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Improved retrieval of Secchi depth for optically-complex waters using remote sensing data
Institution:1. Key Laboratory of Virtual Geographic Environment, Ministry of Education, College of Geographic Science, Nanjing Normal University, Nanjing 210023, China;2. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;3. Chongqing Institute of Surveying and Planning for Land Resources and Housing, Chongqing 400020, China;4. National University of Singapore, Department of Geography, Singapore 117570, Singapore;5. Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China;1. Plymouth Marine Laboratory, Prospect Place, The Hoe, Plymouth PL1 3DH, UK;2. College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China;1. CSIR, Natural Resources and Environment, Ecosystem Earth Observation, Box 395, Pretoria 0001, South Africa;2. Faculty of ITC, University of Twente, Box 217, 7500 AA Enschede, The Netherlands;3. Department of Biology, University of Leicester, University Road, Leicester LE1 7RH, England, United Kingdom
Abstract:Water transparency is one of the ecological indicators for describing water quality and the underwater light field which determines its productivity. In the European Water Framework Directive (WFD) as well as in the European Marine Strategy Framework Directive (MSFD) water transparency is used for ecological status classification of inland, coastal and open sea waters and it is regarded as an indicator for eutrophication in Baltic Sea management (HELCOM, 2007). We developed and compared different empirical and semi-analytical algorithms for lakes and coastal Nordic waters to retrieve Secchi depth (ZSD) from remote sensing data (MERIS, 300 m resolution). The algorithms were developed in water bodies with high coloured dissolved organic matter absorption (aCDOM(442) ranging 1.7–4.0 m−1), Chl a concentration (0.5–73 mg m−3) and total suspended matter (0.7–37.5 g m−3) and validated against an independent data set over inland and coastal waters (0.6 m < ZSD < 14.8 m). The results indicate that for empirical algorithms, using longer wavelengths in the visible spectrum as a reference band decreases the RMSE and increases the coefficient of determination (R2). The accuracy increased (R2 = 0.75, RMSE = 1.33 m, n = 134) when ZSD was retrieved via an empirical relationship between ZSD and Kd(490). The best agreement with in situ data was attained when ZSD was calculated via both the diffuse and the beam attenuation coefficient (R2 = 0.89, RMSE = 0.77 m, n = 89). The results demonstrate that transparency can be retrieved with high accuracy over various optical water types by the means of ocean color remote sensing, improving both the spatial and temporal coverage. The satellite derived ZSD product could be therefore used as an additional source of information for WFD and MSFD reporting purposes.
Keywords:Secchi depth  ENVISAT/MERIS  Sentinel-3/OLCI  Lakes  Optically complex waters  Water framework directive  Environmental monitoring
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