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Data · dataset · 2018

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

Listed in DANS Data Station Physical and Technical Sciences

Monitoring algal blooms from space is a very challenging task, which becomes particularly difficult when dealing with cyanobacteria blooms.

Description

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.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
DANS Data Station Physical and Technical Sciencesdoi:10.17026/DANS-ZSM-N3S610 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · phys techsciences datastations nlconnector:phys_techsciences_datastations_nl@1.0.0/subjects
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