2004
DOI: 10.1016/j.rse.2003.10.014
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Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie

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Cited by 287 publications
(188 citation statements)
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“…Wheeler [7] monitored the distribution of blue-green algae in Lake Champlain and Lake Vermont with Landsat TM, calibrated with the data of Flow CytoMeter, and obtained good results. Vincent [8] detected phycocyanin with Landsat TM in Lake Erie, regressed with fluorescence ratio of phycocyanin and chlorophyll a, and the correlation coefficient can reach 0.77. After studying the distribution of phycocyanin in inland water with high concentration of suspended solids and CDOM, Simis [9] set up the bio-optical model of phycocyanin by retrieving the phycocyanin absorption at 620 nm, and applied it to detecting blue-green algae affected by virus in lakes of Dutch with MERIS.…”
mentioning
confidence: 98%
“…Wheeler [7] monitored the distribution of blue-green algae in Lake Champlain and Lake Vermont with Landsat TM, calibrated with the data of Flow CytoMeter, and obtained good results. Vincent [8] detected phycocyanin with Landsat TM in Lake Erie, regressed with fluorescence ratio of phycocyanin and chlorophyll a, and the correlation coefficient can reach 0.77. After studying the distribution of phycocyanin in inland water with high concentration of suspended solids and CDOM, Simis [9] set up the bio-optical model of phycocyanin by retrieving the phycocyanin absorption at 620 nm, and applied it to detecting blue-green algae affected by virus in lakes of Dutch with MERIS.…”
mentioning
confidence: 98%
“…The Landsat Thematic Mapper (TM) and Enhanced TM plus (ETM+) archive contains imagery since 1984 and although it was not designed for aquatic applications, researchers have at-N o n -c o m m e r c i a l u s e o n l y tempted to test its capabilities since the archive is a valuable source of data for retrospective change analysis (Sass et al, 2007). In the literature, we find numerous examples of applications of Landsat images for estimating and/or monitoring lake water and in particular water transparency (Stadelmann et al, 2001;Olmanson et al, 2008), phytoplankton concentration (Tyler et al, 2006), SPM (Zhou et al, 2006), CDOM (Brezonik et al, 2005), blooms of cyanobacteria (Vincent et al, 2004) and macrophyte (Albright and Ode, 2011). On May 30, 2013, data from the Landsat-8 satellite (launched on 11 February, 2013) became available allowing the continuance of studies on water quality of lakes (until now mainly accomplished with Landsat-5 and Landsat-7).…”
Section: Optical Remote Sensing Sensorsmentioning
confidence: 99%
“…Landsat data have been used to monitor algal blooms [Chang et al, 2004;Vincent et al, 2004], and Moderate Resolution Imaging Spectroradiometer ( MODIS) 250-meter and Medium Resolution Imaging Spectrometer ( MERIS) fullresolution (300-meter) bands have been utilized to detect cyanobacterial blooms [Reinart and Kutser, 2006] as well as to monitor water quality [Koponen et al, 2004].…”
Section: Eos Volume 90 Number 5 3 February 2009mentioning
confidence: 99%