SISTER Aquatic Pigments Product Generation Executive (PGE)
Creators
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Townsend, Phillip
(Project member)1
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Gierach, Michelle
(Project member)2
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Hua, Hook
(Project member)2
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Shah, Sujen
(Project member)2
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Olson-Duvall, Winston
(Project member)2
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Chlus, Adam M.
(Project member)2
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Ade, Christiana
(Project member)2
- Kwoun, Oh-Ig (Project member)2
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Lucas, Marjorie J.
(Project member)2
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Malarout, Namrata
(Project member)2
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Moroni, David F.
(Project member)2
- Neely, Susan (Project member)2
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Pon, Jeffery K.
(Project member)2
- Yu, Dan (Project member)2
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1.
University of Wisconsin–Madison
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2.
Jet Propulsion Laboratory
Contributors
Description
The L2B Aquatic Pigments PGE generates estimates of chlorophyll A and phycocyanin concentrations (mg m-3) in aquatic ecosystems from corrected reflectance and fractional cover inputs using pre-trained mixture density networks (MDN). MDN weights were derived from Pahlevan et al. (2021) for chlorophyll and O'Shea et al. (2021) for phycocyanin. Prior to model application, reflectance datasets were resampled to model wavelengths. Pigment concentrations are only estimated for pixels with water fractional cover of greater than 0.9. Estimates are saved in cloud optimized GeoTIFF format. This repository holds an archive of the source code (sister*.tar.gz) with full Common Workflow Language (CWL) per the Open Geospatial Consortium (OGC) Best practice document (https://docs.ogc.org/bp/20-089r1.html): a docker container (ogc*.tar.gz) and a process file (*.cwl).
Files
Files
(7.3 GB)
| Name | Size | Download all |
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md5:6721f189f2c1bb7b3811302c1fcc4e01
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7.3 GB | Download |
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md5:8b34360214d58401fa2003cc5ba843be
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2.0 kB | Download |
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md5:73ba411992eee28bf7bf4026dde8e68d
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10.1 kB | Download |
Additional details
Related works
- Is part of
- Dataset: 10.3334/ORNLDAAC/2335 (DOI)
Software
- Repository URL
- https://github.com/sister-jpl/sister-aquatic-pigments-pge/releases/tag/2.0.0
- Programming language
- Python, Common Workflow Language, Dockerfile
References
- O'Shea, R. E., N. Pahlevan, B. Smith, M. Bresciani, T. Egerton, C. Giardino, C., L. Lin, T. Moore, A. Ruiz-Verdu, S. Ruberg, S.G.H. Simis, R. Stumpf, and D. Vaiciute. 2021. Advancing cyanobacteria biomass estimation from hyperspectral observations: Demonstrations with HICO and PRISMA imagery. Remote Sensing of Environment 266:112693. https://doi.org/10.1016/j.rse.2021.112693
- Pahlevan, N., B. Smith, C. Binding, D. Gurlin, L. Li, M. Bresciani, and C. Giardino. 2021. Hyperspectral retrievals of phytoplankton absorption and chlorophyll-a in inland and nearshore coastal waters. Remote Sensing of Environment 253:112200. https://doi.org/10.1016/j.rse.2020.112200
- Townsend, P., M.M. Gierach, H. Hua, S. Shah, W. Olson-Duvall, A.M. Chlus, C. Ade, O. Kwoun, M.J. Lucas, N. Malarout, D.F. Moroni, S. Neely, J.K. Pon, and D. Yu. 2024. SISTER: Experimental Workflows, Product Generation Environment, and Sample Data, V004. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/2335