Spectral variability in particulate light backscattering in the sea: resolving fine-scale optical features and their biogeochemical significance

Accurate characterization of light backscattering in natural waters is critical for interpreting remote sensing reflectance and retrieving marine biogeochemical properties. While light absorption has been extensively measured, resolving fine-scale spectral variability in particulate light backscattering has remained challenging due to instrumental limitations. Here, we present hyperspectral backscattering measurements from the newly developed <i>HyFi-bb</i> instrument during field campaigns in the Baltic Sea and German Bight. The high spectral resolution (∼2 nm, 350-850 nm) reveals distinct bio-optical features, including pigment-specific signatures and anomalous dispersion near the pigment absorption bands, which are not resolved in multispectral measurements. Comparisons across regions show that backscattering ratios are higher in the minerogenic particle-dominated German Bight than in phytoplankton-rich Baltic waters, with spectral slopes of the backscattering ratios reflecting underlying particle composition. Contributions from particles <0.2 µm were found to be minor, suggesting their limited role in total backscattering in coastal waters. Our results demonstrate that hyperspectral backscattering provides new insights into the biogeochemical drivers of optical variability.

Authors

Institutions

Publication Details

Journal
Optics Express
Published
2026-01-14
DOI
https://doi.org/10.1364/oe.579542
Citations
1
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
28.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spectral variability in particulate light backscattering in the sea: resolving fine-scale optical features and their biogeochemical significance

Rüdiger Röttgers, Michael Novak
1 citations
Optics Express
Marine and coastal ecosystems
28.32
article

Spectral variability in particulate light backscattering in the sea: resolving fine-scale optical features and their biogeochemical significance

Rüdiger Röttgers, Michael Novak
article en
1 citations

Abstract

Accurate characterization of light backscattering in natural waters is critical for interpreting remote sensing reflectance and retrieving marine biogeochemical properties. While light absorption has been extensively measured, resolving fine-scale spectral variability in particulate light backscattering has remained challenging due to instrumental limitations. Here, we present hyperspectral backscattering measurements from the newly developed <i>HyFi-bb</i> instrument during field campaigns in the Baltic Sea and German Bight. The high spectral resolution (∼2 nm, 350-850 nm) reveals distinct bio-optical features, including pigment-specific signatures and anomalous dispersion near the pigment absorption bands, which are not resolved in multispectral measurements. Comparisons across regions show that backscattering ratios are higher in the minerogenic particle-dominated German Bight than in phytoplankton-rich Baltic waters, with spectral slopes of the backscattering ratios reflecting underlying particle composition. Contributions from particles <0.2 µm were found to be minor, suggesting their limited role in total backscattering in coastal waters. Our results demonstrate that hyperspectral backscattering provides new insights into the biogeochemical drivers of optical variability.

Optics ExpressVol. 34(3)
Helmholtz-Zentrum Hereon (DE)
Life below water
Openalex Percentile: Top 2%
Marine and coastal ecosystems
28.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.