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.
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.