Daily humus (Sentinel-2 MSI) 2016–/Daily CDOM of the Baltic Sea and Finnish lakes (Sentinel-2 MSI) 2016—

**[EN]** Observations of satellite instruments monitor the amount of humus of water from cloud-free areas during molten water from Finnish sea areas and lakes. Humus describes the amount of dissolved organic matter in water. It is a degraded or partially degraded organic substance containing carbon. The amount of humus interpreted from satellite observations is the material in the process development phase and the data on the interface covers examples of observations. The interpretation is based on the EU: the observations of the Copernicus Sentinel-2 series MSI (Multi-spectral Instrument) from 2016. The interpretation shall be made to the nearest 60 metres. The corresponding opacity interpretation is also made from the data from the NASA Landsat satellite OLI instrument (separate metadata). The C2RCC (Case-2 Regional CoastColour) model (Brockmann et al). 2016). The model is openly available through the SNAP software. However, in SYKE’s data, the final result of the model has been adapted to reflect the optical characteristics of Finland’s coastal and lake areas. The arrangement is based on field campaigns and environmental management position sampling on the coast and lakes (the basic principle described in Attila et al., 2013). Purpose: Monitoring the water quality of Finnish sea basins and lakes. The material is part of SYKE’s open data (CC BY 4.0). *** **[En]** Satellite observations are used to monitor CDOM of water from cloudless regions during Meltwater from Finnish sea areas and lakes. Humus describes the amount of dissolved organic matter in water. It is thus a decomposed or partially decomposed organic substance containing carbon. The amount of humus interpreted from the satellite observations is as material in the method development phase and the material at the interface covers the sample data. The interpretation is based on the MSI (Multi-spectral Instrument) of the Sentinel-2 series of the EU Copernicus program (also OLI instrument of the NASA Landsat8 satellite, see separate metadata) starting from year 2016. The interpretation is made with an accuracy of 60 meters. The C2RCC (Case-2 Regional CoastColour) model is used to calculate the data (Brockmann et al. 2016). The model is openly available through SNAP software. However, in SYKE’s data, the final result of the model has been adapted to correspond to the optical properties of Finland’s coastal and lake areas. The adaptation is based on field campaigns and environmental management status sampling on the coast and lakes (basic principle described in Attila et al., 2013). *** ## References/References Attila, J., Koponen, S., Kallio, K., Lindfors, A., Kaitala, S., & Uptalo, P. (2013). Meris Case II water processor comparison on coastal sites of the northern Baltic Sea, Remote Sensing of Environment, 128, 138-149. Brockmann, C & Doerffer, R. (2016). Evolution of the C2RCC neural network for Sentinel 2 and 3 for the retrieval of ocean colour products in normal and extreme optically complex waters. PROC. Living Planet Symposium, ESA SP-470. *** **WMS server/WMS service endpoint**: https://geoserver2.ymparisto.fi/geoserver/eo/wms **WMS level/WMS layer**: EO_HR_WQ_S2_CDOM *** **[EN]** humus interpretation resulting from remote sensing monitoring. Sample data from 2016 onwards on Finnish sea areas and lakes. Processing history: Humus has been interpreted from the Sentinel-2 MSI satellite material. The original satellite data has been downloaded from the European Space Agency (ESA) download services. In the heart rate, humus interpretations are calculated using the Case-2 Regional CoastColour (C2RCC). *** **[En]** Satellite observations are used to monitor CDOM. Example data from years 2016- for the Finnish sea areas and lakes. Processing history: The Sentinel-2 MSI data have been received from ESA service. The dataset has been processed to CDOM values in SYKE using the C2RCC algorithm, which includes atmospheric correction.