Influence of chlorophyll and colored dissolved organic matter (CDOM) on lake reflectance spectra: Implications for measuring lake properties by remote sensing

Kevin D. Menken, Patrick L. Brezonik, Marvin E. Bauer

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

Light reflected from lake surfaces can convey much information about water quality, especially algal abundance, humic content, turbidity and suspended solids. Light reflectance from lakes is complicated, and detailed spectra are needed for analysis of controlling factors. We obtained detailed reflectance spectra from the water surfaces of 15 lakes in east-central Minnesota and found patterns related to chlorophyll a (chl a), turbidity and humic matter (colored dissolved organic matter, CDOM). Increasing chl a and turbidity generally resulted in higher reflectance across the visible and near-infrared spectrum. Increasing CDOM led to low reflectance, especially below ~500 nm. Spectra of lakes with high chl a were distinguishable from those of lakes low in chl a, and lakes with low or high CDOM had readily distinguishable spectra. Several optical characteristics of lake water can be estimated from reflectance intensities measured over narrow wavelength bands. The ratio of reflectance at 700 nm to that at 670 nm was the best predictor of chl a over a wide range of conditions, including high turbidity and CDOM. Several relationships involving reflectance at 412, 443, 488, and 551 nm, the wavelengths used to calculate oceanic chl a from MODIS satellite data, also yielded a high R2. The ratio of reflectance at 670 nm to 571 nm provided the best estimates of humic color despite the low absorbance of CDOM at these wavelengths. Relationships involving reflectance for all 15 lakes in the range 400–500 nm, where CDOM absorbs light, had low r2 values; none was high enough for reliable estimates of lake color. For 10 lakes with low to medium chl a levels (≤10 mg m−3), regressions involving 412 and 443 nm yielded moderately good relationships. Airborne and satellite remote sensing thus might be used to identify lakes high in CDOM, and may provide reasonable estimates of humic color in lakes with low chl a levels.

Original languageEnglish (US)
Pages (from-to)179-190
Number of pages12
JournalLake and Reservoir Management
Volume22
Issue number3
DOIs
StatePublished - 2006

Bibliographical note

Funding Information:
Financial support was provided by a grant from the Minnesota Department of Natural Resources and a NASA RESAC grant. We appreciate the assistance and interest of David Wright (MDNR). We also appreciate the help with software and calibration of the spectrometer by CALMIT Laboratories, University of Nebraska, Lincoln. Support for KDM was provided in part by a Department of Civil Engineering Som-merfeld Fellowship.

Keywords

  • CDOM
  • Chlorophyll
  • Humic color
  • Reflectance hyperspectra
  • Remote sensing
  • Secchi disk
  • Transparency

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