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The Global warming effect has had negative impacts on water resources in Zimbabwe due to erratic rainfall patterns. The overall effect leads to reduction in power generation on hydropower stations as a result of low water levels. Water level monitoring at hydro power generation reservoirs is thus of utmost importance. Currently employed in situ based water level monitoring techniques are less efficient and do not provide the synoptic coverage of the lake. We present the relationship between factors (natural and anthropogenic) affecting water levels and the measured water levels. The factors were derived from remote sensed data. To ascertain the most significant factors contributing to water level and electricity generation fluctuations, correlation and regression were used. The regression models generated were used to design an application. The application automated the processing satellite imagery. From the automated extraction of rainfall data and land use/cover classification water level monitoring was achieved.

A remote sensing and GIS based application for monitoring water levels at Kariba dam.