In the last newsletter, we announced that Sentinel Hub is becoming part of Planet Insights Platform, combining daily imaging capabilities from Planet with the advanced image processing capabilities of Sentinel Hub. We are building this platform in order to make Earth observation data more accessible and scalable so that you can build durable workflows, solutions, and products that leverage these unique datasets.

We’ve already begun to see amazing stories from our users, from building sustainable agriculture solutions that minimize nitrogen inputs, to modernizing national agricultural subsidy programs in the United Kingdom, The Netherlands and around the world. In the coming months, we have many more updates coming that we are excited to share with you, so make sure that you are subscribed to receive news from Planet to stay up-to-date on the latest!

Catch up on the latest developments in data processing with Sentinel Hub Batch Processing V2! Launched in September, this enhanced Batch API allows you to streamline large-scale data requests over extended areas and timeframes, increasing efficiency while saving processing units. With Batch Processing V2, you can automate the processing of large datasets, schedule jobs for optimal resource use and easily manage tasks via a user-friendly dashboard. Find out more about the new features, improvements over V1 and additional resources to improve your data processing in our forum post!

For fans of non-commercial satellite images, there is a new place to go: the Copernicus Browser! This public, global satellite image viewer offers all the familiar features of the Sentinel Hub EO Browser, but with higher free permanent quotas, access to analysis-ready mosaic datasets and many additional data collections from the Copernicus family—perfect for exploration and analysis. Transitioning from EO Browser is a breeze; you can even take your favorite pin collections with you! Check out our guide to getting started with Copernicus Browser and see what’s new.

Planet’s data offering includes imagery from PlanetScope, SkySat, soon from the Tanager and Pelican satellites, along with Planetary Variables like Soil Water Content, Land Surface Temperature, Crop Biomass, Forest Carbon Diligence, Planet Basemaps, and the newly added Road and Building Detection.

Planet Sandbox Data includes diverse samples of PlanetScope, Analysis-Ready PlanetScope, SkySat, Planetary Variables and Basemaps covering hundreds of locations worldwide and matching WorldStrat locations. This extensive dataset allows users to explore, build and test models across different landscapes and use cases. Data is made available under a CC-BY-NC license to all active Planet users and Sentinel Hub users with a paid subscription and all 30-day trial users. Start exploring it in EO Browser, then try building models on top of it.

Unlock the secrets of smarter crop management with Growing Degree Days (GDD)! By understanding how temperature influences crop growth, you can optimize your growing practices and accurately predict key growing stages. Our blog post looks at the basics of calculating GDD - also known as thermal time - using Planet Land Surface Temperature data. Discover how you can improve your growth modeling, track crop development and make data-driven decisions that lead to higher yields and greater efficiency. Read the full article to get started!

The Copernicus Data Space Ecosystem is changing as it grows: it remains the authoritative source of raw Sentinel satellite data, but analysis-ready products have been added at various levels. You can now access machine learning-ready image datasets, such as Sentinel-2 Cloudless Quarterly Mosaics and Sentinel-1 Monthly Mosaics, but also calibrated biophysical datasets, such as Sentinel-3 OLCI Level 2 Land and Ocean data, and downstream products of Copernicus Monitoring Services such as Vegetation Phenology and Snow and Ice products. We also look forward to publishing the next edition of the STAC Catalog soon.

Copernicus Browser is becoming a popular educational tool that allows students around the world to explore the Planet using satellite imagery. Our YouTube channel has also grown significantly with webinars, tutorials and introductory videos. Don’t miss our next webinar on 11 December 2024 to learn how you can use Sentinel-1 SAR data to monitor ship traffic through the clouds and even estimate the speed of fast-moving vessels. Register here!

One of the activities in the AgriDataValue project was to investigate how filtering cloud shadows improves the quality of the input data. Cloud shadows can be a major nuisance when processing satellite data, as they are more difficult to detect than the clouds that cast them. We approached this problem by projecting cloud masks onto the Earth's surface using an estimated average cloud height in the Sentinel-2 L1C scene. For validation, we used the CESBIO active learning reference data and even compared the results with the Sen2Cor Scene Classification map. Read our blog post for more details!

November 26-28

November 27-29

December 11

Feel free to send us your feedback via the Forum or social media. We look forward to hearing from you.

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Sentinel Hub is a geospatial developer platform for EO data, a part of Planet Labs.

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