Top Tweets for #LandCoverNet
Happy #FirstFriday of the month! 🌟For #RadiantFaces, meet @HamedAlemo, our Exec. Director & Chief Data Scientist who joined us exactly 5 yrs ago today. In this episode, we talk about Radiant, #LandCoverNet & how he maintains a work-life balance:https://t.co/bFfP7ytT27
#LandCoverNet will enable fully-automated & dynamic #landcover classification algorithms using open-access satellite imagery. Read what @brunosan, Director of @Microsoft Planetary Computer, has to say about the release of this dataset: https://t.co/tshxXYDoXh
@iammanil, Senior Research Scientist at @NASAEarth, shares his views on #LandCoverNet. The combination use of #AI and #EO will help solve problems like but not limited to Agriculture, Deforestation, and Urbanization. Read the announcement now https://t.co/tshxXYlNyH
We recently announced the release of #LandCoverNet, the 1st global multi-satellite #TrainingDataset for land cover classification. This #TutorialTuesday, learn how how to use the #RadiantMLHub API to browse & download these datasets. See the link below 👇 https://t.co/qrvdIT4xfZ
Our Summer #newsletter of Radiant Earth Insight is now available📰, with exciting content including #LandcoverNet, our #ii2030 challenge, the latest #RadiantFaces interviews w/ @GreggCal, @KendallLeeSmith, @realGuidoRice & more! Take a look here ⤵️
https://t.co/p2joVrmlW2
If you missed today’s session, watch the recording covering #RadiantMLHub (and recently released #LandCoverNet), AI and the environment in the Global South, satellite rice estimation, and more!
📽️Watch now:https://t.co/iuELIUOhml
In this workshop, @HamedAlemo & @kaiy1ng, our policy fellow & @AtkinsonCenter postdoc, will showcase #RadiantMLHub and how #AI can be used for & by people living in postcolonial nations. Swasetyo Yulianto will give a last lecture.
Learn more ⤵️
https://t.co/iTCiV7u9un
Radiant Earth announced the release of #LandCoverNet, the first global multi-satellite training dataset for land cover classification. It will enable the creation of high-resolution & up-to-date maps for natural resource management... @NASA @Microsoft https://t.co/uTFWZPJPZr
Radiant Earth is excited to announce the release of LandCoverNet, the first global multi-satellite training dataset for land cover classification. #LandCoverNet will enable the creation of high-resolution & up-to-date maps for natural resource management https://t.co/04wgQAG5MU
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