@EarthNetTeam

A Machine Learning challenge for Earth surface forecasting.

earthnet.tech
Joined December 2020
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The challenge is up! Can you beat the state-of-the-art on Earth Surface Forecasting? Find all about it on our site earthnet.tech and our challenge paper arxiv.org/abs/2012.06246
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Are you in Geneva for the @AIforGood Summit? Come visit us! Tomorrow (Wed) at AI for Climate workshop and Thurs-Fri at @Ellis_Unit_Jena Booth 9.3! earthnet.tech/conferences/Eaโ€ฆ @DeepCube_H2020 @MPI_BGC
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You can create earthnet-like minicubes for any location of your interest with the minicuber python package. Open source and available in Github: github.com/earthnet2021/eartโ€ฆ Thank you @vitusbenson ! This tool is used for UC1 @DeepCube_H2020

GitHub - earthnet2021/earthnet-minicuber: EarthNet Minicuber

EarthNet Minicuber. Contribute to earthnet2021/earthnet-minicuber development by creating an account on GitHub.

github.com
Vitus Benson@vitusbenson17 Mar 2023
Minicubes are small spatio-temporal arrays of Earth data. For @EarthNetTeam we create them en masse centered around Sentinel 2 imagery. Now our internal tool earthnet-minicuber is open source! Create your own minicubes with just a few lines of code ๐ŸŒ๐Ÿ›ฐ๏ธ 1/n
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It's the @ClimateChangeAI workshop day of @NeurIPSConf! ๐ŸฅณThe program is amazing ๐Ÿคฉโžก๏ธ climatechange.ai/events/neurโ€ฆ To know more about how to ๐Ÿ๐จ๐ซ๐ž๐œ๐š๐ฌ๐ญ ๐ฏ๐ž๐ ๐ž๐ญ๐š๐ญ๐ข๐จ๐ง ๐ ๐ซ๐ž๐ž๐ง๐ง๐ž๐ฌ๐ฌ with deep learning method come at 18:00 UTC here: neurips.cc/virtual/2022/postโ€ฆ ๐Ÿ˜‡ #NeurIPS22

Tackling Climate Change with Machine Learning

NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning

climatechange.ai
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New preprint by @ClaireRobin01 over the newer EarthNet-like African dataset focused on droughts. The work will be presented at two NeurIPS workshops and is part of project @DeepCube_H2020 arxiv.org/abs/2210.13648#

Learning to forecast vegetation greenness at fine resolution over...

Forecasting the state of vegetation in response to climate and weather events is a major challenge. Its implementation will prove crucial in predicting crop yield, forest damage, or more generally...

arxiv.org
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EarthNet2021 has cubes of Sentinel-2 and weather observations to build models to forecast Earth Surface. But there is so many products/variables that could also be useful! ๐–๐ก๐š๐ญ ๐ฏ๐š๐ซ๐ข๐š๐›๐ฅ๐ž ๐ฐ๐จ๐ฎ๐ฅ๐ ๐ฒ๐จ๐ฎ ๐ฅ๐ข๐ค๐ž ๐ญ๐จ ๐ฌ๐ž๐ž ๐ข๐ง ๐š ๐Ÿ๐ฎ๐ญ๐ฎ๐ซ๐ž ๐ฎ๐ฉ๐๐š๐ญ๐ž?
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#HelloWorld We are launching #EarthNet2021 today! :D If you are around in #NeurIPS2020 join our poster session (stand #48) in #CCAINeurIPS20 workshop at 13:00-14:00, 14:00-17:00 or 20:00-21:00 UTC . See you there!
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