title: Estimation of cyanobacteria biovolume in water reservoirs by MERIS sensor.
abstract: Planktonic cyanobacteria primarily develop in lentic water bodies, such as lakes and water reservoirs. In certain instances, toxin-producing cyanobacterial populations might dominate the phytoplankton community. Satellite remote sensing is a useful tool for large spatial scale monitoring of cyanobacteria, and the MERIS sensor from the Envisat satellite has taken worldwide images at a high frequency for over 10 years. This short time lapse image collection has provided an extensive record of images for the analysis of variation in the cyanobacterial communities in water reservoirs for management and scientific purposes. The objective of this work is to determine the relationship between measured cyanobacterial biomass as biovolume and the estimations derived from MERIS imagery. This study encompasses two independent studies relying on data from 23 water reservoirs. First, a long-term global limnological research study was conducted that provided a field data collection that included cyanobacterial biovolume, among other variables. Second, a survey was conducted that applied the processed images derived from the Envisat MERIS sensor. The chlorophyll-a (Chl a) content and phycocyanin concentration (PC) were estimated from the MERIS images. The PC estimated by remote sensing and total cyanobacterial biovolume measured from the field samples were found to be significantly correlated (R(2) = 0.6219; p < 0.001). No relevant differences were found among the taxonomical groups, which indicated that this tool provides accurate estimations irrespective of the cyanobacterial group. For validation, the algorithm derived from the entire dataset was applied to the MERIS image dataset of the Rosarito reservoir. An estimated cyanobacterial biovolume time series was performed and compared to the biovolume data collected in an extensive sampling schedule spanning 4 years. The results indicated a strong correlation (R(2) = 0.72; p < 0.001) between the measured and estimated data acquired on the same day.
authors: Centro de Estudios Hidrográficos (CEDEX), Paseo bajo de la Virgen del Puerto 3, 28005 Madrid, Spain. Electronic address: miguelmedinacobo@gmail.com.
authors: M
authors: M
authors: Medina-Cobo
authors: Mathematical and Fluid Physics Department, Universidad Nacional de Educación a Distancia (UNED), Senda del Rey Street 9, 28040 Madrid, Spain. Electronic address: jadomin@dfmf.uned.es.
authors: J A
authors: JA
authors: Domínguez
authors: Dpt. Biology, Universidad Autonoma de Madrid, Calle Darwin 2, 28049 Madrid, Spain. Electronic address: antonio.quesada@uam.es.
authors: A
authors: A
authors: Quesada
authors: Centro de Estudios Hidrográficos (CEDEX), Paseo bajo de la Virgen del Puerto 3, 28005 Madrid, Spain. Electronic address: caridad.dehoyos@cedex.es.
authors: C
authors: C
authors: de Hoyos
mesh_terms: D018533:Biomass; D002734:Chlorophyll / Q000032:analysis; D000077194:Chlorophyll A; D000458:Cyanobacteria / Q000502:physiology*; D004784:Environmental Monitoring / Q000379:methods*; D060106:Lakes; D016014:Linear Models; D010798:Phycocyanin / Q000032:analysis; D058998:Remote Sensing Technology; D013030:Spain; D013057:Spectrum Analysis; D014871:Water Microbiology
chemical_list: D010798:Phycocyanin; D002734:Chlorophyll; D000077194:Chlorophyll A
keywords: Biovolume; Cyanobacteria; MERIS sensor; Phycocyanin; Time series; Water reservoirs