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Article

Estimating the concentration of total suspended solids in inland and coastal waters from Sentinel-2 MSI: A semi-analytical approach

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Citation

Jiang D, Matsushita B, Pahlevan N, Gurlin D, Fichot CG, Harringmeyer J, Sent G, Brito AC, Brotas V, Werther M, Mascarenhas V, Blake M, Hunter P, Tyler A & Spyrakos E (2023) Estimating the concentration of total suspended solids in inland and coastal waters from Sentinel-2 MSI: A semi-analytical approach. ISPRS Journal of Photogrammetry and Remote Sensing, 204, pp. 362-377. https://doi.org/10.1016/j.isprsjprs.2023.09.020

Abstract
Inland and coastal waters provide key ecosystem services and are closely linked to human well-being. In this study, we propose a semi-analytical method, which can be applied to Sentinel-2 MultiSpectral Instrument (MSI) images to retrieve high spatial-resolution total suspended solids (TSS) concentration in a broad spectrum of aquatic ecosystems ranging from clear to extremely turbid waters. The presented approach has four main steps. First, the remote sensing reflectance (Rrs) at a band lacking in MSI (620 nm) is estimated through an empirical relationship from Rrs at 665 nm. Second, waters are classified into four types (clear, moderately turbid, highly turbid, and extremely turbid). Third, semi-analytical algorithms are used to estimate the particulate backscattering coefficient (bbp) at a reference band depending on the water types. Last, TSS is estimated from bbp at the reference band. Validation and comparison of the proposed method with three existing methods are performed using a simulated dataset (N = 1000), an in situ dataset collected from global inland and coastal waters (N = 1265) and satellite matchups (N = 40). Results indicate that the proposed method can improve TSS estimation and provide accurate retrievals of TSS from all three datasets, with a median absolute percentage error (MAPE) of 14.88 %, 31.50 % and 41.69 % respectively. We also present comparisons of TSS mapping between the Sentinel-3 Ocean and Land Colour Instrument (OLCI) and MSI in Lake Kasumigaura, Japan and the Tagus Estuary, Portugal. Results clearly demonstrate the advantages of using MSI for TSS monitoring in small water bodies such as rivers, river mouths and other nearshore waters. MSI can provide more detailed and realistic TSS estimates than OLCI in these water bodies. The proposed TSS estimation method was applied to MSI images to produce TSS time-series in Lake Kasumigaura, which showed good agreements with in situ and OLCI-derived TSS time-series.

Keywords
Total suspended solids; Semi-analytical algorithm; Sentinel-2 MSI; Inland waters; Coastal waters

Journal
ISPRS Journal of Photogrammetry and Remote Sensing: Volume 204

StatusPublished
Funders
Publication date31/10/2023
Publication date online28/09/2023
Date accepted by journal22/09/2023
URL
PublisherElsevier BV
ISSN0924-2716

People (6)

Mr Matthew Blake

Mr Matthew Blake

Snr Tech Specialist Earth Observation

Professor Peter Hunter

Professor Peter Hunter

Professor, Scotland's International Environment Centre

Dr Dalin Jiang

Dr Dalin Jiang

Research Fellow, Biological and Environmental Sciences

Professor Evangelos Spyrakos

Professor Evangelos Spyrakos

Professor, Biological and Environmental Sciences

Professor Andrew Tyler

Professor Andrew Tyler

Scotland Hydro Nation Chair, Scotland's International Environment Centre

Dr Mortimer Werther

Dr Mortimer Werther

Honorary Research Fellow, Biological and Environmental Sciences

Projects (1)

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