Caleb Robinson

@MapMakinMeyers I'm so sorry Justin :(

She's making her last trip home. 24 hours to live. Where would you go. What would you do. We are devastated.

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 @sherwang (MIT),@hannah_kerner (Arizona State), Siddharth Sachdeva, and me (Stanford).

Researchers at @Microsoft’s AI for Good Lab, in collaboration with @WildNatureInst, 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

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.

An expanded version of our TorchGeo paper has been accepted to ACM TSAS @TheOfficialACM 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 @calebrob6 @BDataScientist

@Ritwik_G Here's a small experiment using MOSAIKS features and KNN-3 (notebook gist.github.com/calebrob6/7495…). Looks like there is some interesting space for showing gains vs. simple methods with few training samples. Would love to see 90+ acc with a handful of examples!

@calebrob6 There have been papers that have evaluated on EuroSAT in few-shot settings, but there’s no standardized dataset for it. Let’s talk about it!

Remote sensing people, we need to stop using EuroSAT as a benchmark. It is saturated and provides no meaningful differentiation between new methods.

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: #9.98/34.1904/-118.4094" target="_blank" rel="nofollow noopener">storms.ngs.noaa.gov/storms/2025_er… Disaster-specific @FEMA resources are available here: fema.gov/disaster/4856

@mouthofmorrison @dmarvs @earth_chris And 6,3,1 gets you pretty close :) -- we reproduced here aka.ms/los_angeles_ea…

@mouthofmorrison @dmarvs @earth_chris The raw data is in their open data program if you're curious! -- #events/WildFires-LosAngeles-Jan-2025/or2a/016511482010_01/016511482010_01_P002_SWR/" target="_blank" rel="nofollow noopener">qoomon.github.io/aws-s3-bucket-…

Pro tip: never share satellite imagery without attribution in general but REALLY try to avoid sharing Maxar money shot SWIR data without attribution

@yacineMTB @growing_daniel Yes, you can see before/after satellite imagery here aka.ms/los_angeles_pa…. There are ~2k destroyed buildings visible in this scene

@growing_daniel Wait is that a real picture on the left

Palisades vs. Hiroshima

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)!

🚨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… Joint work with @MarcCoru, Caroline Gevaert, @MKampffmeyer, @jeferssonalex, @MariaVakalopou1, @RonnyHaensch, Stine Hansen, @Keiller, Jonathan Prexl, @devistuia Arxiv version: arxiv.org/abs/2312.05327

@MaxLenormand If you don't need very recent -- there is 60cm NAIP imagery from 2022 on the Planetary Computer (RGBNIR)

Distraction about the stuff going on today to all my American friends: Anyone know where I can get some high res optical imagery of New York? Quick search didn't find anything

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

It was so fun working on this with @hannah_kerner, @jacobsn, @opencholmes, @GhoshPrivate, @Adeal_GIS, @matthmohr, @rdodhia, @BDataScientist, Snehal Chaudhari, Eddie Choi, and Jennifer Marcus!

a baseline for training and testing global models. Paper: arxiv.org/abs/2409.16252 Code: github.com/fieldsofthewor… Website: beta.source.coop/repositories/k…

1/ We released Fields of the World (FTW)-- a new satellite imagery + field boundary dataset with samples from 24 countries (now downloadable via torchgeo)! One cool part of this work is that we find that models trained on FTW have decent zero-shot performance in new locations:

5/ A massive thank you, as always, to all our contributors! The PRs, bug reports, discussions, and new research contributions you add make TorchGeo possible. Let's continue to make it easy to combine deep learning with geospatial data!! See you again for 0.7.0 😀

4/ We've also done a lot of work on reproducibility. E.g. with Radiant MLHub shutting down, we've successfully migrated key datasets to Source Cooperative and AWS. This migration not only ensures continuity but also allowed us to simplify code!

1/🚀TorchGeo 0.6.0 is here! TorchGeo is a python library for deep learning with geospatial datasets. This large update contains new datasets, foundation models, and more -- over 11 months of hard work from many contributors! See more details: github.com/microsoft/torc…