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Birdseye Ai
Melrose, MA

About the Artist

The team at Birdseye.ai enhances satellite imagery to create unique, colorful wall art and large-scale photography. The cofounders have a background in geospatial data analysis, and have broad experience using the tools of this field for research in multiple commercial sectors.
When analyzing satellite data for technical projects, the team couldn’t help but notice the stunning aesthetic detail of the natural world: the contours of coastlines, the hues of deserts, or the lattice of urban centers. But beyond landscapes made famous through natural features, they also found that the underlying…

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About the Artist

The team at Birdseye.ai enhances satellite imagery to create unique, colorful wall art and large-scale photography. The cofounders have a background in geospatial data analysis, and have broad experience using the tools of this field for research in multiple commercial sectors.
When analyzing satellite data for technical projects, the team couldn’t help but notice the stunning aesthetic detail of the natural world: the contours of coastlines, the hues of deserts, or the lattice of urban centers. But beyond landscapes made famous through natural features, they also found that the underlying technical data of various terrains, when layered on top of unfiltered satellite snapshots, created beautiful, mesmerizing, and thought-provoking images of once familiar places.

At the moment, the focus is depicting landscapes and cityscapes from across the US. Some images may be a bit unconventional, and slightly abstract, but they highlight the way that tools used for scientific modeling and statistical analyses can create rich, artistic, visual experiences.

For those interested in the technical details of the Birdseye.ai approach: The baseline raw satellite data used is publicly available from various regional and national government entities, and is, at best, 0.3 to 0.5m resolution. When images are enhanced, a variety of analytical algorithms are employed to detect different features in the underlying data and highlight them in aesthetically interesting ways. Some of these tools are specific to geospatial analysis, while other tools are from adjacent fields (e.g., facial recognition algorithms). In both cases, the tools are used creatively in ways atypical for their intended purpose.

There are two interconnected methodologies central to image creation. First, there is a creative sampling of red, green, blue, and near-infrared bands, and also look for aesthetically interesting ways to emphasize focal transformations in the data (e.g., adjusting the line features that show up, or evaluating local statistical moments like the mean, variance, skewness, or kurtosis at various bandwidths in count of cells). Second, there is a focus on visual features derived from upsampling and downsampling spectral indices that show the relative abundance of features of interest. In particular, there is an emphasis on how adjustments to the NDVI (normalized difference vegetation index) can show the contrast between different natural features and human-built areas. Finally, on top of these, there is an interest in seeing how line detection, hillshading, and shadow removal algorithms can reveal interesting characteristics or make the already-enhanced images more intriguing.

Artist’s Work

Boston ma black white
Birdseye ai

Boston, MA - Black + White

By Birdseye Ai

Boston ma blue white
Birdseye ai

Boston, MA - Blue + White

By Birdseye Ai

Chicago il blue white
Birdseye ai

Chicago, IL - Blue + White

By Birdseye Ai

Boston ma white black
Birdseye ai

Boston, MA - White + Black

By Birdseye Ai

Boston ma multicolor
Birdseye ai

Boston, MA - Multicolor

By Birdseye Ai

Chicago il red white
Birdseye ai

Chicago, IL - Red + White

By Birdseye Ai