Happy New Year! Highlights in December include the availability of geospatial models on Radiant MLHub, new land cover tools, tutorials, more data competitions, STAC integration in Leafmap and catalog conversion in Earth Engine, AMLD Africa 2021, Neur IPS 2021 recordings, and other impactful machine learning for earth observation resources.
This month features a variety of podcasts including the importance of labels, flood monitoring, Microsoft’s Planetary Computer, and more. Catch up on webinars from FOSS4G 2021, Geo For Good, PhiWeek, and FedGeoDay. Explore data challenges, the latest ML methodologies and applications, and other helpful resources. Explore the highlights from November:
Take a deep dive into machine learning methodologies, new datasets (including marine debris training data on Radiant MLHub), tutorials, a range of webinars, and tons of new resources to learn from.
This month, explore a number of methodologies in machine learning classification models, a range of new satellite imagery and maps available, tutorials, and many other helpful resources.
Explore the latest training data, new STAC tools (like the STAC Browser v3.0.0-alpha.2), a range of applications tackling climate related problems, webinars including ESIP workshops, tutorials with QGIS, and more from this past month!
Discover the latest methodologies for machine learning applications on satellite imagery, new datasets like the Radiant Earth South African Crop Type Competition data, the latest updates and tools of the STAC ecosystem, a range of geospatial tutorials and webinars, and lots more from July.
Explore the latest data challenges, including Radiant Earth’s 2 track Spot the Crop Challenge, newly available datasets, all the big STAC updates (STAC 1.0.0 release!), tutorials on vegetation detection, and more from the past month!
Dive deep into the latest classification methodologies, the second beta release of the Radiant MLHub Python Client, STAC updates, and learn how to use geospatial data with deep learning algorithms. Explore all of May’s highlights below.
Explore the call to publish your training data on Radiant MLHub for NeurIPS 2021 new datasets and benchmark track, a range of datasets available on Radiant MLHub and other platforms, data challenges, podcasts showcasing leading individuals in the ML4EO sector, and more highlights this April.
This month brings a great number of advances in STAC applications, a range of tutorials including how to use Radiant MLHub’s Python Client, plus new pre-trained models on BigEarthNet, webinars for vegetation monitoring, and many more beneficial resources. Explore March’s ML4EO market highlights below.