ISBN: 9783540682097
Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to monitor visible algae blooms and through remote sensing, including infrared techniques, predict t… Plus…
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2012, ISBN: 9783540682097
Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to monitor visible algae blooms and through remote sensing, including infrared techniques, predict t… Plus…
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ISBN: 9783540682097
Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to monitor visible algae blooms and through remote sensing, including infrared techniques, predict t… Plus…
2012, ISBN: 9783540682097
Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to monitor visible algae blooms and through remote sensing, including infrared techniques, predict t… Plus…
2012
ISBN: 9783540682097
Monitoring of Harmful Algae Blooms is a timely guide to the research techniques in use to monitor visible algae blooms and through remote sensing, including infrared techniques, predict t… Plus…
2012, ISBN: 9783540682097
eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2012
2012, ISBN: 9783540682097
eBooks, eBook Download (PDF), 2013, [PU: Springer Berlin], Springer Berlin, 2012
Données bibliographiques du meilleur livre correspondant
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Informations détaillées sur le livre - Monitoring of Harmful Algal Blooms
EAN (ISBN-13): 9783540682097
ISBN (ISBN-10): 3540682090
Date de parution: 2013
Editeur: Springer Berlin
Livre dans la base de données depuis 2008-02-03T17:49:36+01:00 (Zurich)
Page de détail modifiée en dernier sur 2023-08-11T18:28:35+02:00 (Zurich)
ISBN/EAN: 9783540682097
ISBN - Autres types d'écriture:
3-540-68209-0, 978-3-540-68209-7
Autres types d'écriture et termes associés:
Auteur du livre: petter, pettersson, lasse, erland erdmann
Titre du livre: blo, monitor, bloom, pettersson, blooms
Données de l'éditeur
Auteur: Lasse H. Pettersson; Dmitry Pozdnyakov
Titre: Springer Praxis Books; Geophysical Sciences; Monitoring of Harmful Algal Blooms
Editeur: Springer; Springer Berlin
309 Pages
Date de parution: 2012-07-25
Berlin; Heidelberg; DE
Langue: Anglais
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XXXI, 309 p.
EA; E107; eBook; Nonbooks, PBS / Chemie/Sonstiges; Umweltchemie; Verstehen; biochemical modeling; ecological modeling; marine ecology; phytoplankton; remote sensing; ecotoxicology; B; Environmental Chemistry; Biogeosciences; Geochemistry; Ocean Sciences; Geographical Information System; Ecology; Earth and Environmental Science; Biogeographie; Geochemie; Ozeanographie (Meereskunde), Meere und Ozeane; Geographische Informationssysteme (GIS) und Fernerkundung; Ökologie, Biosphäre; BB
is all about the research techniques to monitor visible algal blooms and through remote sensing, including infrared techniques, predict them through mathematical modelling.
Monitoring of Harmful Algal BloomsAspects of Harmful Algal Blooms (HAB).- Biology and ecology of some harmful algal species (focus on Chantonella-tbd).- Retrieval of algal bloom related quantities from space.- Monitoring algal bloom from space.- Integrated approach for operational and forecasting HAB events.
Sometimes known as ‘Red Tides’, some of the wide variety of phytoplankton species in the World’s oceans produce toxins which can harm marine life. In certain circumstances, these harmful algae blooms can even cause illness or death in humans. Shellfish filter feed on phytoplankton and concentrate their toxins in their bodies and people who eat them can contract life threatening food poisoning. A number of countries have monitoring programs to measure the presence of toxins in algae blooms. Monitoring of Harmful Algae Blooms is all about the research techniques to monitor visible algae blooms and through remote sensing, including infrared techniques, predict them through mathematical modeling.
Drawing on current and future satellite data presents visible perspectives of a more efficient HAB monitoring system for the future Emphasises practical applications, impacting on marine ecology, national economy, health, food and safety and quality assurance Using remote sensing and ecological/biochemical numerical modelling for data assimilation as techniques for predicting HAB Includes supplementary material: sn.pub/extras;
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