Watch our webinars on EO Browser and how to visualize satellite imagery using custom scripts, multi-temporal scripts and data fusion:
Deepen your understanding of Sentinel Hub services and available APIs:
Learn from the experts in the field:
Our webinars focused on use cases, specifically how you can leverage Sentinel Hub and machine learning to develop modern agriculture monitoring applications:
See also our AMA session and visit Sentinel Hub forum for more answers.
Learn more about different topics related to Sentinel Hub. Participate in our live webinars, watch the previous webinars below or visit our webinar YouTube channel!
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Learn more about EO Browser - a web application free for non-commercial use, with satellite imagery browsing, analysis and download all in one place. The webinar was held live on April 15th 2021. Watch the webinar recording that covers the following topics:
For this introductory custom script webinar, held on September 24th 2020, no previous coding knowledge is required. We assume the viewers are familiar with the following concepts: satellite, electromagnetic spectrum, wavelength, satellite band, raster computation, spectral signature and RGB color. In case you are not familiar with these, please visit our Custom Script Tutorial PDF, pages 4 -10 (chapters 2.1 - 3.1), where you will find these concepts explained.
Tune into the recording of our latest webinar which will guide you through the creation of multi-temporal scripts and how to combine different EO data collections to create Data Fusion scripts. The webinar was held on February 25th 2021. General agenda:
The second live Sentinel Hub webinar was held on October 29th 2020. It dives into Sentinel Hub OGC API, looking at how OGC requests are structured, how to run them in different environments, such as Postman, Requests Builder and Python, and looks in depth at how to integrate them into QGIS. Details:
If you would like to learn more about the Sentinel Hub Process API, watch this webinar. It was held live on December 3rd 2020. General agenda:
The Commercial Data webinar was held live on January 14th 2021. It presents the availability of commercial data (Airbus Pleiades and SPOT, Planet PlanetScope and SkySat Archive, Maxar WorldView) in Sentinel Hub, and the Network of Resources, an ESA-sponsored Sentinel Hub accounts and access to commercial data available for research purposes and pre-commercial exploitation and validation. General agenda:
See our teaser here and dive into the recording of the webinar:
Learn how to integrate your own raster data into Sentinel Hub. Watch the recording of our live webinar which took place on December 9th, 2021. General agenda:
Have you ever wanted to process an entire country or even continent of, say, cloudless Sentinel-2 imagery? With the Batch Processing API you can process huge areas and longer time span with any visualization of your choice. If you missed our live webinar on 23rd June 2021 watch the recording. General agenda:
Since the batch processing API is only available to enterprise users, all attendees of our live webinar received a promo code to try it out. However, you can also get an ESA-sponsored account under the Network of Resources program for research purposes and pre-commercial use and validation.
Note that a basic understanding of the Sentinel Hub Processing API is recommended for this webinar. If you are not familiar with it, watch the Process API webinar. Read the blog post on batch processing and see how we processed the whole world with cloudless Sentinel-2 data in this blog post.
The Statistical API webinar was held on February 9th 2022. Dive in and learn how to calculate statistical information for your data. For a better understanding, we recommend that you first watch our webinars on Custom Scripts and the Process API. General agenda:
For this live event on February 27th 2023 we hosted Benjamin Kuo, a technology enthusiast, rose to fame in April 2021 when he used EO data to successfully geolocate a missing hiker who had gotten lost in the Angeles Forest, sending the search and rescue team to the right location, making it possible to get the hiker home safe and sound. The entire process took him less than 15 minutes. This was neither his first nor his last similar experience. Just about anyone can do this, with the use of openly accessible tools and data. Ben shared his experience and some funny stories to make it easier for you to do the same. General agenda:
Satellite data are extremely useful in monitoring wildfire activity, including in the Arctic. Predictions over a decade ago suggested a ‘fire invasion’ at higher latitudes. In this webinar held on April 6th 2023 we explored, whether and how this can actually be seen through the EO data. We discussed “zombie fires’ that seem to survive the winter in peat soils and re-emerge the next year to ignite new fires, as well as the missing parts of the current EO data offering to ensure consistent monitoring. Watch the webinar to learn about the role of climate change in the occurrence of these fires and how this process might further drive climate change.
The Arctic Wildfires topic was presented by our special guest Dr Thomas Smith, Associate Professor in Environmental Geography at the Department of Geography & Environment at the London School of Economics. Tom’s presentation is available here.
Satellite data has become an indispensable tool for journalists in gathering information on a variety of topics, including environmental issues, disasters and conflicts. In this webinar, we explored how remote sensing technology can be used to enhance reporting and provide valuable insights into stories that would otherwise be difficult to cover. Our expert Christoph Koettl talked about the latest developments in satellite technology and how it can be used for a range of journalistic applications. The webinar was held on May 25th 2023.
Christoph is a Visual Investigations journalist with the New York Times video team, specializing in the analysis of satellite imagery, video and other visual evidence. He is an expert on armed conflicts, human rights and social media verification. He was part of a team that won the 2022 Pulitzer Prize for international reporting for coverage of the civilian toll of U.S. air and drone strikes.
The increasing availability of satellite data has made it a fact-checking tool. Open Source Intelligence (OSINT) is information derived from openly available data such as online images and videos, vehicle tracking or remote sensing. OSINT can help verify or refute content from news outlets and social media to support truthful reporting on sensitive issues. In addition, OSINT is increasingly used in court cases related to war crimes and for a broader understanding of conflict situations. This webinar held on June 20th 2023 demonstrated the identification of time and location of events (geolocation and chronolocation) as an operation involving multiple sources of openly available information.
The topic was presented by our special guest Eliot Higgins, founder and creative director of Bellingcat. Bellingcat is an independent, investigative collective of researchers, investigators and citizen journalists that has become one of the best known OSINT organisations. The Bellingcat Team has won the „International News Media Organization of the Year” prize of the Society of Editors in 2022. The film Navalny, produced based on evidence uncovered by Bellingcat, has won the 2022 Academy Award for Best Documentary Feature.
How to use Earth Observation data to support communication and action for the environment? - Earth Observation allows anyone to engage with verified, real-time information on many environmental issues. Social media gives users such as non-governmental organizations (NGOs) the opportunity to reach many people with their messages. Crises on a global scale can be illustrated in a compelling way using images and time series of affected locations, supported by a wide range of visualization tools that do not require geo-information skills. At the local level, satellite imagery enables accurate quantification of the temporal and spatial extent of environmental change, which can be used as evidence in legal cases. In addition to the freely available imagery from the Sentinel and Landsat satellites, high-resolution commercial imagery from Planet is also available at an affordable price.
During this 30-minute webinar held live on December 12th 2023, the presenter Andras Zlinszky showed:
See also answers to your questions which we didn’t have time to answer during our live session.
In this webinar we introduced the automatic agricultural field delineation tool developed as part of the NIVA H2020 project. The webinar took place on March 3rd 2022. It focuses on use cases, specifically how you can leverage Sentinel Hub and machine learning to develop modern agriculture monitoring applications. In a hands-on session, we ran the tool in an interactive Jupyter Notebook. Python knowledge will help understanding the code, but is not a prerequisite. General agenda:
Webinars dedicated to Query Planet, an ESA-funded project supported by PhiLab that aims to facilitate the use of Artificial Intelligence (AI) algorithms to build large-scale Earth Observation applications exploiting Sentinel-2 and commercial data sources. The goal of the project is to create and 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.
The first webinar was held on March 24th 2022. We provided you with 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. For each use-case we outlined 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 mentioned above. Knowledge of machine learning and deep learning will help the understanding of the algorithms, although this is not a prerequisite. General agenda:
The second webinar, held on April 7th 2022, is a hands-on tutorial on how to set-up and run the use-cases developed as part of the project. For each use-case, a description of the required data and code was provided, as well as a demonstration of how to run the code. The use-cases were developed using the open-source eo-learn library and are available on the eo-learn-examples GitHub repository. Knowledge of Python, machine learning, and deep learning is helpful for understanding the code, although this is not a prerequisite. General agenda:
The Sentinel Hub webinar - Ask the Sentinel Hub Team - was held on October 28, 2021. To learn more about Earth Observation and Sentinel Hub tailored to your needs, this session had a slightly different format. Prior to the event, you were invited to watch a Short Course on Earth Observation Methods and Data and send us questions on various topics from EO and Sentinel Hub. During the live session, we first answered the questions received and then opened the opportunity to discuss other topics related to Sentinel Hub and remote sensing. This session was suitable for those just entering the world of remote sensing as well as those who wanted to deepen their knowledge.
If you missed our live AMA session click on the link below to watch the recording. If you have further questions, we invite you to ask them in our Forum.
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