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Earth Observation & Space Data skills assessment

Earth observation teams turn satellite data into useful information. This scorecard covers image processing, analytics, products and customer applications.

  • 10 skills to score
  • 1–10 scale on every skill
  • 5 starting levels

The 10 Earth Observation & Space Data skills you can score

These are the default Earth Observation & Space Data skills in SkillScorer. Each one is scored from 1 to 10 for every engineer, and you can edit, remove or add skills at any time.

  1. Satellite Data Sources and Sensors

    Understands optical, radar and other sensors and chooses the right data source for each question.

  2. Image Processing and Calibration

    Corrects and calibrates imagery so data from different times and sensors can be compared reliably.

  3. Analytics, Machine Learning and Change Detection

    Applies analytics and machine learning to extract features and detect change from imagery.

  4. GIS Integration and Product Delivery

    Delivers imagery-based products in GIS-ready formats that customers can use straight away.

  5. Application Knowledge (Agriculture, Environment, Defence)

    Understands how imagery answers practical questions in agriculture, environment and security.

  6. Data Quality, Validation and Accuracy Assessment

    Validates outputs against ground truth and reports accuracy honestly.

  7. Cloud Processing and Data Pipelines

    Builds cloud pipelines that process large volumes of imagery reliably and cost-effectively.

  8. Customer Communication and Requirements Capture

    Turns customers' questions into clear data requirements and explains results without jargon.

  9. Data Licensing and Ethics

    Respects data licences, privacy and ethical limits on how imagery may be used.

  10. Documentation and Reproducibility

    Documents methods well enough that another analyst can reproduce the results.

Levels included with Earth Observation & Space Data

Earth Observation & Space Data starts with 5 levels, which SkillScorer calls “Seniority Level” for space & satellite technology, so engineers can be grouped and compared fairly. Rename, reorder or replace them at any time.

  • Analyst
  • Data Scientist
  • Senior Analyst
  • Product Lead
  • Head of Data

How Earth Observation & Space Data works in SkillScorer

Score

Each engineer in a team is scored on the Earth Observation & Space Data skills in the Skills Matrix: tap a cell, type a score, and it saves itself.

Compare

Rank engineers, compare two side by side, or compare your teams against each other to see exactly where the strengths and gaps are.

Track

Scores are kept year after year, so you can see who is improving and which Earth Observation & Space Data skills need attention. Reports also follow each team lead's team.

Earth Observation & Space Data scorecard: common questions

What skills does the Earth Observation & Space Data scorecard include?

SkillScorer's Earth Observation & Space Data scorecard covers 10 skills: Satellite Data Sources and Sensors, Image Processing and Calibration, Analytics, Machine Learning and Change Detection, GIS Integration and Product Delivery, Application Knowledge (Agriculture, Environment, Defence), Data Quality, Validation and Accuracy Assessment, Cloud Processing and Data Pipelines, Customer Communication and Requirements Capture, Data Licensing and Ethics and Documentation and Reproducibility. Each one comes with a written description of what it measures, and you can edit, rename, remove or add skills to suit your organisation.

How are engineers scored in Earth Observation & Space Data?

Every engineer is scored from 1 to 10 on each skill (1 = Poor, 5 = Average, 10 = Elite), one team and year at a time. Scores autosave in the Skills Matrix, and the 18 built-in reports turn them into rankings, radar charts, skill gaps and year-on-year trends.

Which levels come with Earth Observation & Space Data?

Earth Observation & Space Data starts with these levels (called “Seniority Level” in the app): Analyst, Data Scientist, Senior Analyst, Product Lead and Head of Data. They are just a starting point, so you can rename, reorder or replace them.

Can I change the Earth Observation & Space Data skills and wording?

Yes. The skills, levels and labels are all editable per organisation. In space & satellite technology the app talks about engineers, teams and team leads, and you can change any of those words too.

Score Earth Observation & Space Data with SkillScorer

Book a demo and we'll set up Space & Satellite Technology and Earth Observation & Space Data with the skills, levels and wording ready to go.

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