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New algorithm fuses quality and quantity in satellite imagery

04 June 2018

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Using a new algorithm, University of Illinois researchers may have found the solution to an age-old dilemma plaguing satellite imagery – whether to sacrifice high spatial resolution in the interest of generating images more frequently, or vice versa. The team's new tool eliminates this trade-off by fusing high-resolution and high-frequency satellite data into one integrated product, and can generate 30-meter daily continuous images going back to the year 2000.

Monitoring of agriculture, urban development, environmental quality, and economic development are just a few ways people make use of satellite data. The new algorithm is generic enough for use in virtually any application.

Source: ACES

Image credit: ACES - Kaiyu Guan, Yunan Luo and Jian Peng