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Differentiating phytoplankton taxa in lakes using hyperspectral in situ reflectance and imaging microscopy

Date

Date

Date
2025
Journal Article
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Maire, L., Gege, P., Damm-Reiser, A., & Odermatt, D. (2025). Differentiating phytoplankton taxa in lakes using hyperspectral in situ reflectance and imaging microscopy. Science of the Total Environment, 1003, 180718. https://doi.org/10.1016/j.scitotenv.2025.180718

Abstract

Abstract

Abstract

Phytoplankton play a central role in aquatic ecosystems, influencing biogeochemical cycles, food web dynamics, and overall water quality. Monitoring their composition is essential for assessing water ecosystem health and detecting environmental changes. Chlorophyll-a concentration is widely used as a proxy for phytoplankton abundance in inland waters. Together with colored dissolved organic matter and total suspended matter, these parameters can be retrieved from remote sensing reflectance data. However, identifying the detailed taxon

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Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
1003

Page range/Item number

Page range/Item number

Page range/Item number
180718

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

Bio-optical modeling, Hyperspectral data, Inland waters, Phytoplankton taxonomic groups, Radiative transfer modeling, Remote sensing reflectance

Language

Language

Language
English

Publication date

Publication date

Publication date
2025-11-01

Date available

Date available

Date available
2025-12-09

Publisher

Publisher

Publisher
Elsevier

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ISSN or e-ISSN
0048-9697

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OA Status

OA Status
Hybrid

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Maire, L., Gege, P., Damm-Reiser, A., & Odermatt, D. (2025). Differentiating phytoplankton taxa in lakes using hyperspectral in situ reflectance and imaging microscopy. Science of the Total Environment, 1003, 180718. https://doi.org/10.1016/j.scitotenv.2025.180718

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