About: Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea

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About: Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea Goto Sponge NotDistinct Permalink

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rdf:type	Item
description	article (en) ലേഖനം (ml) wetenschappelijk artikel (nl) наукова стаття, опублікована в березні 2016 (uk) im März 2016 veröffentlichter wissenschaftlicher Artikel (de)
publication date	wds:Q56864445-012B18E7-8376-4CA6-94AE-3E68C511B2DF
publication date	2016-03-05 00:00:00Z (xsd:dateTime)
cites work	wds:Q56864445-36D72834-1956-4FFC-B514-24092288C5B1 wds:Q56864445-77EC99C3-CD76-471D-98DE-1006C538148A wds:Q56864445-95F5B87D-AD07-4E65-B439-77C35AA7F3DE wds:Q56864445-9BA29B4E-E2DB-4A2F-ACB0-2F8AA11102BE wds:Q56864445-9C5E8B6A-6A5E-4E7A-A019-8025FE5A5436 wds:Q56864445-B80D4A8D-87BE-49C6-8D4B-0087B55CC0E8 wds:Q56864445-D79ECD67-44EF-4870-BB60-396A7E75FF25 wds:Q56864445-E4CF0C36-FC1C-4202-9E18-61C9721B5306 wds:Q56864445-F59E127E-B0DD-4912-9471-06300A877712
cites work	The Effects of Harmful Algal Blooms on Aquatic Organisms Toxins produced in cyanobacterial water blooms - toxicity and risks Assessing the uncertainties of model estimates of primary productivity in the tropical Pacific Ocean Use of hyperspectral remote sensing reflectance for detection and assessment of the harmful alga, Karenia brevis. Ocean color chlorophyll algorithms for SeaWiFS Quantitative analysis of extracted phycobilin pigments in cyanobacteria-an assessment of spectrophotometric and spectrofluorometric methods Monitoring cyanobacterial blooms by satellite remote sensing Comparison of different satellite sensors in detecting cyanobacterial bloom events in the Baltic Sea In-air spectral signatures of the Baltic Sea macrophytes and their statistical separability
author name string	wds:Q56864445-0D493A3B-A740-45F4-B16A-92F73C68D138 wds:Q56864445-20355E20-17D1-4DE8-ABB6-A2E42EE8875A wds:Q56864445-51EC82BD-D668-45FC-AFC4-5A8DA0DFF7D5 wds:Q56864445-C25233E5-9361-4DB4-A21E-886ABA816B5F
author name string	Monika Woźniak Adam Krężel Katarzyna Bradtke Miroslaw Darecki
rdfs:label	Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (en) Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (nl)
skos:prefLabel	Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (en) Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (nl)
name	Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (en) Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (nl)
title	wds:Q56864445-6169A3EC-4146-41C2-B0E2-33600BA4A46A
title	Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea (en)
page(s)	wds:Q56864445-252E3938-DDF8-411B-8D8D-56CC3484C3F6
page(s)	212
instance of	wds:Q56864445-F17756BE-4B21-49A3-AC33-0B5936DF5091
instance of	scholarly article
main subject	wds:Q56864445-5FBA303D-C44B-4078-8D70-DD61D13CD189 wds:Q56864445-9F4EBD0E-3536-455B-AFF0-FE2B6076F10F wds:Q56864445-D46E6C26-B127-4636-9660-364504E18F60
main subject	Baltic Sea Cyanobacteria coastal waters
DBLP publication ID	wds:Q56864445-EBA65D42-7199-4022-8813-300CF17B66DE
DBLP publication ID	https://dblp.org/rec/journals/remotesensing/WozniakBDK16
DBLP publication ID	journals/remotesensing/WozniakBDK16
published in	wds:Q56864445-200E73E8-B38A-4622-81F9-1FDBE1E75BCE
published in	Remote Sensing
issue	wds:Q56864445-F9C478C2-1435-44EA-A1FC-AD058958FA53
volume	wds:Q56864445-0285B07F-BD5E-4783-9129-4010D8CD5292
issue	3
volume	8
DOI	wds:Q56864445-E9DE0657-BF4A-49F0-89A4-0114D88EDA69
DOI	http://dx.doi.org/10.3390/RS8030212
DOI	10.3390/RS8030212
copyright license	wds:Q56864445-c392a160-047a-4be5-832a-e2beb24aa749
copyright status	wds:Q56864445-f818f934-c699-4028-b7e2-da211e2c9a60
copyright license	Creative Commons Attribution 4.0 International
copyright status	copyrighted
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q56864445
is cites work of	Remote estimation of cyanobacterial blooms using the risky grade index (RGI) and coverage area index (CAI): a case study in the Three Gorges Reservoir, China.
is cites work of	wds:Q38703220-65BCD74F-78F6-4AD2-8806-CA2EC3203C71

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