Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-1183-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hyperspectral reflectance spectra of floating matters derived from Hyperspectral Imager for the Coastal Ocean (HICO) observations
College of Marine Science, University of South Florida, St. Petersburg, Florida 33701, USA
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Total article views: 3,058 (including HTML, PDF, and XML)
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Cited
19 citations as recorded by crossref.
- Remote Sensing of Ulva Prolifera Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects X. Pan et al. https://doi.org/10.1109/MGRS.2024.3364678
- Bio-optical properties of the cyanobacterium Nodularia spumigena S. Garaba et al. https://doi.org/10.5194/essd-15-4163-2023
- Detecting harmful algal blooms from reconstructed hyperspectral satellite data J. Dilipkumar et al. https://doi.org/10.1080/01431161.2025.2589529
- Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood difference X. Zhu et al. https://doi.org/10.1364/OE.497219
- Mapping ocean surface algal blooms with SWIR-derived satellite remote sensing reflectance J. Wei & M. Wang https://doi.org/10.1016/j.jag.2024.103921
- Trichodesmium Around Australia: A View From Space L. Qi et al. https://doi.org/10.1029/2023GL104092
- Phytoplankton composition from sPACE: Requirements, opportunities, and challenges I. Cetinić et al. https://doi.org/10.1016/j.rse.2023.113964
- Denoising VIIRS and Sentinel-2 MSI ocean color imagery for improved floating algae monitoring using noise-simulation-aided deep learning B. Huang et al. https://doi.org/10.1016/j.isprsjprs.2025.10.019
- Normalized Dynamic Fluorescence Height: An Alternative Algorithm for Chlorophyll a Estimation in Algae-Dominated Waters Using Hyperspectral Remote Sensing Reflectance from In Situ and Spaceborne Imagers D. Zhao et al. https://doi.org/10.3390/rs18142332
- Optical identification of marine floating debris from Sentinel-2 MSI imagery using radiation signal difference X. Zhu et al. https://doi.org/10.1364/OL.554994
- Application of Optical Remote Sensing in Harmful Algal Blooms in Lakes: A Review S. Wang & B. Qin https://doi.org/10.3390/rs17081381
- A straightforward approach for the rapid detection of red Noctiluca scintillans blooms from satellite imagery Z. Yang et al. https://doi.org/10.1016/j.marpolbul.2024.116377
- DVR: Towards Accurate Hyperspectral Image Classifier via Discrete Vector Representation J. Li et al. https://doi.org/10.3390/rs17030351
- MODIS-derived green Noctiluca blooms in the upper Gulf of Thailand: Algorithm development and seasonal variation mapping J. Luang-on et al. https://doi.org/10.3389/fmars.2023.1031901
- Estimating soil and grapevine water status using ground based hyperspectral imaging under diffused lighting conditions: Addressing the effect of lighting variability in vineyards C. Kang et al. https://doi.org/10.1016/j.compag.2023.108175
- Global satellite water classification data products over oceanic, coastal, and inland waters J. Wei et al. https://doi.org/10.1016/j.rse.2022.113233
- Remote detection of marine debris using Sentinel-2 imagery: A cautious note on spectral interpretations C. Hu https://doi.org/10.1016/j.marpolbul.2022.114082
- International Space Station External Multi-payload Operational Mission Planning Y. SHAN et al. https://doi.org/10.11728/cjss2024.02.2023-0047
- Estimation of Macroalgal Distribution in the Coastal Area of Dokdo Using Hyperspectral Imagery from a Manned Aircraft Y. Jeong et al. https://doi.org/10.7780/kjrs.2025.41.3.2
19 citations as recorded by crossref.
- Remote Sensing of Ulva Prolifera Green Tide in the Yellow Sea Using Multisource Satellite Data: Progress and prospects X. Pan et al. https://doi.org/10.1109/MGRS.2024.3364678
- Bio-optical properties of the cyanobacterium Nodularia spumigena S. Garaba et al. https://doi.org/10.5194/essd-15-4163-2023
- Detecting harmful algal blooms from reconstructed hyperspectral satellite data J. Dilipkumar et al. https://doi.org/10.1080/01431161.2025.2589529
- Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood difference X. Zhu et al. https://doi.org/10.1364/OE.497219
- Mapping ocean surface algal blooms with SWIR-derived satellite remote sensing reflectance J. Wei & M. Wang https://doi.org/10.1016/j.jag.2024.103921
- Trichodesmium Around Australia: A View From Space L. Qi et al. https://doi.org/10.1029/2023GL104092
- Phytoplankton composition from sPACE: Requirements, opportunities, and challenges I. Cetinić et al. https://doi.org/10.1016/j.rse.2023.113964
- Denoising VIIRS and Sentinel-2 MSI ocean color imagery for improved floating algae monitoring using noise-simulation-aided deep learning B. Huang et al. https://doi.org/10.1016/j.isprsjprs.2025.10.019
- Normalized Dynamic Fluorescence Height: An Alternative Algorithm for Chlorophyll a Estimation in Algae-Dominated Waters Using Hyperspectral Remote Sensing Reflectance from In Situ and Spaceborne Imagers D. Zhao et al. https://doi.org/10.3390/rs18142332
- Optical identification of marine floating debris from Sentinel-2 MSI imagery using radiation signal difference X. Zhu et al. https://doi.org/10.1364/OL.554994
- Application of Optical Remote Sensing in Harmful Algal Blooms in Lakes: A Review S. Wang & B. Qin https://doi.org/10.3390/rs17081381
- A straightforward approach for the rapid detection of red Noctiluca scintillans blooms from satellite imagery Z. Yang et al. https://doi.org/10.1016/j.marpolbul.2024.116377
- DVR: Towards Accurate Hyperspectral Image Classifier via Discrete Vector Representation J. Li et al. https://doi.org/10.3390/rs17030351
- MODIS-derived green Noctiluca blooms in the upper Gulf of Thailand: Algorithm development and seasonal variation mapping J. Luang-on et al. https://doi.org/10.3389/fmars.2023.1031901
- Estimating soil and grapevine water status using ground based hyperspectral imaging under diffused lighting conditions: Addressing the effect of lighting variability in vineyards C. Kang et al. https://doi.org/10.1016/j.compag.2023.108175
- Global satellite water classification data products over oceanic, coastal, and inland waters J. Wei et al. https://doi.org/10.1016/j.rse.2022.113233
- Remote detection of marine debris using Sentinel-2 imagery: A cautious note on spectral interpretations C. Hu https://doi.org/10.1016/j.marpolbul.2022.114082
- International Space Station External Multi-payload Operational Mission Planning Y. SHAN et al. https://doi.org/10.11728/cjss2024.02.2023-0047
- Estimation of Macroalgal Distribution in the Coastal Area of Dokdo Using Hyperspectral Imagery from a Manned Aircraft Y. Jeong et al. https://doi.org/10.7780/kjrs.2025.41.3.2
Saved (final revised paper)
Latest update: 24 Jul 2026
Short summary
Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) between 2010–2014, hyperspectral reflectance of various floating matters in global oceans and lakes is derived for the spectral range of 400–800 nm. Such reflectance spectra are expected to provide spectral endmembers to differentiate and quantify the floating matters from existing multi-band satellite sensors and future hyperspectral satellite missions such as NASA’s PACE, SBG, and GLIMR missions.
Using data collected by the Hyperspectral Imager for the Coastal Ocean (HICO) between 2010–2014,...
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