During pre-processing, Satellogic imagery is optimized for analysis by Machine Learning (“ML”) and Artificial Intelligence (“AI”) applications — a significant benefit for UP42 users who will have access to more than 75 ML/AI algorithms on the UP
Satellogic Inc. provider of sub-meter resolution Earth Observation (“EO”) data collection, has entered into an agreement with UP42, a geospatial developer platform and marketplace enabling direct access to Satellogic’s satellite tasking high-resolution multispectral and wide-area hyperspectral imagery via the UP42 API-based platform. The agreement includes the archive of high-frequency, high-resolution Satellogic data.
The companies made the announcement at the Geospatial World Forum in Amsterdam, Netherlands, where UP42 CEO Sean Wiid and Satellogic Business Development & Sales Director Eldridge de Melo are featured speakers
“This exciting new collaboration gives UP42 customers a distinct advantage in rapidly creating geospatial solutions,” said UP42’s CEO Sean Wiid. “Users can now derive insights from Satellogic data using algorithms and data fusion via our developer-first platform.”
Direct API access to Satellogic’s multi- and hyperspectral-data — with intraday updates — supports rapid, timely and frequent monitoring of critical assets in diverse sectors, such as energy, utilities, local government, and security. The UP42 platform’s REST API and Python SDKs can be fully customized, allowing UP42 users to build cost-effective solutions and quickly deliver end products to their clients.
“Our mission of democratizing access to critical Earth Observation data means making our data available where it’s convenient for end users,” said Thomas VanMatre, VP of Global Business Development at Satellogic. “UP42 is a leading geospatial marketplace with value-added capabilities, enabling its customers to access and analyze data without extensive expertise. It is collaborations like this alliance with UP42 that will increase adoption of EO data across new markets, driving better decision making and outcomes.”
The growing Satellogic constellation currently consists of 22 operational small satellites, capable of acquiring 4-band (RGB NIR) multispectral data at 70 cm (1m native) spatial resolution over a 5km swath and up to 29-band (460-830nm) hyperspectral imagery at 25m resolution over a 125km swath.
During pre-processing, Satellogic imagery is optimized for analysis by Machine Learning (“ML”) and Artificial Intelligence (“AI”) applications — a significant benefit for UP42 users who will have access to more than 75 ML/AI algorithms on the UP42 platform.
UP42 users will be able to apply Satellogic data sets and extracted knowledge to support projects in a range of applications spanning the public and private sectors, including Agriculture and Forestry, Energy and Sustainability, Critical Infrastructure Management, Finance and Insurance, Environment and Climate, and Government.
