Abstract

Inland waters play a critical role in our drinking water supply. Additionally, they areimportant providers of food and recreation possibilities. Inland waters are known to be opticallycomplex and more diverse than marine or ocean waters. The optical properties of natural waters areinfluenced by three different and independent sources: phytoplankton, suspended matter, andcolored dissolved organic matter. Thus, the remote sensing of these waters is more challenging.Different types of waters need different approaches to obtain correct water quality products;therefore, the first step in remote sensing of lakes should be the classification of the water types. Theclassification of optical water types (OWTs) is based on the differences in the reflectance spectra ofthe lake water. This classification groups lake and coastal waters into five optical classes: Clear,Moderate, Turbid, Very Turbid, and Brown. We studied the OWTs in three different Latvian lakes:Burtnieks, Lubans, and Razna, and in a large Estonian lake, Lake Võrtsjärv. The primary goal of thisstudy was a comparison of two different Copernicus optical instrument data for opticalclassification in lakes: Ocean and Land Color Instrument (OLCI) on Sentinel-3 and MultispectralInstrument (MSI) on Sentinel-2. We found that both satellite OWT classifications in lakes werecomparable (R2 = 0.74). We were also able to study the spatial and temporal changes in the OWTs ofthe study lakes during 2017. The comparison between two satellites was carried out to understandif the classification of the OWTs with both satellites is compatible. Our results could give us not onlya better overview of the changes in the lake water by studying the temporal and spatial variabilityof the OWTs, but also possibly better retrieval of Level 2 satellite products when using OWT guidedapproach.

Highlights

  • The remote sensing of inland waters is getting more attention, because traditional in-situ methods cannot monitor lakes with the temporal and spatial frequency demands in the European Union Water Framework Directive (WFD) [1]

  • We studied the optical water types (OWTs) in three different Latvian lakes: Burtnieks, Lubans, and Razna, and in a large Estonian lake, Lake Võrtsjärv

  • The primary goal of this study was a comparison of two different Copernicus optical instrument data for optical classification in lakes: Ocean and Land Color Instrument (OLCI) on Sentinel-3 and Multispectral Instrument (MSI) on Sentinel-2

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Summary

Introduction

The remote sensing of inland waters is getting more attention, because traditional in-situ methods cannot monitor lakes with the temporal and spatial frequency demands in the European Union Water Framework Directive (WFD) [1]. Inland waters are known to be optically complex and more diverse than marine or ocean waters. To obtain correct water quality products, the first step in remote sensing of lakes could be the classification of the water types because lake optical properties can vary in time and space, depending on the changes in weather, biological composition, and physical attributes. One method for all lakes or even in the same lake might not work well [2,3,4] This approach has been practiced in sea water [5,6,7,8,9], and it is a recent trend in inland waters [10,11,12,13,14,15,16]

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