Abstract
Monitoring inland water quality through remote sensing is an alternative method. Broad remote sensing image coverage has the potential to increase the scope of monitoring. Remote sensing imagery is very suitable for monitoring in the Riam Kanan Reservoir which has a normal water level of 3200 Ha. Community activities for fisheries and tourism have the potential to increase nutrients and water fertility. The impact is in the form of an explosion of algal micro population which has a negative effect on the aquatic ecosystem and the surrounding population. Landsat 8 OLI was used in this study to determine the level of chlorophyll-a content in reservoir waters. Empirical modeling is a method for modeling the distribution of chlorophyll-a content utilizing the results of field measurements. Through this method also can be known which spectral band has an influence in monitoring the chlorophyll-a so that it can be seen the level of water fertility in the Riam Kanan reservoir.
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