The phones in our pockets, drones in the air, satellites in space…what do they all have in common? They’re all distributed sensor networks—collecting streams of data about our daily lives, our businesses and our planet. We here at Planet have often said our satellite imagery, while insight-rich, will only reach its full potential when combined with other unique data streams and services. That’s why we’re excited to announce something that’s been a long time coming…the integration of Dove data into some of the consumer market’s most widely used remote sensing platforms…social media.
Now GIS experts, governments, nonprofits, and the public can combine Planet’s satellite data with the data sets that power their lives: social data.
Instagram—Easy Plug-and-Play Image Processing
Instagram devotees can use our simple, REST API to pull imagery into your instagram feed and apply built-in color curves.
Automatically pull the most recent Planet data into your app, and apply “Dove 1” vignetting
When you’re done processing your imagery, leverage the app’s built-in sequencing features to see granular change over time. Add ons like Boomerang are the perfect tool to visualize planetary change.
Left: Planetscope ortho tiles gain new life in an Instagram album. Right: Use Boomerang to walk back deforestation.
Tinder—”Date-a” Mapping for Singles
Geo-data can put the human relationships around us into sharper relief. In this demonstration, we’ve pulled dating profile data into Planet Explorer to create immersive, insight-driven data visualizations on the fly. Vacationing in Peru? See how many Tinder users are nearby during your day trip to Machu Picchu:
Plot singles in your area. Map profile pictures to Planet’s daily, monthly and quarterly Timelapse Basemaps.
Better yet: it’s now easier than ever to create user-friendly “map views” in any app. Scrape Tinder profiles for keywords that are unique and relevant to your interests and map them against Planet imagery. Here, we filter San Francisco by job title:
SnapChat—Fast and Easy Data Annotation & Transfer
Integration into Snapchat makes it easy to send geospatial data and analysis to colleagues and customers quickly and efficiently.
Train machine learning algorithms with our nine-year imagery archive to count ships in ports or monitor oil output across the globe. Leverage Snapchat’s unmatched computer vision technology and familiar filters to label large imagery datasets.
Earth observation analytics never have never looked cuter. Annotate and adorn economic indicators with familiar flower crowns and doggie ear filters
Members of our Application Developer Program can use their own computer vision techniques to find faces in our imagery and try them on using face swap.
After your hard work is done, it’s important to have a little fun, too. Face-swap with your favorite satellite imagery!
As more and more sensors come online, it’s imperative that the technology community explore every avenue for the next big data discovery. Just as GPS changed how we travel, we’re convinced that Geograpic-Social-Local-Mobile, or “GeoSoLoMo” integration will improve our everyday work streams, uncover new efficiencies, and (of course) keep us all on task.