Atmospheric Correction of HYPSO-1
- Project and Master Subjects 2025-2026
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Past Projects
- Project and Master Subjects 2024-2025
- Project and Master Subjects 2023-2024
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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
MENU
Atmospheric Correction of HYPSO-1 Data
The atmosphere is in the radiative path of the light detected by HYPSO-1 when viewing the ocean. We want to compensate for the effects of the atmosphere. The student should investigate various models to perform this task and determine which is suitable for processing onboard the satellite and on the ground.
Some useful information sources are [1] to get an overview and [2] to understand better the data used.
For more information or a short discussion, contact sivert.bakken@ntnu.no
- https://ioccg.org/wp-content/uploads/2015/10/ioccg-report-10.pdf
- https://www.frontiersin.org/articles/10.3389/fenvs.2021.649528/full