It was a pleasure to see @LubejMatic presenting QueryPlanet/UrbanAI to advance EO with ML tools at #LPS2019 #eolearn @esa @ESA_EO @sinergise @VisionImpulse @developmentseed

#QueryPlanet kick-off meeting at @esa Φ-lab, together with @developmentseed, discussing how to connect various #MachineLearning tools with #Sentinel data in order to establish an always up-to-date database about our planet.

📢 Releasing & open-sourcing #HIECTOR - hierarchical object detection for processing #satellite 🛰️ imagery at scale. Learn how to scale building detection to large areas cost-efficiently. ➡️ https://t.co/kLpJEn72jR HIECTOR was developed under #QueryPlanet, funded by @ESA #Philab.

☝️ See you tomorrow at our #webinar when we will share more about the setup and execution of the use-cases developed as part of the #QueryPlanet project. These use-cases build on the #SentinelHub service and the open-source #eolearn library. Register! ➡️ https://t.co/UpkIb82L49

🔵 Our next #webinar will introduce #QueryPlanet, @ESA-funded project that facilitates the use of AI algorithms to build large-scale EO apps. The use-cases tackle EO challenges, building on #SentinelHub and #eolearn. 🗓️ March 24 ⏲️ 14:00 CET 🎯 Register ➡️ https://t.co/zJmGrdXCx4

Come by to say hi 👋 to #HIECTOR and us at poster session today ⏲️ at 17:00 at #LPS22 📌 location 131. @matejbatic and @DPeressutti are expecting you. See you in a bit. 😀 https://t.co/LB8yutljZG #QueryPlanet #remotesensing #deeplearning #machinelearning #objectdetection

Are you interested in how we've built a solution for large-scale forest monitoring using Sentinel-2 imagery and machine learning? Join the webinar to see @benjaminbischke introducing our pan-European forest type mapping, developed within #QueryPlanet, an ESA-funded project.

Work kindly funded by @esa Phi-lab as part of the QueryPlanet consortium with @sentinelhub :)

Join the first #webinar which will provide an overview of the use-cases developed, namely super-resolution technology for optical sensors, forest and tree species mapping of Europe, and efficient object detection at scale. #QueryPlanet

With many thanks to @esa, its Φ-lab, Pierre Philippe Mathieu and Nicolas Longepe for their support and belief in this project, Grega Milcinski (@sinergise) and @sentinel_hub for taking us on board QueryPlanet. 🧵7/9

☝️ Join us this Thursday to learn more about the use of AI algorithms for building large-scale EO applications using #Sentinel-2 & commercial data sources! Together with our partners, we will provide an overview of the developed use-cases within the #QueryPlanet project.👀 you 🔜

For each use-case we will outline technical details and the created open-sourced material, e.g. data, code, models, which will be described more in detail in the second hands-on webinar. ℹ️ For more details visit our webinars page ➡️ https://t.co/2xDWofaHtF #QueryPlanet

@_VincentS_ We envy @developmentseed ! We hope you will at least work on the #QueryPlanet project, that we have in common. Drew, can you make this happen?

RT @sentinel_hub: @_VincentS_ We envy @developmentseed ! We hope you will at least work on the #QueryPlanet project, that we have in common. Drew, can you make this happen?

Watch introductory webinar ▶️ https://t.co/6gEJqxAVbH & join us for the 2nd live #webinar dedicated to #QueryPlanet, @ESA #PhiLab supported project which aims to facilitate the use of #AI algorithms to build large-scale #EO apps. 🗓️ April 7 🎯 Register 👉 https://t.co/UpkIb82L49

Read about pushing ML in EO to the next level, a blog post about results of our #QueryPlanet project, together with @developmentseed, @VisionImpulse, @EO_OPEN_SCIENCE, @ESA_EO and @AWS_Gov. https://t.co/aa90keCqyn