The Moderate Resolution Imaging Spectroradiometer (MODIS) employed by Terraand Aqua satellites provides spatially snow covered data with 500 m anddaily temporal resolution. It delivers public domain data in raster format.The main disadvantage of the MODIS sensor is that it is unable to recordobservations under cloud covered regions. This is why this study focuses onestimating the pixel cover for cloud covered areas where no information isavailable. Our step to this product involves employing methodology based onsix successive steps that estimate the pixel cover using different temporaland spatial information. The study was carried out for the Kokcha Riverbasin located in northeastern part of Afghanistan. Snow coverage incatchments, like Kokcha, is very important where the melt-water from snowdominates the river discharge in vegetation period for irrigation purposes.Since no snow related observations were available from the region, theperformance of the proposed methodology was tested using the cloud generatedMODIS snow cover data as possible "ground truth" information. The resultsshow successful performances arising from the methods applied, whichresulted in all cloud coverage being removed. A validation was carried outfor all subsequent steps, to be outlined below, where each step removesprogressively more cloud coverage. Steps 2 to 5 (step 1 was not validated)performed very well with an average accuracy of between 90–96%, whenapplied one after another for the selected valid days in this study. Thesixth step was the least accurate at 78%, but it led to the removal ofall remaining cloud cover.
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