Możliwości teledetekcyjnego monitorowania zawartości chlorofilu-a w wodach śródlądowych

The variety of satellite data accessible at present gives the wide possibilities for the surface waters quality monitoring in case of size of monitored area (the size of satellite scene), possibility of obtaining the different water quality parameters (different spectral bands) and the precision of spatial distribution those parameters (pixel size). The chlorophyll-a, basic hydrobiological parameter, is the main index of the phytoplankton content in water. Remote sensing monitoring of chlorophyll-a concentration in case of sea and oceanic waters has been made for many years. Many computational formulae in reference to inland waters was elaborated for individual lakes or the types of lakes, but there is no universal formula independent from kind of water basin. The article presents the part of results of study made from 2003 for two tested areas, the Mazurian lakes and the Vistula Lagoon. The elaboration of the processing methodology of the superspectral CHRIS satellite data for the inland waters quality assessment was the main aim of this study. at present gives the wide possibilities for the surface waters quality monitoring in case of size of monitored area (the size of satellite scene), possibility of obtaining the different water quality parameters (different spectral bands) and the precision of spatial distribution those parameters (pixel size). The chlorophyll-a, basic hydrobiological parameter, is the main index of the phytoplankton content in water. Remote sensing monitoring of chlorophyll-a concentration in case of sea and oceanic waters has been made for many years. Many computational formulae in reference to inland waters was elaborated for individual lakes or the types of lakes, but there is no universal formula independent from kind of water basin. The article presents the part of results of study made from 2003 for two tested areas, the Mazurian lakes and the Vistula Lagoon. The elaboration of the processing methodology of the superspectral CHRIS satellite data for the inland waters quality assessment was the main aim of this study.