You can now read papers from the 1st ICLR 2024 Workshop on ML for Remote Sensing on our website (nasaharvest.github.io/ml-for-remote-…)! Thx to our sponsors, reviewers, authors, & organizers we had:
📰 18 accepted papers (~40% accept rate)
🗣️ 3 keynote speakers
👥 2 panels
✈️ 2 travel awards

Thanks to Microsoft AI For Good Lab for sponsoring our ICLR 2024 workshop on #MachineLearning for #RemoteSensing .
AI For Good is an applied research & data visualization lab combining AI, ML & applied analytics w/ highly specialized datasets such as geospatial & acoustic data.

📢Machine Learning for Remote Sensing Workshop at ICLR 2023
⏳Submission Deadline - February 05, 2023 (11:59 pm AoE) Hannah Kerner Hamed Alemohammad Ronny Hänsch
✍️More at nasaharvest.github.io/ml-for-remote-…

We are accepting submissions for the 1st Machine Learning for Remote Sensing Workshop at ICLR 2024 2023 in Kigali, Rwanda.
Submission deadline is Feb 3, 2023.
nasaharvest.github.io/ml-for-remote-…
Hope to see you there!

Excited to be at SatSummit! I'll be moderating a panel on localizing AI through no-code and human in the loop approaches with Tyler Radford Janine Yoong and Ivan Zvonkov. Join us at 4.30pm today in The Forum! #satsummit

Today, on the sidelines of #AGRF2022 , Rwanda Space Agency hosted the NASA Harvest team led by Dr. Catherine Nakalembe to discuss ways to collaborate in order to promote sustainable agriculture. #SDG2

Harvest researchers Department of Geographical Sciences hosted a 'Scalable Cropland Mapping Workshop' in coordination with RCMRD 🇰🇪 🇺🇬 🇸🇴 🇹🇿 🇲🇼 🇰🇲 🇿🇲 🇱🇸 🇸🇿. Attendees had excellent discussions about sampling data, deep learning time series models, & what a good map actually means for stakeholders.

👉nasaharvest.github.io/rcmrd2022.html

We've published an article summarizing the amazing talk that Hannah Kerner, Dr. Catherine Nakalembe & Ivan Zvonkov gave at #CVPR2022 . Check it out to learn how #EOData is revolutionizing agriculture and follow a hands on tutorial of our custom crop mapping module!
nasaharvest.org/news/nasa-harv…

That’s a wrap for our tutorial session on Machine Learning for Remote Sensing Data + Applications in Agriculture and Food Security! Thanks to my awesome co-instructors Dr. Catherine Nakalembe and Ivan Zvonkov and to everyone who participated. #CVPR2022

Ivan Zvonkov on some of the problem spaces and tools that exist in the remote sensing sphere, ft. a demo of the OpenMapFlow package

Attending #CVPR2022 ? Join me at:
🛰️ ML + Remote Sensing for Ag & Food Security tutorial led by me, Dr. Catherine Nakalembe, Ivan Zvonkov (6/20 1:30-5:30p nasaharvest.github.io/cvpr2022.html)
🌽 AgVision workshop (6/19 agriculture-vision.com)
🌍 EarthVision workshop (6/19 grss-ieee.org/events/earthvi…)

Welcome to the last day of #LPS22 ! We hope everyone who attended had a great time! We've got another great talk lined up today on the CropHarvest dataset developed by Ivan Zvonkov, Gabriel Tseng, Hannah Kerner, Dr. Catherine Nakalembe, & Eva Utzschneider.
nasaharvest.org/news/nasa-harv…

#TutorialTuesday Ivan Zvonkov demoed Harvest’s workflow for generating cropland maps w/ #ML & CropHarvest, a global dataset for crop-type classification.

🙏Ivan, Hannah Kerner, Dr. Catherine Nakalembe, Gabriel Tseng, Eva Utzschneider

Watch now👇
youtube.com/watch?v=85da2h…

'The end goal is not the test metric, but rather the realization of the benefits of [AI]… We need to invest in creating AI solutions that work for real-world problems, real-world data & real-world people.”
-Hannah Kerner on #EOData & #AI AI4EO ESA Earth Observation
nasaharvest.org/index.php/news…

We've uploaded a workflow for generating high-resolution cropland maps! Created by Harvest's Ivan Zvonkov Hannah Kerner Gabriel Tseng Dr. Catherine Nakalembe & Eva Utzschneider, the workflow teaches users how to create machine learning models for cropland mapping.
youtube.com/watch?v=85da2h…

More AI people should consider working with earth observation data.
google.com/doodles/earth-…

Earlier this week I demoed our workflow for making cropland maps with machine learning at scale, a recording is now available: youtu.be/85da2hZqobA (joint work with Hannah Kerner, Dr. Catherine Nakalembe, Gabriel Tseng, and Eva Utzschneider at Harvest)

Today we say goodbye to Kenya after an energizing visit discussing satellite data 🛰, agriculture 🌽, & machine learning 🤖 with Kenya Space Agency, Kenneth Kemucie from ICPAC, Dr. Musonda Xoliswa Mumba from UN Development, and RCMRD 🇰🇪 🇺🇬 🇸🇴 🇹🇿 🇲🇼 🇰🇲 🇿🇲 🇱🇸 🇸🇿. We managed to make a few new animal friends too! 🦏🦒Harvest

We had an incredible day yesterday visiting the Makerere University #AI Lab and Robert Kabushenga’s coffee farm. We learned all about the impressive projects happening at The Makerere AI and Data Science Research Lab and about growing and optimizing Ugandan coffee. We are full of ideas!