Improving quantitative remote sensing for monitoring of inland water quality

Gitelson, Anatoly A.; Szilágyi, Ferenc; Mittenzwey, K.‐H.

doi:10.1016/0043-1354(93)90010-f

Cited by 33 publications

(13 citation statements)

References 9 publications

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“…In addition, Carter Lake is a eutrophic to hypereutrophic lake by many standard criteria. In such waters red and near infrared reflectances are consistently the most reliable and expedient remote sensing variables in predictive algorithms for chl a assessments (Gitelson et al 1986, Millie et al 1992, Mittenzway et al 1992, Quibell 1992, Dekker 1993, Gitelson et al 1993, Goodin et al 1993, Dierberg and Carriker 1994, Han et al 1994, Richardson et al 1995, Rundquist et al 1995, Yacobi et al 1995, Schalles et al 1997.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies of productive marine and freshwater ecosystems demonstrated that light reflectance at red and near infrared wavelengths (between about 670 and 720 nm) isolated the optical behavior of phytoplanktonic chlorophyll a, allowing estimation of pigment concentration (Gitelson et al 1986, Vos et al 1986, Gitelson 1992, Millie et al 1992, Mittenzway et al 1992, Quibell 1992, Dekker 1993, Gitelson et al 1993, Goodin et al 1993, Dierberg and Carriker 1994, Han et al 1994, Richardson et al 1995, Rundquist et al 1995, Yacobi et al 1995, Schalles et al 1997. Chlorophyll information in the red and near infrared (NIR) portions of reflectance spectra (ϳ660-720 nm) is not affected by other plant pigments and appears valid across taxonomic boundaries and under diverse relationships of chlorophyll concentration to other water constituents.…”

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confidence: 99%

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ESTIMATION OF CHLOROPHYLL a FROM TIME SERIES MEASUREMENTS OF HIGH SPECTRAL RESOLUTION REFLECTANCE IN AN EUTROPHIC LAKE

Schalles

Gitelson

Yacobi

et al. 1998

Journal of Phycology

132

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We acquired high spectral resolution reflectance data in Carter Lake, a eutrophic oxbow on the Iowa-Nebraska border, from April 1995 to April 1996. Chlorophyll a, total seston, sestonic organic matter, Secchi depth, and nephelometric turbidity were determined for each respective spectral measurement. Changes in algal taxonomic structure and abundance coincided with the development and senescence of a midsummer through autumn bloom of Anabaena. Taxonomic structure was more diverse in late winter and spring when Synedra sp. (diatom) and several chlorophytes and dinoflagellates were present. Overall, chlorophyll a varied from about 20 to 280 g·L Ϫ1 , Secchi transparency from 18 to 74 cm, and seston dry weight from 11 to 48 mg·L Ϫ1 in February and September, respectively. Particulate matter completely dominated lake water light attenuation. Dissolved organic matter had low optical activity. The most sensitive spectral feature to variation in chlorophyll a concentration was the magnitude of the scattering peak near 700 nm. The 700-nm peak correlated to chlorophyll concentration through the relationships between algal pigment absorption near 670 nm and the cell biomass and surface-related scattering signal in the near infrared. An algorithm relating the height of the 700-nm reflectance peak above a reference baseline between 670 and 850 nm to chlorophyll a was accurate and robust despite large variations in optical constituents caused by both strong seasonality in the algal system and short-term variations in seston from wind-induced sediment resuspension. The present algorithms were successfully used in other systems with different seasonality and productivity patterns. The coefficients of the models relating chlorophyll a and spectral reflectance variables appeared to be ecosystem specific: both the intercept and slope for the models in this study were moderately lower than for several other recently published results. We validated our algorithm coefficients

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

ESTIMATION OF CHLOROPHYLL a FROM TIME SERIES MEASUREMENTS OF HIGH SPECTRAL RESOLUTION REFLECTANCE IN AN EUTROPHIC LAKE

Schalles

Gitelson

Yacobi

et al. 1998

Journal of Phycology

132

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“…Hyperspectral remote sensing is effective in studying optically active in-water constituents such as chlorophyll (taken as a proxy for biomass productivity) (Dekker et al, 1995;Jiao et al, 2006;Turdukulov, 2003). Most studies have concentrated on the relationship between chlorophyll-a (CHL) and the narrow band spectral details at the red edge of the visible spectrum (Dekker, 1993;Gitelson et al, 1993;Thiemann and Kaufmann, 2002). Received results have shown a strong linear relationship between chlorophyll content and algorithms based on spectral algebra of algal reflectance peak (700-705 nm) and absorption trough (675-680 nm) (Dall'Olmo et al, 2005;Murphy et al, 2005).…”

Section: Introductionmentioning

confidence: 96%

Determination of chlorophyll content of small water bodies (kettle holes) using hyperspectral airborne data

Igamberdiev¹,

Grenzdoerffer²,

Bill³

et al. 2011

International Journal of Applied Earth Observation and Geoinfor

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“…For example, it has been shown that the light absorption of gelbstoff and detritus does not vary greatly and is confined to the blue region of the spectrum; therefore, this absorption can be easily modeled and separated from light absorbed by phytoplankton [5]. The in situ reflectance of different water types has also been measured; for instance, it has been shown that the reflectance ranging from 650-750 nm is a good predictor of Chl a [3,6,7]. Creating effective spectral indices from reflectance measurements allows for the largescale discrimination of Chl a concentrations in bodies of water.…”

Section: Introductionmentioning

confidence: 99%

Chlorophyll Detection and Mapping of Shallow Water Impoundments Using Image Spectrometry

Artigas

Marti

Yao

et al. 2008

Research Letters in Ecology

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Recommended by Patricia MostoThere exists a common perception that chlorophyll a concentrations in tidal coastal waters are unsuitable to be captured by remote sensing techniques because of high water turbidity. In this study, we use band index measurements to separate active chlorophyll pigments from other constituents in the water. Published single-and multiband spectral indices are used to establish a relationship between algal chlorophyll concentration and reflectance data. We find an index which is suitable to map chlorophyll gradients in the impoundments, ditches, and associated waterways of the Hackensack Meadowlands (NJ, USA). The resulting images clearly depict the spatial distribution of plant pigments and their relationship with the biological conditions of the waters in the estuary. Since these biological conditions are often determined by land usage, the methods in this paper provide a simple tool to address water quality management issues in fragmented urban estuaries.

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Improving quantitative remote sensing for monitoring of inland water quality

Cited by 33 publications

References 9 publications

ESTIMATION OF CHLOROPHYLL a FROM TIME SERIES MEASUREMENTS OF HIGH SPECTRAL RESOLUTION REFLECTANCE IN AN EUTROPHIC LAKE

ESTIMATION OF CHLOROPHYLL a FROM TIME SERIES MEASUREMENTS OF HIGH SPECTRAL RESOLUTION REFLECTANCE IN AN EUTROPHIC LAKE

Determination of chlorophyll content of small water bodies (kettle holes) using hyperspectral airborne data

Chlorophyll Detection and Mapping of Shallow Water Impoundments Using Image Spectrometry

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