气候变化领域集成服务门户(CCPortal): Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas

CCPortal

DOI	10.1016/j.rse.2020.111632
	Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas
	Arabi B.; Salama M.S.; Pitarch J.; Verhoef W.
发表日期	2020
ISSN	00344257
卷号	239
英文摘要	Recently, there have been significant efforts in the integration of in-situ and satellite observations for effective monitoring of coastal areas (e.g., the Copernicus program of the European Space Agency). In this study, a 15-year diurnal variation of Water Constituent Concentrations (WCCs) was retrieved from multi-sensor satellite images and in-situ hyperspectral measurements using Radiative Transfer (RT) modeling in the Dutch Wadden Sea. The existing RT model 2SeaColor was inverted against time series of in-situ hyperspectral measurements of water leaving reflectances (Rrs [sr− 1]) for the simultaneous retrieval of WCCs (i.e., Chlorophyll-a (Chla), Suspended Particulate Matter (SPM), Dissolved Organic Matter (CDOM)) on a daily basis between 2003 and 2018 at the NIOZ jetty station (the NJS) located in the Dutch part of the Wadden Sea. At the same time, the existing coupled atmosphere-hydro-optical RT model MOD2SEA was used for the simultaneous retrieval of WCCs from time series of multi-sensor satellite images of the MEdium Resolution Imaging Spectrometer (MERIS) onboard ENVISAT, Multispectral Instrument (MSI) onboard Sentinel-2 and Ocean and Land Colour Instrument (OLCI) onboard Sentinel-3 between 2003 and 2018 over the Dutch Wadden Sea. At the NJS, a direct comparison (Taylor diagram and statistical analysis) showed strong agreement between in-situ and satellite-derived WCC values (Chla: R2 ≥ 0.70, RMSE ≤7.5 [mg m− 3]; SPM: R2 ≥ 0.72, RMSE ≤5.5 [g m− 3]; CDOM absorption at 440 nm: R2 ≥ 0.67, RMSE ≤1.7 [m− 1]). Next, the plausibility of the spatial variation of retrieved WCCs over the study area was evaluated by generating maps of Chla [mg m− 3], SPM [g m− 3], and CDOM absorption at 440 nm [m− 1] from MERIS and OLCI images using the MOD2SEA model. The integration of the spatio-temporal WCC data obtained from in-situ measurements and satellite images in this study finds applications for the detection of anomaly events and serves as a warning for management actions in the complex coastal waters of the Wadden Sea. © 2020 Elsevier Inc.
英文关键词	2SeaColor; Coastal waters; ENVISAT; Hyperspectral observations; In-situ measurements; Integration; Long-term water quality monitoring; MERIS; MODTRAN; MSI; Multi-sensor satellites; OLCI; Radiative Transfer modeling; Remote sensing; Sentinel-2; Sentinel-3; The Wadden Sea
语种	英语
scopus关键词	Coastal zones; Information management; Integration; Marine applications; Radiative transfer; Remote sensing; Time series; Water quality; 2SeaColor; Coastal waters; ENVISAT; Hyperspectral observations; In-situ measurement; MERIS; MODTRAN; Multi sensor; OLCI; Radiative transfer model; Sentinel-2; Sentinel-3; Wadden Sea; Water quality monitoring; Geodetic satellites; coastal water; Envisat; in situ measurement; MERIS; satellite data; water quality; Atlantic Ocean; North Sea; Wadden Sea
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/179454
作者单位	Department of Water Resources (WRS), Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500AE, Enschede, Netherlands; Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, PO Box 59, 1790AB, Den Burg, Texel, Netherlands; Utrecht University, Netherlands
推荐引用方式 GB/T 7714	Arabi B.,Salama M.S.,Pitarch J.,et al. Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas[J],2020,239.
APA	Arabi B.,Salama M.S.,Pitarch J.,&Verhoef W..(2020).Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas.Remote Sensing of Environment,239.
MLA	Arabi B.,et al."Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas".Remote Sensing of Environment 239(2020).