🔥The 9th Round of Easy Loan, Earn $40 Reward is in progress❗️ ⏰ Promotion Period: January 15th - Feburary 15th, 2025 👉 Register now and check more details at gate.io/campaigns/358

For those working at the intersection of computing and the environment -- join us at MIT! 🙂

🌎Visualizing the Agricultural Field Boundary dataset - Fields of The World (FTW, fieldsofthe.world) - using #leafmap on PyCafe ☕️ Check it out: py.cafe/giswqs/leafmap… Chris Holmes

I wish I was a PhD student again so I could apply to work with Esther Rolf! Graduating PhD students, consider applying for this unique interdisciplinary postdoc position at CU Boulder 🏔️

Our lab will have a busy week at #AGU24! See you there 🦾

The Arizona State University 's Hannah Kerner Lab + Dr. Catherine Nakalembe 's team showcasing lessons learned from mounting GoPros on motorcycle 🏍️ helmets to gather crop type labels for ML 🌍🤖📷 🌾

I love to read #books in a variety of genres. My favorites from 2024 include fiction/scifi, personal development, memoirs, & nonfiction. Of the books I read last year, these are the ones I wholeheartedly recommend 👇🏼 I hope they also bring you joy! What should I read in 2025? 📚

We are hiring several new full-time team members to help shape CCAI's organizational development and ongoing activities! Open roles: - Administrative Assistant - Development Director - Director of Operations and Projects Learn more & apply here: climatechange.ai/hiring

🚨📢 Call for short and tiny Papers 🚨📢 for the third Machine Learning for Remote Sensing workshop at ICLR 2025 in Singapore! Deadline in 3 weeks on February 3rd! Check the website ⬇️ for submission details ml-for-rs.github.io/iclr2025/

We are excited to host the 3rd Machine Learning for Remote Sensing workshop 🛰️ at #ICLR2025 in Singapore! 📄 Submit your 4-page research papers or Tiny Papers by February 3 (<3 weeks away)! See the website for submission details and other info: ml-for-rs.github.io/iclr2025/

#ICML2025 includes a new track on Application-Driven Machine Learning (innovative ML techniques, problems, and datasets driven by the needs of end-users in real-world)! If this fits your work, consider submitting to ICML (dl: Jan 30) and checking the ADML box ✅ in OpenReview ⬇️

📢 The deadline for paper submissions to the Machine Learning for Remote Sensing workshop at #ICLR2025 has been extended to February 10!

📢 Today is the last day to submit to the #ICLR2025 Machine Learning for Remote Sensing workshop! Submit by end of Feb 10 anywhere on Earth (that's Feb 11 at 4am Pacific US time) Submission instructions for 4-page research papers and 2-page tiny papers: ml-for-rs.github.io/iclr2025/

Meet Galileo (Global And Local flexIbLe Earth Observation): our new family of remote sensing foundation models that 🥇 ranks highest on benchmarks & is 🛰️ pretrained on 11 remote sensing datasets, ⿺ flexible to any input data shape, & 📉 optimized for large & small-scale objects

Happy Earth Day! 🌎 Hannah Kerner and researchers in #SCAI are hoping #AI insights from the NASA Acres satellite data they collect can support Hawaiian-led efforts to restore food sovereignty to the islands. fullcircle.asu.edu/features/harve…

PhD student ASU School of Computing and Augmented Intelligence Gedeon Muhawenayo Gedeon Muhawenayo presented our team’s work on machine learning algorithms and benchmarks that we are deploying for agriculture use cases with NASA Harvest and NASA Acres! 🌽 🦾

Four days until the Machine Learning for Remote Sensing Workshop (ML4RS) at #ICLR2025 in Singapore! ml-for-rs.github.io/iclr2025/ Are you excited to dive into the latest ML for Earth and space? Join us April 27—proudly sponsored by Google DeepMind, Ai2 , and Spatial Informatics Group (SIG).

NASA Harvest is proud to be featured in the new Aerospace and Our Changing Environment exhibit at National Air and Space Museum! 🚀🌾 Explore how aerospace tech—including satellite-powered agriculture—supports a more sustainable future. Details: airandspace.si.edu/whats-on/exhib…

Our remote sensing foundation model Galileo has been accepted to ICML 2025! Galileo outperforms state-of-the-art across different input data modalities and shapes, and using it requires only minimal data and compute. More at: arxiv.org/abs/2502.09356

Working on transfer learning and foundation models in remote sensing? We invite you to submit abstracts to our session IN005 at #AGU25 (agu.confex.com/agu/agu25/prel……) organized by Sherrie Wang (MIT),Hannah Kerner (Arizona State), Siddharth Sachdeva, and me (Stanford).

🎉 Hannah Kerner in #SCAI has earned a 2025 U.S. National Science Foundation CAREER Award to build #AI tools that turn satellite data into real-world insights — no AI expertise needed. 🌍🛰️ #ASUEngineering fullcircle.asu.edu/faculty/a-care…