🎉Tomorrow is the first #NeurIPS2023 workshop on Computational Sustainability! 🎙️✨We can't wait to host an amazing panel during the workshop including Grant Van Horn, Caleb Robinson, Emily Aiken, Carla Gomes, and Eric Ornstein! 🗓️Check out our schedule on compsust.net/compsust-2023/

Our new paper, "Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War," shows that despite widespread disruptions to ag & other sectors during the Tigray War, Tigrayan farmers were largely able to sustain cultivation. arxiv.org/abs/2312.10819

Attention maps of Meta & World Resources Institute DINO model compared to ImageNet pretrained DINO on some UCMerced dataset samples. left-to-right: (image, meta/wri, imagenet).

'How geospatial AI can help us understand global scale challenges such as climate change or food insecurity. '- Tammy Glazer #Geospatial #GeospatialAI

🚨Our new review paper "Better, not just more: Data-centric ML for Earth Observation" 🌐🤖🛰️🔍 has finally been published in GRSM. Shifting the focus from models to data offers new possibilities to improve accuracy, generalization, and real-world impact: ieeexplore.ieee.org/document/10740…

The Climate Change AI workshop at NeurIPS tomorrow will be livestreamed for free, even if you weren't able to register for NeurIPS (which was oversubscribed this year)!

NOAA has posted satellite imagery from the areas affected by the Eaton, Hurst, and Palisades wildfires. The imagery is available through Maxar's Open Data program to support the emergency response community and the public: storms.ngs.noaa.gov/storms/2025_er… Disaster-specific @FEMA resources

An expanded version of our TorchGeo paper has been accepted to ACM TSAS Association for Computing Machinery In addition to even more benchmarks on remote sensing datasets, we provide a thorough survey of open-source libraries for deep learning for geospatial data Caleb Robinson Juan M. Lavista Ferres

I'm hiring for a machine learning data scientist & research assistant for summer 2025! Join me on a project on invasive species management with an innovative startup doing on-the-ground removal of environmentally destructive invasives. Paid, full-time w/ possibility to extend.

Researchers at Microsoft’s AI for Good Lab, in collaboration with Wild Nature Institute, have developed GIRAFFE, an open-source AI-driven system to automate the identification of individual giraffes. Learn more about our new AI-powered tool. msft.it/6017SQgyW

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).