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  1. NTNU SmallSat Lab For Students Past Projects
  2. Project and master assignments 2022
  3. Ocean Color Data Analysis

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Ocean Color Data Analysis

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  • Project and Master Subjects 2025-2026
  • Past Projects
    • Project and Master Subjects 2024-2025
    • Project and Master Subjects 2023-2024
    • Project and master assignments 2022
      • Ocean Color Data Analysis
      • Software Development for Optical CubeSat Payload
      • Ensemble Biomass Estimation
      • Topics on Hyperspectral Image Encoding
      • Atmospheric Correction of HYPSO-1
      • Remote sensing data fusion for algae detection
      • HYPSO hyperspectral satellite data fusion with in-situ sensors
      • HYPSO-1 data georectification using direct and indirect methods
      • Generation and calibration of HYPSO-1 data products
      • Sentinel satellite multispectral data to aid HYPSO-1 imaging
      • Verification and validation of HYPSO-2 optical payload
      • HYPSO-2: Designing a Software-defined-radio (SDR) application experiment for communication between on-ground sensor systems
      • HYPSO-2: Designing experiment for channel characterization using the Software-defined-radio (SDR) payload in HYPSO-2
      • HYPSO - Space environment effects on hyperspectral imager: performing thermal experiments and modelling
      • Software Development for Optical CubeSat Payload
      • Re-design and re-configuration for hardware-software test-bench for HYPSO-1 and HYPSO-2 (FlatSat)
      • Automation of operations for the HYPSO-1 satellite
      • HYPSO - Georeferencing, operations - Incorporating ADCS telemetry into the OPU
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Ocean Color Data Analysis

The HYPSO-1 mission is collecting hyperspectral data across the world. We want to develop a toolbox building on existing frameworks to process the collected data efficiently. This work preferably builds on FOSS projects such as QGIS[1] and SNAP[2,3]. Thus a familiarity with or a desire to learn more about python and good programming practices can be helpful.

This research includes determining data analysis procedures that can be useful to oceanographers. During the project thesis, the student should familiarize oneself with hyperspectral data and related meta-data needed for processing. Furthermore, the student should learn more about the data collection required to calibrate and characterize hyperspectral image sensors from space. As a starting point, the IOCCG reports are recommended as a starting point[4].

For more information or a short discussion, contact sivert.bakken@ntnu.no

  1. https://www.qgis.org/en/site/
  2. https://step.esa.int/main/download/snap-download/
  3. https://towardsdatascience.com/getting-started-with-snap-toolbox-in-python-89e33594fa04
  4. https://ioccg.org/what-we-do/ioccg-publications/ioccg-reports/

 

 

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