Last week Planet engineers helped organize the Analysis Ready Data (ARD) Research Workshop in Menlo Park, California, an event where great minds met to tackle the burning topic of how to make ARD operational in 2019. The event’s purpose was to educate and create collaborations across various industries, including data analytics providers, researchers, EO data providers, NGOs, and government agencies like USGS, ESA and NASA.
Gopal Erinjippurath, Planet’s senior director of analytics engineering, moderated a panel on ML-ready ARD. The panel was an effort to better understand what constitutes readiness of ARD for ML-based applications and get various experts to weigh in, as Erinjippurath explains in a recent article.
“Historically, there was insufficient cross-pollination between computer vision practitioners and remote sensing scientists,” Erinjippurath says. “But in recent years they’ve been coming together to drive massive growth in scaled deep-learning powered computer vision capabilities, which is vital to innovation in analytics for remote sensing data.”
ARD is a loose term to define a type of imagery that is pre-processed so that users can do analysis on it; it should not require a lot of work from users on the back-end to process the imagery themselves, says Chris Holmes in his explanatory ...