Apply now
CourseAerospace, UAM, Drones & Space Applications open

Hyperspectral payloads course

Online course of 300 hours in hyperspectral payloads, structured in 6 modules covering imaging spectroscopy, spectrometer architecture, calibration and pre-processing, hyperspectral data analysis, thematic applications and a final project, with an assigned technical tutor.

Duration3 months
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute certificate
Enrol now View syllabus Ask an advisor
Virtual lab · try it before you enrol

Take the controls.

Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.

SIM · LIVE ●
Learning outcomes

What you will be able to do

01

Understand the fundamentals of imaging spectroscopy.

02

Analyse the architectures of space spectrometers.

03

Apply calibration and atmospheric correction to hyperspectral data.

04

Use spectral analysis and unmixing techniques.

05

Assess thematic applications of hyperspectral data.

06

Design the processing chain of a mission.

07

Produce the preliminary design of a hyperspectral payload.

Profile

Who it's for

  • Hyperspectral remote sensing specialists.
  • Payload engineers working on imaging spectrometers.
  • Geospatial data scientists.
  • Calibration engineers.
  • Remote sensing geologists.
  • Optical engineers moving into spectral instruments.
  • Engineering or science graduates aiming to enter Earth observation.
Standards & tools

What you'll work with

  • CCSDS 123.0-B (low-complexity lossless and near-lossless multispectral and hyperspectral image compression)
  • CEOS-ARD Surface Reflectance (analysis ready data specification for surface reflectance)
  • ISO 19159-1 (calibration and validation of remote sensing imagery sensors: optical sensors)
  • ISO 19115-2 (geographic information metadata for imagery and gridded data)
  • ECSS-Q-ST-70-01C (cleanliness and contamination control)
  • ISO 19130-1 (imagery sensor models for geopositioning)
  • ENVI
  • EnMAP-Box
  • Spectral Python (SPy)
  • MODTRAN
  • Zemax OpticStudio
Syllabus

6 modules

  1. 1.1Spectral signature of materials
  2. 1.2Differences between multispectral and hyperspectral
  3. 1.3VNIR and SWIR range
  4. 1.4Spectral resolution and sampling
  5. 1.5The hyperspectral cube
  6. 1.6Characteristic absorption features
  7. 1.7EnMAP, PRISMA and CHIME missions
  8. 1.8Main applications
  9. 1.9Spatial versus spectral resolution
  10. 1.10Workshop: analysis of spectral signatures of minerals
  1. 2.1Grating and prism spectrometers
  2. 2.2Offner and Dyson configurations
  3. 2.3Fourier transform spectrometers
  4. 2.4Linear variable filters
  5. 2.5HgCdTe detectors for SWIR
  6. 2.6Smile and keystone
  7. 2.7Spectral signal-to-noise ratio
  8. 2.8Data volume and compression
  9. 2.9On-board calibration with solar diffusers
  10. 2.10Practical exercise: SNR calculation for a SWIR spectrometer
  1. 3.1Spectral calibration
  2. 3.2Radiometric calibration
  3. 3.3Correction of bad bands
  4. 3.4Atmospheric correction with radiative transfer
  5. 3.5Surface reflectance
  6. 3.6Geometric correction
  7. 3.7Noise reduction
  8. 3.8Level 2 products
  9. 3.9Smile effect correction
  10. 3.10Lab: atmospheric correction with MODTRAN
  1. 4.1Dimensionality reduction: PCA and MNF
  2. 4.2Spectral angle mapper (SAM)
  3. 4.3Linear spectral unmixing
  4. 4.4Endmember extraction
  5. 4.5Specific spectral indices
  6. 4.6Supervised classification
  7. 4.7Deep learning for data cubes
  8. 4.8USGS and ECOSTRESS spectral libraries
  9. 4.9Classification quality indices
  10. 4.10Case study: spectral unmixing of a PRISMA scene
  1. 5.1Geology and mining
  2. 5.2Agriculture and vegetation stress
  3. 5.3Water quality
  4. 5.4Methane detection
  5. 5.5Biodiversity
  6. 5.6Soils and degradation
  7. 5.7Environmental monitoring
  8. 5.8Fusion with multispectral data
  9. 5.9Products and distribution platforms
  10. 5.10Case study: mineral mapping with EnMAP data
  1. 6.1Scientific requirements
  2. 6.2Spectral range selection
  3. 6.3Spectrometer design
  4. 6.4SNR budget
  5. 6.5Calibration plan
  6. 6.6Processing chain
  7. 6.7Analysis algorithms
  8. 6.8Validation with real data
  9. 6.9Report and presentation
  10. 6.10Final project: final review with the tutor
Methodology, software & labs

How you'll learn

100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within the intake, so the programme can be combined with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is ENVI, EnMAP-Box, Spectral Python (SPy), MODTRAN and Zemax OpticStudio, in free, academic or evaluation versions. Testing is studied through real procedures: spectral unmixing of a hyperspectral scene, atmospheric correction with radiative transfer models and design of an Offner-type spectrometer. Assessment is continuous by module, plus the final integrating project.

Standards covered: CCSDS 123.0-B, CEOS-ARD Surface Reflectance, ISO 19159-1, ISO 19115-2, ECSS-Q-ST-70-01C, ISO 19130-1.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of CCSDS 123.0-B, CEOS-ARD Surface Reflectance and ISO 19159-1 applied to real cases, not as a theoretical annex.
Industry software:ENVI, EnMAP-Box, Spectral Python (SPy), MODTRAN, Zemax OpticStudio, in free, academic or evaluation versions.
Final project:preliminary design of a hyperspectral payload, from scientific requirements and spectral range selection to spectrometer design, SNR budget, calibration plan, processing chain and validation with real data, reviewed by your tutor.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Scientific requirements
Define the scientific requirements and select the spectral range.
Spectrometer design
Design the spectrometer and build its SNR budget.
Calibration and processing
Define the calibration plan and the processing chain.
Analysis and validation
Apply the analysis algorithms and validate them with real data.
Final project
Deliver the report and presentation of the hyperspectral payload design for review by your tutor.
Career opportunities

Where this takes you

Hyperspectral remote sensing specialistPayload engineerGeospatial data scientistCalibration engineerRemote sensing geologistOptical engineer
Admissions & scholarships

Requirements

  • No prior qualification is required.
  • Internet connection and a computer capable of running the programme software.
  • English sufficient to read technical standards.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

Apply now Scholarships
FAQ

Frequently asked questions

The programme totals 300 hours over 3 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.

You work with ENVI, EnMAP-Box, Spectral Python (SPy), MODTRAN, Zemax OpticStudio, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.

A SEIUM Institute certificate, awarded on passing the continuous assessment and the final project. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.

Yes. Modules passed are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.

No prior qualification is required; you need an internet connection, a computer able to run the programme software and English sufficient to read technical standards.

Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.

Keep exploring

Related programmes

See all in Aerospace, UAM, Drones & Space
Course610 $

Cybersecurity course in avionics

Online course of 300 hours in avionics cybersecurity, structured in 6 modules covering threats to aeronautical systems, the DO-326A airworthiness security process, DO-356A risk assessment, technical…

300 hours · 3 monthsOnlineAerospace, UAM, Drones & Space
Course890 $

Course on noise regulations in airports

Online course of 300 hours in airport noise regulations. 6 modules covering acoustics applied to aviation, international and European regulations, Spanish noise regulations, noise modelling and…

3 monthsOnlineAerospace, UAM, Drones & Space
Course610 $

Data governance course in avionics

Online course of 300 hours in data governance in avionics, structured in 6 modules covering data in the aeronautical ecosystem, data governance and quality, aeronautical data…

300 hours · 3 monthsOnlineAerospace, UAM, Drones & Space
Hyperspectral payloads courseEnrol
Related programmes

More in Aerospace, UAM, Drones & Space

RF Space Communications CourseView programme →Compliance course in space missionsView programme →Avionics Software Validation CourseView programme →Digital twin course in satellitesView programme →Urban Vertiport Design CourseView programme →Robustness in orbital control courseView programme →

All Aerospace, UAM, Drones & Space programmes → · How to apply · Fees & financing · Scholarships

Scroll to Top
SEIUM – Institute of Advanced Engineering
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.