Using Synergy between Water Limnology and Satellite Imagery to Identify Algal Blooms Extent in a Brazilian Amazonian Reservoir

Monitoring algal blooms from space is a very challenging task, which becomes particularly difficult when dealing with cyanobacteria blooms. Cyanobacteria are strategic organisms adapted to a wide variety of environmental conditions. In high concentrations, they form scum on the water surface, which is a concern for public health due to the production of toxins, as well as being a nuisance. Knowledge of the ecological role of these organisms is, therefore, essential when trying to estimate their extent from satellite-based data. We present a multidisciplinary approach, based on both the ecological and the optical perspective. This approach is applied in a Brazilian Amazonian reservoir using spatial and temporal scales.

Identifier
DOI https://doi.org/10.17026/dans-zsm-n3s6
PID https://nbn-resolving.org/urn:nbn:nl:ui:13-6w-3esu
Metadata Access https://easy.dans.knaw.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:easy.dans.knaw.nl:easy-dataset:115720
Provenance
Creator Brandao, I.L.S.B.
Publisher Data Archiving and Networked Services (DANS)
Publication Year 2019
Rights info:eu-repo/semantics/restrictedAccess; DANS License; https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf
OpenAccess false
Representation
Language English
Resource Type Dataset
Format .csv
Discipline Biospheric Sciences; Ecology; Geosciences; Natural Sciences