Big Data From Space 2023 Hackathon
Using EO Earth Observation Datacubes for Understanding the Earth’s Rapid Changes
As part of Big Data From Space 2023 Conference we're hosting a hackathon where innovators can collaborate on Big Data and machine learning solutions for sustainability and environmental challenges.
When and Where?
This hackathon is taking place onsite at the ESA BiDS 2023 Conference and is taking place between 11:00 am CET and ends at 18:00 on Nov 6th
Why Participate?
Are you passionate about leveraging Big Data and Earth Observation (EO) pipelines to address urgent global challenges? Are you interested in applying the latest machine models, like foundational models, to help understand Earth's dynamic changes is critical to combat environmental degradation, biodiversity loss, and natural disasters. Traditional approaches have struggled with the complexity and scale of remote sensing data. However, emerging machine learning technologies, data normalization platforms, and cloud-based solutions are revolutionizing our capabilities. This hackathon will bring together participants to demonstrate the insights that can be achieved with scientific quality 5-meter daily imagery data sets.
Example data uses:
Harnessing the Power of Earth Observation Data for Enhanced Large-Scale Agriculture Monitoring
Synthesized daily multispectral datacube using Venus, Sentinel-2, Landsat-8/9 and MODIS provides rich information for analyzing the Earth as it changes.
Thank you Hackathon Sponsors
What to Expect
Participants will collaborate in teams to build automated tools that classify and analyze land changes. Some focus areas include:
- Automated monitoring of rivers and water bodies
- Real-time deforestation detection
- Assessing forest fire impact
- Evaluating green landscape infrastructures
You'll be provided with study sites, predefined data cubes of daily satellite imagery, and ready-to-use machine learning pipelines. This allows participants of any skill level to jump right into the hackathon.
Our key dataset is the VENµS satellite imagery dataset, a collaboration between the French Space Agency (CNES) and the Israeli Space Agency (ISA). This dataset features 12 spectral bands, daily and bi-daily coverage, and 4-5 meter resolution, with quality and spectral bands compatible with Sentinel-2 models.
Pre-Hackathon Setup
Participants will receive setup instructions prior to the event to ensure seamless access to datasets, package installations, Jupyter notebooks, and running of ML models. Scripts will also be provided for participants who would like to use their own development (non-Jupyter) environment.
Who Should Attend?
Everyone is welcome! However, to get the most out of this event, you should be comfortable with Jupyter notebooks and have experience in one or more of the following:
- Remote Sensing
- Data Science
- Data Processing
- Data Visualization
- Software Engineering
Collaborate with like-minded individuals to develop innovative solutions that not only detect changes but also facilitate Big Data analysis.
Hackathon Registration
Please fill out the form below to register for the Hackathon