This project explores whether hyperspectral observations from NASA’s PACE Ocean Color Instrument (OCI) can improve the characterization of mangrove ecosystems, particularly in highly disturbed coastal regions. Using the Niger Delta as a case study, we assess whether hyperspectral data provides additional information beyond traditional multispectral approaches for distinguishing mangroves and identifying potential stress signals.
| Name | Role |
|---|---|
| Rose Coggins | Project Lead |
| Janelle Levine | Member |
| Michelle Fasona | Member |
| Shulhan | member |
- Initial idea: "Comparative analysis showing what hyperspectral PACE data can add to mangrove species or stress discrimination, with a short methods write-up. Can PACE improve mangrove mapping, helping to create future assessments for blue carbon storage."
- Ideation jam board: N/A
- Ideation Presentation
- Slack channel: proj-blue-monday
- Project google drive
- Final presentation
- Evaluate whether hyperspectral PACE OCI data can spectrally distinguish mangroves from other coastal vegetation
- Explore mangrove spectral characteristics relevant to stress and disturbance
- Assess temporal changes in mangrove signals using time series analysis
- Use oil spill events as a real-world test case for episodic environmental stress
- Establish feasibility for future applications in mangrove monitoring and blue carbon assessment
flowchart TD
C{What can PACE improve on mangrove mapping?}
C -->D[Spectral Resolution]
D-->G[What spectral wavelength works best in mapping mangrove?]
D-->K[What wavelength combination works best?]
C -->E[Temporal Resolution]
E-->H[Daily]
E-->I[8 Day]
E-->J[Monthly]
C --->F[How can PACE study the ecosystem surrounding the mangroves?]
F-->L[Ocean]
F-->M[Oil spill]