Tarasov, MikhailShinkareva, GalinaTutubalina, OlgaLychagin, MikhailConstantin, DragosRehak, MartinAkhtman, YosefMerminod, BertrandTofield-Pasche, NatachaChalov, SergeySlipenchuk, Mikhail2015-05-062015-05-062015-05-062015https://infoscience.epfl.ch/handle/20.500.14299/113725The Leman-Baikal project is an international Swiss-Russian research initiative in the fields of physical limnology, geochemistry and hydrology of aquatic geosystems. The main methodological principle of the project is constituted by simultaneous collection of airborne wide-area Hyperspectral Imaging (HSI) and ground point-based data. In this study we used supervised classification of hyperspectral images to interpret three types of aquatic species: small yellow pond lily, reed and pondweeds with watermilfoil. For turbidity mapping we used mosaic hyperspectral image (band 534 nm) to derive Total Suspended Matter (TSM). A good level of correlation between reflectance values and TSM concentrations were observed.ULMhyperspectralremote sensingwater qualityultralightBaikalInvestigation of heavy metals distribution in suspended matter and macrophytes of the Selenga river delta using airborne hyperspectral remote sensingtext::conference output::conference poster not in proceedings