openEO Platform

Another milestone unlocked! 🎉 Say hello to another new feature of the openEO API: Workspaces!   📤 What’s New? Workspaces are an abstraction of object-storage technology such as s3 or Azure Blob Storage. Now you can have more control over where your results are saved and where your data is loaded from. 🔗 How It Works: 1️⃣ Register or provision a workspace. 2️⃣ Export your results to it. 3️⃣ Load previous results from workspaces using STAC.   Find the documentation here ➡️ https://lnkd.in/dvUTd5W8

We're happy to announce a new feature in the openEO Platform Editor: Result Sharing! 🎉 📤 What’s New? Now, you can effortlessly share your processing results with colleagues, collaborators, or the world using a simple URL.   🔗 How It Works: 1️⃣ Share your results via a unique link. 2️⃣ Recipients can visualize the data on an interactive map. 🗺️ 3️⃣ Dive deeper by inspecting metadata for detailed insights. 🧐 4️⃣ Need the data? Download it instantly. 💾 Collaboration has never been easier on openEO Platform — whether you’re working on cutting-edge research, analyzing Earth Observation data, or showcasing your latest processing workflows! 🌍✨ Try it now and experience the simplicity of sharing on the openEO Platform at https://lnkd.in/dNw_Nt-B

𝐄𝐱𝐜𝐢𝐭𝐢𝐧𝐠 𝐧𝐞𝐰𝐬! 🎉🎉 𝐘𝐨𝐮 𝐜𝐚𝐧 𝐧𝐨𝐰 𝐜𝐨𝐦𝐩𝐮𝐭𝐞 𝐒𝐞𝐧𝐭𝐢𝐧𝐞𝐥-𝟐 𝐋𝐞𝐯𝐞𝐥-𝟐𝐅 𝐚𝐧𝐝 𝐋𝐞𝐯𝐞𝐥-𝟐𝐇 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐰𝐢𝐭𝐡 #𝐎𝐩𝐞𝐧𝐄𝐎. These are created with the #Sen2Like processor, which was developed by European Space Agency - ESA as a part of the EU #Copernicus program, to harmonize (L2H) and fuse (L2F) Sentinel-2 Level-1C and Landsat 8/9 data. The harmonization/fusion contains the upscaling of the #Landsat data to the resolution of the Sentinel-2 data and creates a fused surface reflectance (see below), which can be used to calculate various indices, for example. You can find the full documentation on how to use the Sen2Like processor here: ➡️https://lnkd.in/dhAiRPq8

🌳🌲Forests play an essential role in our ecosystem and getting a quantitative measurement on the forest cover is essential for various applications. Higher canopy covers regard for dense forests or other complex ecosystems while lower canopy cover means the presence of grasslands and less sparse vegetation. With #𝐨𝐩𝐞𝐧𝐄𝐎 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 you 𝐜𝐚𝐧 𝐧𝐨𝐰 𝐩𝐫𝐞𝐝𝐢𝐜𝐭 𝐭𝐡𝐞 𝐟𝐫𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐚𝐧𝐨𝐩𝐲 𝐜𝐨𝐯𝐞𝐫 (𝐅𝐂𝐂) using Sentinel-1 and Sentinel-2 in a random forest regression approach from very high-resolution (VHR) data acquired from the Planet Scope satellite constellation. Read more ➡️ https://lnkd.in/dnhc4CFz

❗Attention! ❗ You can now use #openEO Platform to compute maximum flood extents from the Global Flood Monitoring #GFM service of EU's #Copernicus Emergency Management Service. Give it a try and search for your area of interest! See here documentation of #Pakistan #flood including affected settlements ➡ https://lnkd.in/g6Tv3vp5

In collaboration with Planetek Italia, we have successfully executed another use case on the openEO Platform. This functionality enables the execution of an openEO process graph that executes a vessel detection by applying thresholding techniques to 𝗦𝗘𝗡𝗧𝗜𝗡𝗘𝗟𝟭_𝗚𝗥𝗗 𝗶𝗺𝗮𝗴𝗲𝗿𝘆. Our validation process involved comparing the outputs to 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 (𝗔𝗜𝗦) 𝗱𝗮𝘁𝗮, which yielded positive results. Furthermore, users now have the option to utilize adaptive thresholding functionality for enhanced vessel detection. This versatile approach can be extended to other datasets, offering valuable benefits to our users. 👏 A big thanks to Sean Hoyal for the major contribution to the implementation!