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:
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 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.