SEASONAL WATER AVAILABILITY FORECASTING USING REMOTE SENSING-BASED SNOW COVER DATA
Keywords:
Seasonal snow cover, MODSNOW, Mountain river basin, MODIS, Cloud cover, Remote sensing, hydrological modellingAbstract
Nowadays, several remote sensing products exist that can be used to obtain information on snow. In this study, I am using Moderate Resolution Imaging Spectroradiometer (MODIS) snow cover data for water availability forecasting. The main advantage of the daily snow cover information based on remote sensing data is to monitor remote mountain rivers. Using the remote sensing snow cover, understanding of hydrological processes in remote areas can be assured. However, the MODIS snow cover data has a disadvantage of cloud cover. There is no snow cover information if the weather is cloud covered. In order to remove cloud cover, the MODSNOW- Tool (Gafurov et al., 2016) was used. With this, daily cloud-free snow cover data can be prepared for the Pskem River basin (Uzbekistan) over the past 19 years. This data can be used as a predictor to predict discharge in the river basin. The historical discharge data is available from hydrometeorological service of Uzbekistan that can be used for developing forecast models.
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