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.
This month features a great number of tutorials and webinars. Catch up on interviews with ML4EO experts, explore new datasets, data challenges, and applications, including ones focused on machine learning for weather and climate modeling. Learn more about February’s highlights below:
In January, explore new training datasets from SpaceNet, the World Bank, Pangeo, and Sevir (using NOAA’s storm event database), numerous ML4EO tutorials, examples of ML applications using EO, STAC Browser version 1.0.0, and other important resources.
Happy New Year from the ML4EO Market News team! Highlights in December include the release of Landsat Collection 2 in COG format, new training datasets, tutorials, including how to build a model for Radiant Earth’s latest data competition, and various papers focusing on impactful uses of machine learning in reducing and responding to climate change.
Explore a wide range of examples and methodologies of ML applications using EO, upcoming webinars and conferences, and COG + Pangeo best practices. The OGC Community approves the new OGC API standard and there is a call for comments on the ‘Pre’ version for Rio-tiler v2.0. Read all of November’s ML4EO market news below.
Explore new data from Microsoft, Google Earth Engine, and ICEYE, join CGIAR’s data challenge and catch up on numerous virtual events about ML and EO in October’s market news roundup.
This month we explore various data challenges, tutorials, and other resources. There are also numerous machine learning methodologies and applications, including information on applying models in disparate geophysical and geospatial datasets, building better dust detection models and classifying drivers of global forest watch, to name a few. Read September’s ML4EO market news roundup below.
In this month’s ML4EO market news, explore new public data available on Radiant MLHub, Maxar, and Mapbox, ML applications that detect transformers in agricultural fields, tutorials, and, more highlights from the EO community’s continued contributions to the pandemic response, including NASA’s Earth Data’s COVID-19 Dashboard.
This month, Radiant Earth released LandCoverNet, a land cover classification training dataset, and Facebook and Esri partnered to release new OSM ready datasets. Other highlights include data challenge announcements, continued EO expert support towards the COVID-19 pandemic response, upcoming STAC sprint 6, ML4EO tutorials, and more. Explore the details below.
New public datasets from Digital Earth Africa & Development Seed, an Earth Observation COVID-19 Dashboard from ESA, JAXA & NASA, examples of ML applications using EO, and the STAC 1.0-beta.1 release made for an eventful June in the ML4EO market. Learn more about these highlights below: