EOMasters Newsletter #004
13/08/2023
In this Issue:
EOMasters News
New EOMasters Mini Video
Bug In Previous Newsletter
New Newsletter Categories
EO and RS News
ESA Survey Regarding Data Access
Will Satellites Take Over Your Job?
"The Woz", Apple Co-Founder Wants Access to Satellite Data for All
Software and Tools
Python Processing Tool for EnMAP
Open-Source Multi-Sensor Image Co-Registration
Jupyter Notebooks: First CDAS examples
Beyond EO
Is Dark Matter Not Necessary to Explain the Universe?
EOMasters News
New EOMasters Mini Video
Mini but Mighty! 💪
That's what the short videos of the new EOMasters Mini series are.
The first video is about the importance of flags in Earth Observation data analysis.
Want to discuss about it? Visit the
EOMasters Forum
Bug In Previous Newsletter
Unfortunately, gremlins crept into the last newsletter.
The link attached to the video tutorial image led to a wrong page. For those who could not find the video because the wrong link caused confusion, here the correct link.
Want to discuss about it? Visit the
EOMasters Forum
New Newsletter Categories
With this new issue of the newsletter, I introduce two new categories. The first is Software and Tools. This was inside the EO and RS News category before. But it is worth to be promoted to a main category. The other new category is Beyond EO. Here I want to highlight interesting news from domains other than Earth observation or remote sensing to look beyond our own backyard.
EO and RS News
ESA Survey Regarding Data Access
ESA is seeking insight into how it can improve its Earth observation data access services. If you would like to help, take part in a short survey to help them understand your needs and the challenges you currently face in accessing ESA's EO data.
Will Satellites Take Over Your Job?
Okay, the title is click-bait. 😊 But at least image classification can now be done on board a satellite. A team of researchers from Oxford University has developed a system for teaching satellites how to recognize changes in cloud cover from aerial images. The system uses a fast and efficient approach called few-shot learning, which allows the satellite to learn from a few examples. The system could enable faster responses to natural events by reducing the need to transmit and process large amounts of data on Earth.
"The Woz", Apple Co-Founder Wants Access to Satellite Data for All
Apple co-founder Steve Wozniak, aka "The Woz", has a new space venture: Privateer. The company aims to make satellite data accessible to everyone, not just governments and private companies. Privateer plans to create a marketplace where users can search for and share satellite images at a lower cost, using artificial intelligence and cloud computing. The company also develops a satellite payload device called Pono, which can process data in orbit. Privateer hopes to launch its first Pono device by the end of 2023 and create a ride-sharing economy for space.
Software and Tools
Python Processing Tool for EnMAP
EnPT Python package automates the pre-processing pipeline for new EnMAP hyperspectral satellite data. The package offers free and open-source features that enable users to convert EnMAP Level-1B data to Level-2A products.
The package has been developed at the German Research Centre for Geosciences Potsdam (GFZ). The version 0.19.4 has recently been released.
Open-Source Multi-Sensor Image Co-Registration
Automatically co-register two satellite image datasets at the subpixel scale using an image matching approach that works in the frequency domain. This approach is combined with a multistage workflow to effectively detect false-positives. AROSICS is capable of detecting and correcting both local and global misregistration between two input satellite images at the subpixel scale, which are commonly present in such images.
AROSICS was developed by Daniel Scheffler (German Research Centre of Geosciences) within the context of the GeoMultiSens project.
Jupyter Notebooks: First CDAS examples
The Copernicus Data Space Ecosystem Jupyter Lab is now open! This means there is a place where you have Sentinel Data at your fingertips, Earth Observation coding tools already installed, and online processing capacity for experimenting.
Beyond EO
Is Dark Matter Not Necessary to Explain the Universe?
A new study challenges the established gravity models based on Newton and Einstein. By observing the motion of binary stars, a researcher found that the stars behave more in line with the MOND theory, which does not require dark matter to explain the universe. This could have huge implications for astrophysics, cosmology and fundamental physics. However, further confirmation by independent analysis is needed.
That's it for this issue. I hope you enjoyed this collection of news. Stay tuned for the next edition, which will arrive in your inbox in about two weeks.
Tschüss and Goodbye!
Marco