2014
DOI: 10.1016/j.rse.2013.07.040
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Monitoring blooms and surface accumulation of cyanobacteria in the Curonian Lagoon by combining MERIS and ASAR data

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Cited by 69 publications
(54 citation statements)
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“…Within this context, synoptic, frequent, and global Earth Observation (EO) data might provide valuable data to improve the monitoring of phytoplankton blooms in freshwater ecosystems (Hestir et al, 2015). For the last decades, EO data have been successfully applied for mapping blooms and phenology (Wang & Shi, 2008;Stumpf et al, 2012;Bresciani et al, 2014;Matthews & Odermatt, 2015). These studies were typically focused on the retrieval of chlorophyll-a concentration (chl-a), commonly used as a proxy of phytoplankton biomass.…”
Section: Introductionmentioning
confidence: 99%
“…Within this context, synoptic, frequent, and global Earth Observation (EO) data might provide valuable data to improve the monitoring of phytoplankton blooms in freshwater ecosystems (Hestir et al, 2015). For the last decades, EO data have been successfully applied for mapping blooms and phenology (Wang & Shi, 2008;Stumpf et al, 2012;Bresciani et al, 2014;Matthews & Odermatt, 2015). These studies were typically focused on the retrieval of chlorophyll-a concentration (chl-a), commonly used as a proxy of phytoplankton biomass.…”
Section: Introductionmentioning
confidence: 99%
“…Cyanobacterial surface scums and floating vegetation could significantly change the characteristics of water remote sensing reflectance (Bresciani et al, 2014;Matthews et al, 2012). In these extreme conditions, the red peaks of the water remote sensing reflectance shifts towards 750 nm or higher wavelengths from 700 nm because the absorbing effect of water is minimized (Matthews et al, 2012).…”
Section: Factors Interfering With the Performance Of The Modelmentioning
confidence: 99%
“…The band 9 (705 nm) to band 7 (665 nm) ratio of MERIS-derived R rs was then computed to estimate chl-a concentration according to Žilius et al (2014). Based on Bresciani et al (2014) we also removed all pixels affected by surface scum phenomena. The maps of MERIS-derived CDOM and chla were geocoded and projected to the WGS 84/UTM zone 34N coordinate system.…”
Section: Satellite Datamentioning
confidence: 99%