Antonio Ruiz Verdú, R. P. Martínez, Caridad De Hoyos Alonso
{"title":"Monitoring cyanobacteria in inland waters by remote sensing","authors":"Antonio Ruiz Verdú, R. P. Martínez, Caridad De Hoyos Alonso","doi":"10.1080/03680770.2009.11902358","DOIUrl":null,"url":null,"abstract":"The absorption of the cyanobacterial pigment phycocyanin (PC) can be detected in the reflectance spectra of inland waters as a trough in the 620-630 nm region. Several algorithms have been proposed for retrieving PC concentrations from reflectance, based on semiempirical band ratios (DEKKER 1993), baseline (SCHALLES & YACOBY 2000), or semiempirical nested band ratios (SIMIS et al. 2005). These algorithms can be applied to the spaceborne sensors EnvisatMERIS and Chris/Proba (CHRIS), thus allowing PC mapping on a continuous spatial and temporal basis. We validated these algorithms with field data obtained in 2001-2007 in 65 lakes and reservoirs in Spain, and obtained thematic maps for Cyanobacteria from MERIS and CHRIS imagery.","PeriodicalId":404196,"journal":{"name":"Internationale Vereinigung für theoretische und angewandte Limnologie: Verhandlungen","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Internationale Vereinigung für theoretische und angewandte Limnologie: Verhandlungen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/03680770.2009.11902358","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The absorption of the cyanobacterial pigment phycocyanin (PC) can be detected in the reflectance spectra of inland waters as a trough in the 620-630 nm region. Several algorithms have been proposed for retrieving PC concentrations from reflectance, based on semiempirical band ratios (DEKKER 1993), baseline (SCHALLES & YACOBY 2000), or semiempirical nested band ratios (SIMIS et al. 2005). These algorithms can be applied to the spaceborne sensors EnvisatMERIS and Chris/Proba (CHRIS), thus allowing PC mapping on a continuous spatial and temporal basis. We validated these algorithms with field data obtained in 2001-2007 in 65 lakes and reservoirs in Spain, and obtained thematic maps for Cyanobacteria from MERIS and CHRIS imagery.
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