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Our bloggers have been especially busy this past quarter, covering a variety of topics including the most common EO misconceptions, urban area detection, and the exciting openEO Platform! Also, in this spring issue, learn more about the new edition of our Sentinel Hub Custom Script Contest focused on climate change, support for Landsat 9 and PlanetScope Monitoring products, Query Planet webinars, and more.



 

Sentinel Hub Custom Script Contest

Participate in the new special edition - Climate Change

This edition of the Sentinel Hub Custom Script Contest is organized in partnership with the European Space Agency (ESA) and the World Meteorological Organization. The goal of this activity is to demonstrate the power of Earth Observation (EO) data in detecting the effects of climate change. You can participate until June 30, 2022, by submitting a custom script or writing a story focused on how to communicate climate change using EO data. See our official contest page for details!

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Landsat 9 Data Available

The Landsat 9 satellite is equipped with the new OLI-2 and TIRS-2 instruments. Both are improved versions of the instruments aboard Landsat 8, providing higher radiometric resolution, better atmospheric correction, and more accurate surface temperature measurements. Because the data is similar to those from Landsat 8, the data provider USGS combined them, and so did we. Levels 1 and 2 are now available in the landsat-ot-l1 and landsat-ot-l2 collections, respectively.

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Next Generation of PlanetScope Monitoring Products Support

PSScene and 8-band products at your fingertips

Sentinel Hub now supports the next generation of PlanetScope Monitoring products with eight spectral bands and new, higher-quality products. Read more about the key differences, such as harmonization of surface reflectance products with Sentinel-2 values and others, in our forum post. We recommend you start using PSScene, as PSScene4Band will be deprecated by Planet in January 2023. However, BYOC collections already imported will continue to work normally. See our documentation on PSScene to learn more.


 

The most misunderstood words in Earth Observation

Have you ever been confused about how spatial resolution is specified and used in optical satellite imagery? Our research team wrote a blog post to understand how and why the term is often misused. They took a look at how the imagery is acquired and tried to find the source of most misunderstandings. Read it to learn how to estimate spatial resolution from images and why you shouldn't report pixel size as a proxy for spatial resolution when working with super-resolution.

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Download Third-Party Data

Third-party data purchased through Sentinel Hub and associated metadata can now be downloaded in the original format as delivered by the data provider. See how you can download them through our Sentinel Hub Dashboard or with the API. For each completed delivery of an order or subscription, you can list the files delivered by the data provider, download individual files, request the creation of a zip archive containing all the data and metadata of the delivery, and download the archive once it is created.


 

How to train a binary classifier for built-up areas

Identify artificial surfaces and up your earth-observation game

Identifying built-up areas using satellite imagery and machine learning makes an important contribution to the study of our impact to the environment, security and land administration. Learn how to leverage publicly available data and the amazing capabilities of Sentinel Hub to train your own binary classifier for built-up area detection, as we did in our built-up use-case as part of the Global Earth Monitor project. Read our blog post for details.

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SampleType: What's all the fuss about?

AUTO, UINT8, UINT16, FLOAT32… Strategically set the SampleType for Sentinel Hub requests

When requesting satellite data through Sentinel Hub's APIs, the sampleType parameter can drastically change the data returned. In this blog post, we show you how to master this setting for even more efficient processing. We also share a few optimization tips and tricks to save on processing units and disk space.

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Euro Data Cube Update

BYOA - Bring Your Own Algorithm

c9246288-4f4c-11e9-a3c9-06b79b628af2%2F1624350990955-EDC_symbol_blue.pngDid you know you can add your own EO algorithm to the EDC platform? You can even put a price to your solution using your own pricing model. We have onboarded a simple mean NDVI algorithm as an example and explained all the steps required to do so in our newest blog post. Check it out and share your solutions with the world! Bring Your Own Algorithm (BYOA) allows users to access useful algorithms with just a few clicks.

With BYOA, you can access useful algorithms with just a few clicks. Each onboarded algorithm provides unique, easily accessible value to everyone in the EO community. So we can't wait to see your contributions!


 

openEO Platform

Project update

c9246288-4f4c-11e9-a3c9-06b79b628af2%2F1637756198869-openEO-logo.pngWe are currently preparing the platform to support two additional use cases: the ability to create a (European) dynamic land cover classification and the generation of fractional canopy cover maps based on regression models. In addition to improving the capabilities of the platform, we are preparing for the ESA Living Planet Symposium (LPS) in May, where we will participate with the openEO Platform team in different activities. You can read about both (the use cases and our participation in the LPS) in detail in our recent blog post. There you will also learn more about recent developments, interesting new approaches we have been pursuing, and get an outlook on the next months.

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The federated structure behind openEO Platform will soon be enriched with another processing backend: Sentinel Hub. This will not only increase the number of collections available, but also improve capabilities and increase redundancy.


 

Automated Agricultural Field Delineation Tool

We are pleased to share the recording of our Automated Agricultural Field Delineation Tool webinar, which we held live in March, showcasing the tool developed as part of the NIVA H2020 project. While our previous webinars have shown you how to best use the Sentinel Hub APIs and tools, this webinar focuses on use cases, specifically how you can leverage Sentinel Hub and machine learning to develop modern agricultural monitoring applications. Tune in to learn more!

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Also check out the recordings of our previous webinars on EO Browser, OGC API with QGIS Integration, Sentinel Hub Process API, Commercial Data in Sentinel Hub, Custom Scripts, Multi-Temporal Scripts and Data Fusion, Batch Processing API, Bring Your Own Data, Statistical API and more. Visit our Youtube Webinar Channel!


 

Webinars: Query Planet - AI for EO at scale

Watch the recording of the introductory webinar and join the second live webinar dedicated to Query Planet, an ESA-funded and PhiLab-supported project that aims to facilitate the use of Artificial Intelligence (AI) algorithms to build large-scale EO applications exploiting Sentinel-2 and commercial data sources. The goal of the project is to create open-source AI solutions that tackle state-of-the-art and compelling EO challenges. These use-cases build on the Sentinel Hub service and the open-source eo-learn library.

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Join us on Thursday, April 7, 2022 at 14:00 CET (13:00 UTC) as we share more about the setup and execution of the use-cases developed as part of the project. Reserve your spot!


 

2022 Living Planet Symposium

Join our presentations, workshops and poster sessions!

We look forward to meeting you at the European Space Agency’s Living Planet Symposium on 23–27 May 2022 in Bonn, Germany. As part of the symposium, we will be giving several talks and participating in poster sessions. See the list of our presentations and visit the LPS22's programme for more details. Stay tuned for more information about the Euro Data Cube workshop and demo sessions. Dates will be announced in the coming weeks.

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Upcoming Events

Mark your calendars for our presentations at the following events:

April 7
May 23-27

 

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

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