag anomalies the model misclassifies Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Geospatial query optimization — instructs an AI tool to refactor GIS processing workflows for computational efficiency, verifying that spatial accuracy and coordinate reference integrity are preserved Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab..
  4. AI-augmented literature synthesis — tasks an LLM with cross-referencing sensor performance literature and algorithm benchmarks, then applies domain expertise to interpret findings within the project's scientific objectives Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
Advanced
  1. End-to-end AI workflow governance — designs multi-step agentic pipelines that ingest raw satellite telemetry, perform automated classification, and generate deliverable outputs, while authoring the scientific validation criteria that govern each handoff Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab. WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Autonomous task boundary setting — evaluates which remote sensing analytical tasks exceed safe AI autonomy thresholds and re-routes those decisions to human expert review, calibrating trust based on empirical error rates in prior AI-assisted runs Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab. Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Cross-disciplinary AI integration — leads integration of AI-driven remote sensing outputs with climate, ecological, or infrastructure datasets, exercising expert judgment on uncertainty propagation and communicating limitations to non-specialist stakeholders WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Evidence pack
AEI usage
Task observations: 851
Augment share: 85.1%
Time saved: 94.9%
AI autonomy: 2.74
SAFI positioning
Top skill: Reading Comprehension
Score: 45.5 / 100
Quadrant: Q2_ai_augmented
precision: exact
WEF cluster
Data Science and Analysis
data_science_and_analysis
Sources:Anthropic Economic IndexAnthropic Economic Index — release_2026_03_24. Opens in new tab.WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab.Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab.

Pathsmith Durable Skills Framework

Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Subscriber feature

Ten durable-skill domains mapped to four proficiency/role levels for each occupation. Each statement is aligned to the Pathsmith taxonomy, derived from trusted grounding data and mapped to occupation-specific O*NET tasks and skills.

1Communication12 statements
Emerging
  1. Remote sensing report drafts — summarizes basic image analysis findings using standard geospatial terminology for internal team review Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Project goal discussion — participates in team meetings about equipment requirements and data collection methodologies by asking clarifying questions O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Data documentation — records geospatial dataset attributes and processing steps using provided templates to support project continuity O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Geospatial findings presentation — organizes and delivers structured reports of remote sensing project results to non-specialist stakeholders using visual aids Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technical writing — drafts clear metadata documentation and processing logs for satellite and aerial imagery datasets to ensure reproducibility O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Cross-functional listening — synthesizes colleague input during project scoping discussions to align sensor selection and data collection parameters with project goals Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Multi-audience presentation — delivers geospatial project briefings tailored to both technical scientists and policy-oriented clients, translating spectral analysis outputs into actionable insights Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Scientific writing — authors detailed methodology sections and results narratives for remote sensing project reports with precision sufficient for peer or client review Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Interdisciplinary communication — integrates GIS, physics, and engineering concepts into verbal explanations that bridge remote sensing outputs with stakeholder decision-making needs O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Publication-quality authorship — produces remote sensing research manuscripts and technical reports that establish methodology standards and advance organizational knowledge Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Executive communication — translates complex multi-source geospatial analyses into concise briefings that directly inform strategic decisions by senior leadership or external partners Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Community of practice facilitation — leads workshops or symposia where remote sensing findings, image processing pipelines, and sensor innovations are communicated across scientific and applied communities Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
2Leadership10 statements
Emerging
  1. Task ownership — takes responsibility for completing assigned image processing or GIS data integration subtasks within a larger remote sensing project without requiring continual supervision Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Peer support — shares knowledge of software tools such as image analysis platforms with junior colleagues during routine project work Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Project coordination — organizes and tracks geospatial data workflows, assigns processing steps across team members, and monitors progress toward deliverable milestones Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Initiative in methodology — proposes alternative sensor platforms or analytical approaches when standard methods are insufficient for project objectives Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Team guidance — leads a remote sensing project team through full data lifecycle from acquisition planning to final product delivery, setting clear expectations and resolving technical blockers Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stakeholder accountability — assumes responsibility for accuracy and quality of geospatial outputs delivered to clients or partner agencies, owning errors and driving corrective action Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Mentorship — coaches developing technologists in statistical analysis software and GIS workflows, providing structured feedback that accelerates their technical proficiency Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Program leadership — directs multi-project remote sensing programs, aligning sensor acquisition strategies, personnel development, and data standards across an organizational portfolio Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Organizational influence — champions adoption of emerging remote sensing technologies and platforms by building the business and scientific case for leadership investment Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Field leadership — leads interdisciplinary field campaigns involving aircraft, ground-based platforms, and satellite coordination, making high-stakes decisions under time and resource constraints Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
3Metacognition8 statements
Emerging
  1. Learning self-assessment — identifies personal knowledge gaps in geospatial software or remote sensing physics and seeks targeted resources to address them Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Processing reflection — reviews own image classification outputs against known reference data to evaluate where analytical reasoning succeeded or failed Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Workflow planning — consciously selects image analysis and statistical methods based on explicit evaluation of their suitability for specific sensor types and project goals Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Error monitoring — tracks recurring mistakes in GIS data integration or spectral analysis and adjusts personal processing strategies to reduce their frequency Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Analytical strategy evaluation — reflects on the effectiveness of chosen remote sensing methodologies after project completion and documents lessons learned to improve future workflows Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cognitive load management — structures complex multi-source data analysis tasks into deliberate phases to maintain accuracy and avoid oversight in large geospatial datasets Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Epistemological awareness — critically evaluates the assumptions embedded in remote sensing classification algorithms and actively monitors how those assumptions shape interpretations of land cover or environmental change Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Mentored reflection — guides junior scientists to develop their own metacognitive monitoring habits during image analysis projects, building a team culture of deliberate learning Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
4Critical Thinking10 statements
Emerging
  1. Data quality assessment — identifies obvious artifacts, cloud contamination, or geometric errors in satellite imagery before proceeding with analysis Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Assumption identification — recognizes when a standard image classification approach may not apply to an unfamiliar land cover type or sensor configuration Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Evidence evaluation — compares outputs from multiple statistical analysis methods to determine which best represents ground truth conditions in the study area Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Source integration critique — evaluates the accuracy, resolution, and temporal currency of supplementary geospatial data sources before integrating them into a remote sensing project O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Hypothesis testing — formulates testable hypotheses about spectral signatures or land use change patterns and designs analysis pipelines to evaluate them systematically Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Complex problem diagnosis — isolates the source of discrepancies between remote sensing-derived maps and field-validation data, distinguishing sensor error from algorithmic misclassification from true environmental variability Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Multi-source reasoning — synthesizes aircraft, satellite, and ground-based platform data with differing resolutions and acquisition dates into a coherent, logically justified analytical product Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Methodological judgment — evaluates the trade-offs between supervised and unsupervised classification approaches given available training data, computational resources, and required accuracy thresholds Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Framework critique — assesses the fundamental validity of remote sensing-based environmental monitoring programs, identifying systemic assumptions that limit scientific conclusions and recommending structural improvements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Novel problem solving — develops original analytical frameworks when existing remote sensing methodologies are insufficient to characterize newly emerging land cover dynamics or sensor data types Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
5Collaboration9 statements
Emerging
  1. Team participation — contributes assigned data processing tasks to a shared remote sensing project while communicating status and blockers to team members Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Perspective reception — incorporates feedback from GIS specialists, field scientists, or engineers when refining image processing parameters Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Cross-disciplinary coordination — collaborates with engineers on sensor calibration requirements and with geographers on spatial reference system standards to ensure data compatibility across project components Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Shared documentation — co-develops and maintains geospatial data libraries and associated metadata with team members to support project continuity and knowledge transfer O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Integrated project execution — partners with atmospheric scientists, land use planners, and IT specialists to deliver multi-layer remote sensing analyses that meet diverse stakeholder requirements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Conflict navigation — mediates technical disagreements within a project team about sensor selection or classification methodology by facilitating evidence-based discussion toward consensus Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Remote collaboration — coordinates distributed teams working across different geographic regions and time zones to align data acquisition schedules and processing pipelines for joint remote sensing campaigns Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Inter-agency partnership — builds and sustains collaborative relationships with government, academic, and private sector partners to enable data sharing and joint remote sensing research initiatives Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Collaborative innovation — co-designs novel multi-sensor data fusion workflows with interdisciplinary teams, integrating expertise in physics, mathematics, and geography to produce capabilities no single team member could develop alone Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
6Character9 statements
Emerging
  1. Data integrity — reports geospatial processing results accurately without omitting anomalies or inconvenient findings, even when outputs do not match project expectations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Professional accountability — acknowledges errors in image classification or coordinate referencing promptly and takes corrective steps without prompting Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Ethical data use — handles sensitive remote sensing data, such as imagery of critical infrastructure or private land, in accordance with applicable legal, organizational, and ethical standards Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Methodological transparency — documents all processing decisions, software versions, and parameter choices in project records so that analyses are reproducible and auditable Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Scientific integrity — resists pressure to overstate the accuracy or certainty of remote sensing-derived conclusions in client deliverables or public-facing products Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Professional consistency — maintains rigorous quality standards in geospatial data management and analysis regardless of project visibility or deadline pressure Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Inclusive professionalism — engages respectfully with team members, clients, and collaborators from diverse disciplinary and cultural backgrounds in all project interactions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Ethical leadership — establishes and enforces organizational norms for responsible remote sensing data use, including privacy considerations in high-resolution imagery and dual-use data concerns Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Trust building — cultivates a reputation for scientific honesty and methodological rigor that makes the organization a trusted data provider for government and research partners Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
7Creativity9 statements
Emerging
  1. Visualization experimentation — explores alternative color composites and image rendering techniques to highlight features not apparent in standard display configurations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Tool adaptation — applies existing GIS or statistical software functions in novel combinations to address an atypical data integration challenge Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Product innovation — designs new map products or geospatial data visualizations that communicate remote sensing findings more effectively to specific audiences Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Analytical improvisation — devises workaround processing strategies when standard atmospheric correction or geometric registration methods fail for unconventional sensor configurations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Applying
  1. Methodology invention — develops original image segmentation or spectral unmixing workflows tailored to the unique radiometric characteristics of a novel sensor or study environment Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Cross-domain synthesis — draws on principles from physics, mathematics, and ecology to construct creative multi-sensor analysis pipelines that address complex environmental monitoring challenges Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Presentation creativity — designs visually compelling and scientifically accurate geospatial products and interactive deliverables that expand stakeholder engagement with remote sensing data Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Paradigm development — conceives fundamentally new approaches to remote sensing data fusion or machine learning classification that are adopted across the broader scientific community Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Innovation leadership — fosters a culture of creative problem solving within a remote sensing team by actively rewarding experimental approaches and protecting time for exploratory analysis Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
8Growth Mindset9 statements
Emerging
  1. Technology openness — engages with unfamiliar image analysis software or new sensor data formats as a learning opportunity rather than an obstacle Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Feedback acceptance — applies supervisor or peer corrections to GIS workflows or classification outputs without defensiveness, using them to improve future performance Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Skill expansion — independently pursues training in emerging remote sensing platforms, such as hyperspectral or LiDAR systems, to broaden analytical capabilities beyond current project requirements Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Setback reframing — treats failed image classification attempts or poor accuracy assessments as diagnostic data that improves methodological understanding Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Continuous learning integration — systematically incorporates advances in machine learning, cloud computing, and sensor technology into ongoing remote sensing workflows as they become available Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Challenge seeking — volunteers for remote sensing projects that require mastery of unfamiliar data types or geographic contexts, using them to accelerate professional development Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Effort investment — dedicates sustained effort to mastering complex statistical analysis methods or radiometric calibration procedures that yield long-term analytical capability gains Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Exceeding
  1. Learning culture creation — builds team norms where continuous skill development in remote sensing science and technology is expected, supported, and celebrated Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Field-wide learning — tracks and synthesizes developments across remote sensing literature, conferences, and government programs to ensure the organization's methods remain at the scientific frontier Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
9Mindfulness9 statements
Emerging
  1. Attention management — maintains focused attention during repetitive image quality inspection tasks to avoid overlooking subtle data artifacts or georeferencing errors Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Emotional awareness — recognizes frustration during difficult data processing problems and applies brief self-regulation strategies before making consequential analytical decisions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Intentional processing — approaches each stage of a geospatial analysis pipeline deliberately, verifying assumptions and intermediate outputs rather than proceeding on autopilot Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Stress regulation — manages pressure during high-stakes data delivery deadlines by using structured prioritization techniques to maintain analytical accuracy Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Present-moment accuracy — sustains precise attention during extended multi-layer GIS data integration sessions, catching inconsistencies that emerge only through careful, unhurried inspection Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Responsive communication — listens fully to stakeholder concerns about remote sensing product accuracy before formulating responses, avoiding premature defensiveness or dismissal Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  3. Context attunement — adjusts cognitive focus and analytical rigor based on awareness of project phase, recognizing when exploratory thinking versus meticulous verification is most needed Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Team mindfulness modeling — demonstrates and teaches attentional discipline practices to junior remote sensing scientists, reducing team-wide errors in data interpretation and documentation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Organizational intentionality — brings deliberate awareness to decisions about sensor procurement, data standards, and team capacity, ensuring choices reflect long-term strategic priorities rather than reactive pressures Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
10Fortitude9 statements
Emerging
  1. Persistence through complexity — continues working through difficult image classification problems or coordinate system errors without abandoning tasks prematurely Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Uncertainty tolerance — proceeds with geospatial analysis in the face of incomplete ancillary data or ambiguous sensor specifications, making reasoned assumptions while documenting limitations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Developing
  1. Deadline resilience — maintains analytical quality and professional composure when processing large satellite datasets under compressed project timelines Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Technical adversity response — recovers productively from significant data loss, sensor failure, or software errors by diagnosing the problem and identifying an alternative path forward Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Sustained effort — persists through multi-month remote sensing campaigns requiring consistent data processing, quality control, and documentation effort without loss of rigor or motivation Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  2. Ambiguity navigation — operates effectively in remote sensing projects where environmental conditions, data availability, or client requirements shift mid-project, adapting methodology without losing scientific integrity Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
  3. Courageous communication — reports inconvenient findings, such as lower-than-specified classification accuracy, to project stakeholders honestly rather than minimizing them to avoid conflict Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Organizational resilience — leads a remote sensing team through major disruptions such as satellite downtime, funding reductions, or data security incidents, maintaining productivity and team cohesion Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Long-horizon perseverance — sustains commitment to multi-year remote sensing research programs through periods of negative results, peer criticism, or funding uncertainty, maintaining scientific rigor and team morale throughout Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab. O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
Sources:Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.O*NET v30.2O*NET Resource Center — Occupational Information Network, v30.2 (Sept 2025). Opens in new tab.
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Source anchors that ground each statement

Related titles
All Source Intelligence Analyst · Commercial Drone Operator · Commercial Drone Pilot · Drone Operator · Drone Pilot · Geospatial Image Analyst · Geospatial Intelligence Analyst · Image Scientist · Imagery Remote Sensing Scientist · LIDAR Analyst (Light Detection and Ranging Analyst) · LIDAR Scientist (Light Detection and Ranging Scientist) · MASINT Analyst (Measurement and Signatures Intelligence Analyst)
RAPIDS apprenticeships
—
O*NET skills
Reading ComprehensionCritical ThinkingActive ListeningWritingSpeakingScienceMathematicsComplex Problem SolvingJudgment and Decision MakingSystems AnalysisSystems EvaluationActive LearningMonitoringOperations AnalysisLearning StrategiesCoordinationInstructing
Knowledge domains
GeographyMathematicsComputers and ElectronicsEngineering and TechnologyEnglish LanguagePhysicsDesignAdministration and ManagementCustomer and Personal ServiceBiology
Abilities
Deductive ReasoningInductive ReasoningProblem SensitivityNear VisionWritten ComprehensionOral ComprehensionWritten ExpressionOral ExpressionInformation OrderingMathematical Reasoning
Work styles
Attention to DetailInnovationIntellectual CuriosityDependabilityAchievement OrientationIntegrity
Technology
Graphics or photo imaging softwareCharting softwareAnalytical or scientific softwareProject management softwareData base management system softwareData base user interface and query softwareStorage networking softwareCloud-based management softwareExpert system softwareApplication server software
Tasks · seed anchors for statements
  1. Manage or analyze data obtained from remote sensing systems to obtain meaningful results.
  2. Analyze data acquired from aircraft, satellites, or ground-based platforms, using statistical analysis software, image analysis software, or Geographic Information Systems (GIS).
  3. Integrate other geospatial data sources into projects.
  4. Organize and maintain geospatial data and associated documentation.
  5. Compile and format image data to increase its usefulness.
  6. Prepare or deliver reports or presentations of geospatial project information.
  7. Discuss project goals, equipment requirements, or methodologies with colleagues or team members.
  8. Process aerial or satellite imagery to create products such as land cover maps.
CIP education codes
30.180130.320140.9999

Sources: O*NET v30.2 (CC BY 4.0), SkillsCrosswalk.com, LER.me, Anthropic Economic Index, SAFI (Jadhav & Danve, 2026), WEF Skills Taxonomy 2021, Pathsmith Durable Skills Framework. © 2026 EBSCOed.