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  • New algorithm fuses quality and quantity in satellite imagery

    Professor Kaiyu Guan, left, graduate student Yunan Luo and professor Jian Peng have developed a new algorithm that solves an age-old dilemma plaguing satellite imagery  whether to sacrifice high spatial resolution in the interest of generating images more frequently, or vice versa. Their algorithm can generate daily continuous images going back to the year 2000.

    Professor Kaiyu Guan, left, graduate student Yunan Luo and professor Jian Peng have developed a new algorithm that solves an age-old dilemma plaguing satellite imagery – whether to sacrifice high spatial resolution in the interest of generating images more frequently, or vice versa. Their algorithm can generate daily continuous images going back to the year 2000.

    Photo by L. Brian Stauffer

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  • To reach Kaiyu Guan, call 217-300-2690; kaiyug@illinois.edu.

    To reach Jian Peng, call 217-300-2825; jianpeng@illinois.edu.

    The paper “STAIR: A generic and fully-automated method to fuse multiple sources of optical satellite data to generate a high-resolution, daily and cloud-/gap-free surface reflectance product” is available online and from the U. of I. News Bureau

    DOI: 10.1016/j.rse.2018.04.042