NSXNational Skills ExchangeSign in
Back to Framework

Remote Sensing Technicians

SOC 19-4099.03Job Zone 4 · Considerable Preparationv.26.05

Context coveredThis framework covers remote sensing technician practice in aerial, satellite, and ground-based geospatial data collection, processing, integration, and mapping project delivery environments across government, engineering, and environmental consulting sectors.

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. Geospatial data collection technologies — identify and distinguish under direct supervision across aerial photography, LiDAR, and satellite sensor platforms in a laboratory or field training environment.
  2. Remote sensing image files — retrieve and organize following established naming conventions and directory structures within a project data management system.
  3. Image processing software interfaces — navigate and execute basic display adjustments under guidance to optimize visual presentation of raw remotely sensed imagery.
  4. Data integrity checklists — apply to verify completeness and formatting accuracy of incoming remote sensing datasets before submission to senior technicians.
  5. Scanned image tiles — import and align using image processing software under supervision to support photo mosaic assembly tasks on assigned mapping projects.
  6. Technical project documentation — read and comprehend to extract sensor specifications, coordinate systems, and flight parameters relevant to assigned data collection tasks.
  7. Raw digital imagery — manipulate brightness, contrast, and band combinations using standard software routines under direction to prepare data for preliminary interpretation.
  8. Geospatial data integration workflows — follow step-by-step protocols to combine remotely sensed layers with GIS datasets in established project environments.
  9. Project meeting notes and stakeholder requirements — listen actively and summarize key technical needs under supervision when supporting interdisciplinary project planning sessions.
  10. Basic cartographic output — produce using map creation software following templates and specifications provided by senior remote sensing technicians or scientists.
Developing
Mid-level / Established
  1. Aerial and satellite imagery acquisition — coordinate and execute using LiDAR, multispectral, and thermal sensor platforms with reduced oversight on routine mapping assignments.
  2. Remote sensing image analysis system outputs — verify integrity and accuracy independently by applying quality assurance procedures and resolving common data anomalies.
  3. Remotely sensed data layers — integrate with GIS datasets routinely by selecting appropriate coordinate reference systems and resampling methods in analytical software environments.
  4. Image enhancement routines — select and apply within graphics and analytical software to optimize classification accuracy and visual interpretation for standard project deliverables.
  5. Photo mosaics of moderate geographic extents — build by merging scanned image datasets using image processing software with attention to seamline quality and radiometric consistency.
  6. Raw flight and sensor data — manipulate in-field or post-mission to correct for atmospheric effects and geometric distortions in support of client deliverable timelines.
  7. Mapping project requirements — contribute to planning discussions by presenting technical assessments of sensor suitability and data coverage to project teams and scientists.
  8. Interdisciplinary project stakeholders — consult with surveyors, cartographers, and engineers routinely to clarify data needs and resolve minor technical discrepancies on active projects.
  9. Analytical and scientific software tools — apply to perform quantitative analysis of remotely sensed indices such as NDVI or land surface temperature in environmental study contexts.
  10. Technical reports summarizing data acquisition and processing results — write clearly and accurately for review by senior scientists and project managers on multimonth deliverable cycles.
Proficient
Senior / Expert IC
  1. Complex geospatial data collection campaigns — plan and execute autonomously across multiple sensor modalities including SAR, hyperspectral, and thermal systems in diverse field and aerial environments.
  2. End-to-end data integrity validation pipelines — design and conduct across full remote sensing image analysis workflows, resolving non-routine errors in large-scale or time-sensitive projects.
  3. Multi-source geospatial data fusion — perform independently by integrating satellite, airborne, and ground-truth datasets using advanced analytical software to produce authoritative spatial products.
  4. Non-standard image processing challenges — diagnose and resolve by selecting and customizing processing routines within expert system and analytical software environments on high-complexity deliverables.
  5. Large-area photo mosaics spanning regional extents — construct and quality-control by managing radiometric normalization, feathering, and seamline optimization across high-volume image datasets.
  6. In-flight and ground-level raw data manipulation — execute with full autonomy to correct sensor artifacts and environmental interference, maintaining data fidelity under variable field conditions.
  7. Mapping project architectures — develop from scope through delivery by defining sensor selection, flight planning parameters, processing workflows, and output specifications for interdisciplinary teams.
  8. Remote sensing scientists, engineers, and external clients — consult with and advise proactively to align technical capabilities with project objectives, resolving scope and data quality conflicts.
  9. Systems analysis of geospatial technology stacks — perform to evaluate performance gaps, recommend software or hardware upgrades, and optimize data pipelines across organizational projects.
  10. Critical technical findings and methodology recommendations — communicate through written reports and oral presentations to scientific and non-technical audiences in regulatory or commercial project contexts.
Advanced
Lead / Principal / Executive
  1. Organizational remote sensing data acquisition strategy — set and govern by evaluating emerging satellite, UAV, and airborne sensor technologies against long-term programmatic and client portfolio needs.
  2. Enterprise-level geospatial data integrity and governance frameworks — establish and maintain to ensure consistent accuracy standards across all remotely sensed products delivered by the organization.
  3. Cross-disciplinary geospatial data integration standards — define and enforce to guide technicians and scientists in fusing remote sensing outputs with GIS, survey, and engineering datasets at scale.
  4. Senior scientists, agency partners, and executive clients — advise at the strategic level by translating complex remote sensing capabilities into actionable intelligence for high-stakes decision making.
  5. Organization-wide image processing and product delivery pipelines — architect by deploying scalable analytical software solutions and workflow automation that elevate team throughput and product quality.
  6. Advanced mapping project portfolios — lead from inception through delivery by directing resource allocation, managing cross-functional teams, and ensuring on-time, on-budget execution of multi-project programs.
  7. Emerging remote sensing methodologies — champion by conducting applied research, evaluating new tools, and institutionalizing best practices that advance organizational technical capabilities.
  8. Talent development programs for remote sensing technicians — design and mentor through structured competency pathways, peer review systems, and coaching that build junior-to-senior capability pipelines.
  9. Interagency and industry partnerships — cultivate and lead by representing the organization in technical working groups, standards bodies, and collaborative research initiatives at the national or international level.
  10. Complex problem solving frameworks for non-routine geospatial challenges — formulate and apply at the organizational level, directing teams in resolving systemic data quality, policy, or technology adoption barriers.

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 image adjustment — applies AI-powered software suggestions to select display parameters and processing routines for remotely sensed imagery, while manually verifying each output against raw sensor data WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  2. Data integrity prompting — submits image metadata and acquisition logs to an AI assistant to flag potential corruption or calibration anomalies before formal verification workflows begin.
Developing
  1. Automated anomaly detection — directs AI tools to scan large geospatial datasets for outliers or sensor artifacts, then applies critical thinking to confirm or reject each flagged finding before integration with other data layers Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  2. Image classification support — uses AI-generated land-cover classification drafts as a starting layer, manually reviewing boundary decisions and reclassifying ambiguous regions based on domain knowledge WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
  3. Multi-source data fusion — tasks an AI assistant with aligning coordinate reference systems and resolving resolution mismatches across aerial, satellite, and thermal datasets, retaining editorial control over the merged output WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Proficient
  1. Automated preprocessing pipeline oversight — designs and monitors AI-driven preprocessing workflows that correct atmospheric distortion and radiometric calibration at scale, intervening when outputs deviate from project specifications 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. Stakeholder communication drafting — delegates the preparation of technical summary reports from processed imagery outputs to an AI writing assistant, then edits for accuracy before consulting with engineers or cartographers Jadhav & Danve, 2026Skill Automation Feasibility Index — Jadhav & Danve, 2026 (arXiv:2604.06906). Opens in new tab..
  3. Critical evaluation of AI-generated classifications — benchmarks AI land-use or vegetation classifications against ground-truth samples, applying structured critical thinking to quantify accuracy and document systematic errors 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..
  4. Change-detection task delegation — directs an AI agent to perform temporal differencing across multi-date satellite image stacks, then validates detected changes against ancillary survey records and project requirements.
Advanced
  1. End-to-end AI workflow architecture — designs and governs automated remote sensing pipelines in which AI models handle image ingestion, preprocessing, classification, and anomaly reporting, while retaining human authority over validation criteria and final geospatial deliverables 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. AI model performance governance — establishes quantitative acceptance thresholds for AI-driven remote sensing models, audits drift in model accuracy over evolving sensor generations, and prescribes retraining protocols when thresholds are breached 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. Cross-discipline AI coordination — leads integrated project teams where AI outputs from remote sensing systems are handed off to scientists, surveyors, and engineers, defining the handoff standards, uncertainty metadata, and review checkpoints that ensure data integrity across disciplines WEF Skills TaxonomyWEF Skills Taxonomy 2021 — Building a Common Language for Skills at Work. Opens in new tab..
Evidence pack
SAFI positioning
Top skill: Critical Thinking
Score: 57.9 / 100
precision: category_estimate
WEF cluster
Data Science and Analysis
data_science_and_analysis
Sources: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.

1Communication9 statements
Emerging
  1. Project terminology — uses standard remote sensing vocabulary when describing image acquisition tasks to team members in routine briefings 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. Data status reporting — conveys basic integrity check results in written summaries submitted to supervising scientists or cartographers 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. Technical documentation — writes clear processing logs that record software parameters used during image adjustment and mosaic-building 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. Cross-disciplinary consultation — articulates project data requirements to surveyors, engineers, and cartographers during planning meetings with growing confidence 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. Geospatial findings presentation — translates integrated remote sensing outputs into structured verbal and visual briefings tailored to technical and non-technical stakeholders 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. Client needs communication — elicits project scope and accuracy requirements from customers through active-listening interviews, confirming alignment before data collection begins 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. Error communication — documents and communicates data anomalies, correction steps, and residual uncertainties in formal quality reports shared across project teams Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Multi-audience technical authorship — authors comprehensive remote sensing methodology reports that satisfy scientific rigor while remaining accessible to engineering and policy 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. Interdisciplinary translation — serves as primary communication liaison between remote sensing operations, GIS analysts, and client organizations, resolving specification conflicts through structured dialogue 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.
2Leadership8 statements
Emerging
  1. Task initiative — volunteers to lead discrete data collection segments during aerial or satellite acquisition missions without being directed Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Peer guidance — shares knowledge of image processing software settings with newer technicians during daily workflow operations Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Project coordination — coordinates scheduling of data acquisition flights or satellite tasking windows, managing competing priorities across small project teams 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. Quality ownership — takes responsibility for verifying data integrity across assigned image sets and escalates systemic issues to project leads proactively 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. Mapping project leadership — leads planning and development phases of geospatial mapping projects, assigning processing tasks and tracking deliverable 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 decision authority — makes independent judgment calls on image enhancement parameters and processing routines, owning outcomes without supervisory escalation 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. Program-level mentorship — develops training curricula for junior remote sensing technicians covering sensor physics, processing pipelines, and data integration best practices 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. Strategic acquisition planning — leads multi-stakeholder sessions to define sensor selection, coverage geometry, and data fusion strategies for large-scale or multi-year mapping programs 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. Skill gap awareness — identifies personal knowledge gaps in specific sensor technologies (e.g., LiDAR vs. thermal) and seeks targeted learning resources to address them Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Processing reflection — reviews completed image adjustment workflows to identify steps where errors were introduced and notes improvements for subsequent runs Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Learning strategy selection — deliberately practices unfamiliar image processing software routines through structured self-testing before applying them to production datasets 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. Workflow monitoring — tracks personal accuracy rates in data verification tasks and adjusts checking strategies when error patterns emerge 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. Cognitive load management — recognizes when simultaneous demands of data integration and real-time flight monitoring exceed reliable performance capacity and redistributes tasks accordingly Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Method evaluation — periodically reassesses which image classification and mosaic-building approaches yield optimal accuracy for specific sensor and terrain combinations, updating personal practice accordingly 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. Reflective practice modeling — facilitates team retrospectives on completed mapping projects, guiding technicians to examine their own analytical assumptions and improve future data processing decisions Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Adaptive expertise cultivation — designs personal learning plans that anticipate emerging sensor technologies and processing paradigms, maintaining mastery ahead of industry adoption curves 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.
4Critical Thinking9 statements
Emerging
  1. Data anomaly recognition — identifies obvious radiometric or geometric inconsistencies in raw remotely sensed imagery during initial quality screening 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 questioning — asks clarifying questions about project accuracy requirements before selecting image processing routines to avoid inappropriate method application 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. Evidence-based parameter selection — evaluates multiple image enhancement options against scene characteristics and project specifications, selecting approaches grounded in comparative 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. System integrity assessment — applies structured verification logic to detect data corruption or sensor calibration drift across multi-temporal image archives 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-source data reconciliation — critically evaluates discrepancies between remotely sensed data and ancillary geospatial datasets, determining root causes before integrating conflicting information 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. Processing chain auditing — systematically traces errors through image processing workflows, distinguishing sensor artifacts from atmospheric effects from software misconfigurations using evidence-based reasoning 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. Sensor suitability judgment — analyzes mission parameters, atmospheric conditions, and target characteristics to determine whether collected data meets defined accuracy thresholds before project delivery 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. Methodological innovation evaluation — critically assesses emerging remote sensing algorithms and fusion techniques against established baselines, generating evidence-based recommendations for organizational adoption 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. Systems-level failure analysis — traces cascading data quality failures across acquisition, preprocessing, and integration pipelines, identifying systemic rather than symptomatic corrective actions 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.
5Collaboration8 statements
Emerging
  1. Team data sharing — contributes processed image files and metadata to shared project repositories following team-established naming and formatting conventions 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. Interdisciplinary awareness — actively listens during consultations with surveyors and cartographers to understand how remote sensing outputs will be used downstream 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. Cross-functional coordination — collaborates with GIS analysts and engineers to align coordinate reference systems and data formats during multi-source geospatial integration tasks 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. Constructive feedback exchange — gives and receives specific technical feedback on image classification results within peer review processes, adjusting approaches based on colleague input Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Project team integration — functions as a reliable node in multi-disciplinary mapping teams, fulfilling data acquisition and processing commitments that enable downstream scientific and engineering work 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 — resolves technical disagreements with scientists or cartographers about data interpretation by referencing objective accuracy metrics and project specification documents 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. Collaborative workflow design — co-designs integrated data pipelines with remote sensing scientists, software developers, and end-user analysts, ensuring each stakeholder's requirements are embedded in processing architecture 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. Diverse expertise synthesis — orchestrates knowledge contributions from geography, engineering, and computing specialists to solve complex multi-sensor data fusion challenges that exceed any single discipline's capacity 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.
6Character8 statements
Emerging
  1. Data honesty — reports detected errors in remotely sensed image archives accurately and completely, without minimizing findings to avoid rework 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 conduct — follows organizational protocols for handling sensitive geospatial data, including access controls and classification markings Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Accountability in delivery — owns missed processing deadlines by communicating delays proactively and presenting recovery plans to project stakeholders without deflecting responsibility Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Ethical data use — respects privacy and security constraints governing aerial and satellite imagery collection over sensitive or populated areas, raising concerns when assignments appear to conflict with these 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.
Applying
  1. Scientific integrity — documents all image manipulation steps transparently in processing records so that results are fully reproducible and auditable by external reviewers 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. Consistent professionalism — maintains accuracy and thoroughness standards in data verification tasks even under tight delivery schedules or pressure from clients to expedite outputs 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. Ethical leadership in data governance — establishes team-level standards for responsible remote sensing data collection and use, modeling principled decision-making when legal or ethical ambiguities arise Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Integrity under scrutiny — defends data quality conclusions and processing decisions to external clients or regulatory bodies with transparent evidence, even when findings are inconvenient or contested 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.
7Creativity8 statements
Emerging
  1. Parameter experimentation — tests non-default image display and classification settings to discover whether alternative configurations improve interpretation of ambiguous land-cover features 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 data combination — proposes combining thermal and optical imagery layers for a specific mapping challenge after recognizing that single-sensor approaches are insufficient 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. Custom processing routine design — constructs tailored image processing sequences that address unique sensor-target combinations not covered by standard software templates 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. Visualization innovation — develops original image mosaic display strategies that communicate spatial patterns more effectively than conventional rendering approaches 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-sensor fusion creativity — designs inventive data integration frameworks that combine satellite, aerial, and LiDAR inputs to extract information no single source provides 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.
  2. Problem-specific workflow invention — creates novel pre-processing pipelines to extract usable data from imagery degraded by atmospheric interference, sensor malfunction, or incomplete coverage 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. Methodological pioneering — introduces novel remote sensing acquisition geometries or processing algorithms that expand the organization's analytical capabilities beyond established practice 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 creative synthesis — integrates concepts from signal processing, geography, and machine learning to develop original feature extraction methods that advance the state of practice in the field 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.
8Growth Mindset8 statements
Emerging
  1. Technology curiosity — actively explores newly released remote sensing software features and sensor specifications rather than defaulting exclusively to familiar tools 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. Feedback receptivity — incorporates corrections from quality review processes into subsequent image processing tasks without defensiveness Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Developing
  1. Skill stretch — takes on image processing assignments involving unfamiliar sensor types (e.g., SAR or hyperspectral) as deliberate learning opportunities rather than avoiding them 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-to-improvement conversion — systematically analyzes processing mistakes to extract transferable lessons that improve performance on future geospatial integration tasks 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. Continuous technical updating — maintains currency in evolving satellite platform capabilities and geospatial software releases by dedicating consistent effort to professional learning outside project demands 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 reframing — treats technically demanding mosaic-building or data reconciliation assignments as opportunities to develop mastery rather than burdens to minimize Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Exceeding
  1. Learning culture cultivation — creates psychological safety within project teams for admitting processing errors and experimenting with untested methods, modeling growth-oriented responses to setbacks Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Field evolution leadership — tracks emerging paradigms in remote sensing science and proactively retrains personal and team competencies to stay ahead of technological transitions in sensor and platform technology 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.
9Mindfulness8 statements
Emerging
  1. Attention calibration — recognizes when fatigue during extended data verification sessions degrades accuracy and applies brief refocusing strategies before continuing Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Situational awareness — maintains conscious awareness of data acquisition system status indicators during active remote sensing operations to catch anomalies in real time 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. Deliberate processing pace — resists pressure to rush image quality assessments by maintaining a disciplined, step-by-step verification approach regardless of deadline urgency 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 regulation under ambiguity — manages frustration when remotely sensed data is of insufficient quality for project requirements, sustaining analytical composure while evaluating remediation options Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
Applying
  1. Intentional decision-making — pauses before selecting image classification parameters on high-stakes mapping projects to consciously review evidence rather than defaulting to habitual choices 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. Monitoring attentiveness — sustains focused attention across multi-hour data acquisition missions or processing runs, catching system errors and sensor drift that emerge gradually over time 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. Presence modeling in high-pressure workflows — demonstrates calm, deliberate analysis during time-critical or high-consequence remote sensing operations (e.g., disaster response mapping), creating a stabilizing effect on the broader team Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Systemic attention design — structures team workflows and review checkpoints to institutionalize mindful verification practices, reducing error rates across the full data production pipeline 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.
10Fortitude8 statements
Emerging
  1. Persistence through data degradation — continues methodical troubleshooting when initial image correction attempts fail to resolve atmospheric or sensor artifacts rather than abandoning the effort Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Uncertainty tolerance — proceeds with data collection planning despite incomplete information about atmospheric conditions or satellite scheduling 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.
Developing
  1. Deadline resilience — sustains processing quality and thoroughness during high-volume mapping project phases that compress timelines and increase workload simultaneously Pathsmith Durable SkillsPathsmith Durable Skills Framework — America Succeeds + CompTIA. Opens in new tab.
  2. Technical setback recovery — rebuilds corrupted or incomplete geospatial datasets by systematically reacquiring or reconstructing data after hardware failures or transmission 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.
Applying
  1. Extended mission endurance — maintains analytical rigor and professional performance during multi-week field data collection campaigns involving irregular hours, difficult terrain, and equipment 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.
  2. Contested findings defense — upholds technically sound data quality assessments when challenged by clients or stakeholders who dispute findings, grounding responses in verifiable evidence under pressure 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. Crisis-context performance — delivers reliable remote sensing data products under emergency conditions (e.g., post-disaster damage assessment) where acquisition windows are narrow, data is degraded, and decisions are consequential 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. Organizational resilience building — designs redundant data collection protocols and backup processing workflows that preserve project continuity when primary systems fail or environmental conditions prevent planned acquisition 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.
Show O*NET source anchors53 anchors · skillscrosswalk.com

O*NET enrichment · skillscrosswalk.com

Suggest an O*NET correction

Source anchors that ground each statement

Related titles
Commercial Drone Operator · Commercial Drone Pilot · Commercial Drone Technician · Digital Cartographic Technician · Document Image Technician · Drone Operator · Drone Pilot · Drone Technician · Geospatial Extractor · Geospatial Technician (Geospatial Tech) · Image Scientist · Imagery Analyst
RAPIDS apprenticeships
—
O*NET skills
Critical ThinkingReading ComprehensionSpeakingMathematicsActive ListeningMonitoringSystems AnalysisJudgment and Decision MakingWritingComplex Problem SolvingCoordinationActive Learning
Knowledge domains
GeographyComputers and ElectronicsMathematicsCustomer and Personal ServiceEngineering and TechnologyProduction and ProcessingEnglish Language
Abilities
Deductive ReasoningInformation OrderingProblem SensitivityInductive ReasoningNear VisionOral ExpressionOral ComprehensionSpeech ClarityWritten ComprehensionWritten Expression
Work styles
Attention to DetailDependabilityIntellectual CuriosityIntegrityAdaptabilityAchievement Orientation
Technology
Graphics or photo imaging softwareCharting softwareAnalytical or scientific softwareProject management softwareWeb platform development softwareData base user interface and query softwareExpert system softwareMap creation softwareAviation ground support softwareComputer aided design CAD software
Tasks · seed anchors for statements
  1. Collect geospatial data, using technologies such as aerial photography, light and radio wave detection systems, digital satellites, or thermal energy systems.
  2. Verify integrity and accuracy of data contained in remote sensing image analysis systems.
  3. Integrate remotely sensed data with other geospatial data.
  4. Consult with remote sensing scientists, surveyors, cartographers, or engineers to determine project needs.
  5. Adjust remotely sensed images for optimum presentation by using software to select image displays, define image set categories, or choose processing routines.
  6. Manipulate raw data to enhance interpretation, either on the ground or during remote sensing flights.
  7. Merge scanned images or build photo mosaics of large areas, using image processing software.
  8. Participate in the planning or development of mapping projects.
CIP education codes
40.040140.100140.100241.000041.030341.039941.999943.010043.010443.040243.040645.0401

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.