Document Type
Conference Proceeding
Publication Date
7-2024
Abstract
This study evaluates the potential application of hyperspectral Earth Surface Mineral Dust Source Investigation (EMIT) remote sensing for monitoring harmful algal blooms (HABs) and water quality in Clear Lake, California. The research focuses on correlating the chlorophyll-a (Chl-a) concentrations with EMIT spectral signatures, using waterbody-wide statistical analysis of Chl-a and EMIT data sampling at various lake locations. Results demonstrate distinct spectral signatures associated with varying Chl-a levels, highlighting the potential of hyperspectral imaging in differentiating algae levels and assessing water quality variables. It also indicates the EMIT’s utility in filling data gaps and offering high-resolution monitoring. This study underscores the need for further research in hyperspectral imaging for aquatic ecosystems, especially under challenging atmospheric conditions, enhancing our understanding of water quality dynamics.
Recommended Citation
W. Li, S. Fazli, S. Maharjan and H. El-Askary, "Deciphering Water Quality and Algal Dynamics in Clear Lake Through Hyperspectral Analysis Using Emit Data," IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, 2024, pp. 9302-9306, https://doi.org/10.1109/IGARSS53475.2024.10642226.
Peer Reviewed
1
Copyright
© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Included in
Atmospheric Sciences Commons, Environmental Indicators and Impact Assessment Commons, Environmental Monitoring Commons, Fresh Water Studies Commons, Water Resource Management Commons
Comments
This is a pre-copy-editing, author-produced PDF of an article accepted for publication in the proceedings of the IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium in 2024 following peer review. This article may not exactly replicate the final published version. The definitive publisher-authenticated version is available online at https://doi.org/10.1109/IGARSS53475.2024.10642226.