Validation of MERIS Case-2 Water Products in Lake Taihu, China
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AbstractThree artificial neural network (ANN) processors available as plug-in modules for the Basic ERS & ENVISAT (A) ATSR and MERIS Toolbox (BEAM) were validated in Lake Taihu, China. Mean deviations of reflectance derived from Lakes\Boreal and Lakes\Eutrophic were 10-90%, while reflectance from the -FUB-WeW processor showed larger errors. All processors showed underestimates of chlorophyll a (Chl-a), total suspended matter (TSM), and phytoplankton pigment absorption, while particulate scattering values were severely overestimated. None of the readily available MERIS processors is currently able to separate atmospheric and water-leaving radiance over Lake Taihu, while the retrieval of phytoplankton biomass through ANN processors shows promise.
All Author(s) ListDuan HT, Ma RH, Simis SGH, Zhang YZ
Journal nameGIScience and Remote Sensing
Volume Number49
Issue Number6
PublisherTaylor & Francis: STM, Behavioural Science and Public Health Titles
Pages873 - 894
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesGeography, Physical; GEOGRAPHY, PHYSICAL; Physical Geography; Remote Sensing; REMOTE SENSING

Last updated on 2021-07-06 at 00:28