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Optical Classification of Lakes for Remote Sensing Applications

Anu Reinart(1), Ilmar Ansko(1), Krista Alikas(1) and Kristi Valdmets(1)

(1) Tartu Observatory, Toravere, 61601, Estonia


Operational classification of lakes is often based on physical and chemical parameters. By remote sensing techniques some of the variables used in the classification can be measured (Chlorophyll, Secchi depth, turbidity, dissolve organic matter). Remote sensing offers advantages such as good spatial and temporal coverage for estimation changes in certain parameters. In order to study the usability of satellite sensors for lake water classification, we have compared optical classification of lakes based on the concentrations of three optically active substances (Chlorophyll, total suspended matter and dissolved organic matter) with classification based on remote sensing reflectance spectra. Analyses and examples are presented for applications of classification for different sensors: MERIS, MODIS, SeaWiFS, Hyperion, ALI, Landsat.


Workshop presentation

Keywords: ESA European Space Agency - Agence spatiale europeenne, observation de la terre, earth observation, satellite remote sensing, teledetection, geophysique, altimetrie, radar, chimique atmospherique, geophysics, altimetry, radar, atmospheric chemistry