Abstract
This paper analyses an opportunity to integrate remote sensing data in a forecastingscheme of river inflow to the Krasnodar reservoir. MODIS MOD10A2 eight-day compositesnow cover data was selected as the basic remote sensing information. Based on these data,a database which consists of maximal snow extent maps covering the Kuban river basinover the period from March 2000 to the present, along with the technique of operativemonitoring of the maximal snow covered area for the main basins of the rivers flowing intothe Krasnodar reservoir were developed. It was revealed that the snow cover distributiondata could be useful in the prediction of flooding in the basin. In addition, the SnowmeltRunoff model, application of which is based on snow cover remote sensing data as theinput information, was tested as a short-term forecasting model. The obtainedresults enable us to conclude that the model can be used for short-term runoffforecasts in the mountain and foothill areas of the Krasnodar reservoir basin.
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