Daily turbidity of the Baltic Sea and Finnish lakes (Landsat-8 OLI) 2016–/Daily turbidity of the Baltic Sea and Finnish lakes (Landsat-8 OLI) 2016—

**[EN]** Observations of satellite instruments monitor the cloudyness of water from cloud-free areas during molten water from Finnish sea areas and lakes. Sameushavais often show natural variability, such as soil brought by rivers into coastal waters or resuspension caused by strong winds, which raises cloudy water from the bottom to the surface. This data consists of the findings of the NASA Landsat-8 satellite OLI since 2016. The interpretation shall be made to the nearest 60 metres. Observations are available on average every 13 days depending on satellite overflying lines. The corresponding opaque interpretation will also be made from the data from the EU’s Sentinel-2 series MSI (separate metadata) of the EU Copernicus programme. The interpretation of opacity is based on the reflection of solar radiation from the waters detected by the satellite instrument, which is greater in cloudy waters than in bright areas. The interpretation of opacity is made with a model based on the neuronetwork (C2RCC, Brockmann et al. 2016; Doerffer not. 2007; 2008a; 2008b). 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 of water quality in the Baltic Sea and Finnish lakes. The material is part of SYKE’s open data (CC BY 4.0). *** **[En]** Satellite observations are used to monitor turbidity of water from cloudless regions during Meltwater from Finnish sea areas and lakes. Turbidity maps often show natural variation, such as soil brought into the coastal waters by rivers or resuspension caused by strong winds, which raises more turbid water from the bottom to the surface. The turbidity interpretation is based on the reflection of solar radiation from the water area detected by the satellite instrument, which is higher in turbid water areas than the water reflection in bright areas. The interpretation is based on observations from the OLI instrument of the NASA Landsat8 satellite (as well as the Sentinel-2 series MSI instruments, separate metadata) starting from year 2016. The data is made with an accuracy of 60 m. The estimation of turbidity is produced with a model based on a neural network (C2RCC, Brockmann et al. 2016; Doerffer, et al. 2007; 2008a; 2008b). The model is openly available through SNAP software. In SYKE’s data, however, the final result of the model has been adapted to correspond to the optical properties of the Finnish coast and lake areas. The adaptation is based on field campaigns and station sampling (as exemplified e.g. 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. Doerffer, R. & Schiller, H. (2007). The MERIS Case 2 algorithm. International Journal of Remote Sensing, 28 (3-4), 517-535. doi:10.1080/01431160600821127. [Doerffer, R., & Schiller, H. (2008a). Meris Regional Coastal and Lake Case 2 Water Project Atmospheric correction ATBD (Algorithm Theoretical Basis Document) 1.0. 41 p. pdf](https://www.semanticscholar.org/paper/Algorithm-Theoretical-Basis-Document-(ATBD)-MERIS-2-Doerffer-Schiller/c584b7288212983adcdb32488bfc802d7f01016d#paper-header) Doerffer, R. & Schiller, H., (2008b).Meris Lake Water Project — Lake Water Algorithm for BEAM, ATBD (Algorithm Theoretical Basis Document) 1.0, 17 p. *** **WMS server/WMS service endpoint**: https://geoserver2.ymparisto.fi/geoserver/eo/wms **WMS level/WMS layer**: EO_HR_WQ_LC8_TURB *** **[EN]** turbidity interpretation resulting from remote sensing monitoring. From 2016 onwards, consisting of Finnish sea areas and lakes. Processing history: Turbidity has been interpreted from the materials of the Landsat-8 OLI satellite instrument. The original satellite data is downloaded from USGS/NASA download services. In the heart rate, the opacity interpretations are calculated using the Case-2 Regional CoastColour (C2RCC). *** **[En]** Satellite observations are used to monitor turbidity from years 2016- for the Finnish sea areas and lakes. Processing history: The Landsat-8 OLI data have been received from USGS/NASA service. The dataset has been processed to turbidity values in SYKE using the C2RCC algorithm, which includes atmospheric correction.