Analysis of MODIS Fractional Snow Cover (FSC) products during 2006 to 2007 snow seasons shows that the average cloud cover is above 50%. In the paper, an effective method based on similar pixel replacement by modified non-dominated sorting genetic algorithm (NSGA-II) is developed to solve the problem of cloud contamination. A cloud pixel is filled using an appropriate similar pixel within the remaining region of the image. We designed two experimental scheme based on “cloud hypothesis” and “actual” cloud cover during 2006 to 2007 snow seasons in Northern Xinjiang. Results show that the proposed method is qualified for cloud removal, with extremely well statistical accuracy in cloud hypothesis experimental verification, and there is also relatively high classification accuracy and consistency of MODIS derived Snow Covered Day (SCD) and In-situ observed SCD in actual experimental validation.
['Jinliang Hou', 'Chunlin Huang']
Cloud removal for MODIS Fractional Snow Cover products by similar pixel replacement guild with modified non-dominated sorting genetic algorithm