Itämeren päivittäinen a-klorofylliaineisto (Envisat MERIS) 2003–2011 / Daily chlorophyll-a of the Baltic Sea (Envisat MERIS) 2003–2011

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Dataset information

Country of origin
Updated
Created
2025.02.23
Available languages
English
Keywords
earth-observation, remote-sensing, status, ei-inspire, tarkka, water-body, surface-water, monitoring, water-quality, sea-water, chlorophyll, ecological-assessment, sea-regions, ecological-status, status-assessment, satelliittihavaintotieto, eutrophication, satellite-image, coastal-water, water-framework-directive
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Dataset description

**[FI]** Satelliittikuvilta seurataan Itämeren veden a-klorofyllipitoisuutta (ug/l) jäättömiltä ja pilvettömiltä alueilta huhtikuusta lokakuuhun. A-klorofyllin avulla voidaan arvioida levän määrää vedessä. Se on myös keskeinen tekijä veden rehevyystason arvioinnissa. A-klorofyllin määrä on laskettu Envisat MERIS (Medium Resolution Imaging Spectrometer) -instrumentin 3rd Reprocessing -datasta käyttäen neuroverkkolaskentaan perustuvaa FUB-prosessoria (Freie University of Berlin) (Shcroeder et al., 2007). Aineisto koostuu vuosien 2003-2011 päivittäisistä kuvista. Kuvien maastoerotuskyky on 300 metriä. Rannikon ja saarien läheiset matalat alueet on poistetttu aineistosta. Aineisto kuuluu SYKEn avoimiin aineistoihin (CC BY 4.0). Käyttötarkoitus: Itämeren vedenlaadun seuranta. *** **[EN]** Satellite remote sensing is used to monitor the chlorophyll-a (ug/l) of surface water in the Baltic Sea during the open water season from April to October. Areas covered by ice or cloud are excluded from the data. Chlorophyll-a (chl-a) represents the quantity of algae in the water but not directly the amount of cyanobacteria. A daily chlorophyll-a product has been calculated using Envisat MERIS (Medium Resolution Imaging Spectrometer) 3rd Reprocessing data. Satellite data have been processed to chl-a concentrations using a neural network-based FUB processor (Freie University of Berlin). The dataset covers years 2003-2011. The spatial resolution is 300 meters. Shallow areas near the coast and island have been excluded from the dataset. Purpose of use: Monitoring of water quality in the Baltic Sea. *** ## Viitteet / References Attila, J., Kauppila, P., Alasalmi, H., Kallio, K., Keto, V., Bruun, E., & Koponen, S. (2018). Applicability of Earth Observation chlorophyll-a data in assessment of water status via MERIS - with implications for the use of OLCI sensors. Remote Sensing of Environment, 212, 273–287. https://doi.org/10.1016/j.rse.2018.02.043 Attila J. (2019). Water quality monitoring and assessment of the Northern Baltic Sea using Earth Observation. Aalto University publication series, 229/2019. 178p. ISBN (pdf) 978-952-60-8867-9, ISSN (pdf) 1799-4942, http://urn.fi/URN:ISBN:978-952-60-8867-9. HELCOM (2015). Eutrophication Assessment Manual, Annex 3A. http://www.helcom.fi/helcom-atwork/projects/eutro-oper/. Last revision 2015. HELCOM (2018): State of the Baltic Sea - Second HELCOM Holistic assessment 2011-2016. Baltic Sea, Environment Proceedings 155, 155p. Schroeder, T., Schaale, M., & Fischer, J. (2007). Retrieval of atmospheric and oceanic properties from MERIS measurements: A new Case-2 water processor for BEAM. International Journal of Remote Sensing, 28(24), 5627–5632. *** **WMS-palvelin / WMS service endpoint**: https://geoserver2.ymparisto.fi/geoserver/eo/wms **WMS-taso / WMS layer**: MER_FSG_L3_rp2017_chla *** **[FI]** Kaukokartoitusseurantojen tuloksena syntynyt vuosien 2003–2011 havainnoista koostuva päivittäinen a-klorofylliaineisto. Prosessointihistoria: a-klorofylli on tulkittu Envisat MERIS-satelliitti-instrumentin 3rd Reprocessing aineistoilta. Alkuperäinen satelliittidata on ladattu Euroopan avaruusjärjestön (ESA) latauspalveluista. Sykessä niistä on laskettu a-klorofyllitulkinnat käyttäen FUB (Freie University of Berlin)-vedenlaatuprosessoria. *** **[EN]** Chlorophyll-a data from years 2003–2011 for the Baltic Sea. Processing history: The Envisat MERIS 3rd Reprocessing data have been received from ESA service. The dataset has been processed to Chlorophyll-a values in Syke using the FUB (Freie University of Berlin), which includes atmospheric correction.
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