气候变化领域集成服务门户(CCPortal): Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method

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DOI	10.1016/j.rse.2021.112386
	Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method
	Jiang D.; Matsushita B.; Pahlevan N.; Gurlin D.; Lehmann M.K.; Fichot C.G.; Schalles J.; Loisel H.; Binding C.; Zhang Y.; Alikas K.; Kangro K.; Uusõue M.; Ondrusek M.; Greb S.; Moses W.J.; Lohrenz S.; O'Donnell D.
发表日期	2021
ISSN	00344257
卷号	258
英文摘要	Total suspended solids (TSS) concentration is an important biogeochemical parameter for water quality management and sediment-transport studies. In this study, we propose a novel semi-analytical method for estimating TSS in clear to extremely turbid waters from remote-sensing reflectance (Rrs). The proposed method includes three sub-algorithms used sequentially. First, the remotely sensed waters are classified into clear (Type I), moderately turbid (Type II), highly turbid (Type III), and extremely turbid (Type IV) water types by comparing the values of Rrs at 490, 560, 620, and 754 nm. Second, semi-analytical models specific to each water type are used to determine the particulate backscattering coefficients (bbp) at a corresponding single wavelength (i.e., 560 nm for Type I, 665 nm for Type II, 754 nm for Type III, and 865 nm for Type IV). Third, a specific relationship between TSS and bbp at the corresponding wavelength is used in each water type. Unlike other existing approaches, this method is strictly semi-analytical and its sub-algorithms were developed using synthetic datasets only. The performance of the proposed method was compared to that of three other state-of-the-art methods using simulated (N = 1000, TSS ranging from 0.01 to 1100 g/m3) and in situ measured (N = 3421, TSS ranging from 0.09 to 2627 g/m3) pairs of Rrs and TSS. Results showed a significant improvement with a Median Absolute Percentage Error (MAPE) of 16.0% versus 30.2–90.3% for simulated data and 39.7% versus 45.9–58.1% for in situ data, respectively. The new method was subsequently applied to 175 MEdium Resolution Imaging Spectrometer (MERIS) and 498 Ocean and Land Colour Instrument (OLCI) images acquired in the 2003–2020 timeframe to produce long-term TSS time-series for Lake Suwa and Lake Kasumigaura, Japan. Performance assessments using MERIS and OLCI matchups showed good agreements with in situ TSS measurements. © 2021 Elsevier Inc.
英文关键词	MERIS and OLCI; Multi-wavelength; Semi-analytical models; Total suspended solids; Water type classification
语种	英语
scopus关键词	Analytical models; Backscattering; Quality management; Remote sensing; Sediment transport; Water conservation; Water management; Water quality; Medium resolution imaging spectrometer and ocean and land color instrument; Multi-wavelengths; Semi-analytical methods; Semi-analytical model; Suspended solid concentration; Total suspended solids; Turbid water; Type II; Water type classification; Water types; Lakes; algorithm; analytical method; backscatter; concentration (composition); estimation method; image analysis; in situ measurement; MERIS; parameter estimation; remote sensing; sediment transport; spectral reflectance; suspended load; water quality; wavelength; Chubu; Honshu; Ibaraki; Japan; Kanto; Lake Kasumigaura; Lake Suwa; Nagano
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178884
作者单位	Faculty of Life and Environmental Sciences, University of Tsukuba, Ibaraki, Japan; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications Inc., Lanham, MD, United States; Wisconsin Department of Natural Resources, Madison, WI, United States; Xerra Earth Observation Institute and the University of Waikato, Hamilton, New Zealand; Department of Earth and Environment, Boston University, Boston, MA, United States; Creighton University, Department of Biology, Omaha, NE, United States; Univ. Littoral Côte d'Opale, Univ. Lille, CNRS, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences, Lille, France; Water Science and Technology Directorate, Environment and Climate Change Canada, Burlington, ON, Canada; Taihu Lake Laboratory Ecosystem Research Station, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China; Tartu Observatory of the University of Tartu, Tartu, Estonia; NOAA Cent...
推荐引用方式 GB/T 7714	Jiang D.,Matsushita B.,Pahlevan N.,et al. Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method[J],2021,258.
APA	Jiang D..,Matsushita B..,Pahlevan N..,Gurlin D..,Lehmann M.K..,...&O'Donnell D..(2021).Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method.Remote Sensing of Environment,258.
MLA	Jiang D.,et al."Remotely estimating total suspended solids concentration in clear to extremely turbid waters using a novel semi-analytical method".Remote Sensing of Environment 258(2021).