"Inferring the past: a combined CNN-LSTM deep learning framework to fuse satellites for historical inundation mapping" Cat: cs CV Link: arxiv.org/pdf/2305.00640…

Sometimes creating a #pixelart game helps with #RemoteSensing Which country is this?

First day of TOKYO GAME SHOW／東京ゲームショウ! Come find us in hall 9, indie games area, swiss games booth! #tgs #TGS2023 #swissgames #indiegames

If you're still around for the last presentation of the last session of the last day of #IRC2023, I will be presenting our work on investigating the impact of introducing flood tolerant rice in Bangladesh through #RS

Hello! If you are at #AGU23 please come to my lightning talk (Screen 3) where I will talk about how we trained a weakly supervised global surface water model that can be tuned locally for your personal favorite waterbody. Session: H42H 10:20 am PST, Talk: 3

If you are at AGU (American Geophysical Union) , come check out our work on mapping floods with MODIS and VIIRS this afternoon! Poster 643👌 #AGU23

Hey! Come and check out our poster (#442) on our hand-labelled flood features for 19 global flood events using PlanetScope imagery. I will be there till 10:20 am, after that I will be at e-Lightning Theater 3 talking about Informal Roads in regions affected by Narco-trafficking!

Jo Giezi will be here at the poster after 10:20 pm!

We’re super excited to announce that Echo of the Waves is part of the London Games Festival 2024, in the International Innovators category! We’ll also present the demo during WASD from 25-27, so come say hi! 🥳🪸🎮

From DeepGlobe to Active Learning for EO, well deserved devistuia. Congratulations 🎊, really happy to see the push on accelerating EO industry

Remote sensing maps need uncertainty quantification to ensure they can be used reliably for science & policy. Excited to share our preprint on methods to correct map biases and quantify errors, bridging the gap between map creation and use: arxiv.org/abs/2407.13659  🗺❓🧵 1/n

Really excited to share our work on rigorous statistical methods for satellite imagery! Remote sensing images are usually analyzed with ML algs followed by regression. To get valid confidence intervals that correct for the errors in the ML step, use methods like this 👇

Code now available here: github.com/Earth-Intellig… If you want to try prediction-powered inference (PPI) on your remote sensing application, check out the examples for area estimation and regression coefficient estimation!

New data description paper: A globally sampled high-resolution hand-labeled validation dataset for evaluating surface water extent maps doi.org/10.5194/essd-1…

This week I'll be at the Conference on Computational Methods in Water Resources Computational Methods in Water Resource Conference hosted University of Arizona. Monday 4-6pm come say hi at my poster presenting ongoing work with Jo Giezi, Beth Tellman, Phd, Fritz Policelli global inundation mapping with NASA VIIRS and deep learning

We were talking about the weather satellite GOES-16 today, and it got me thinking about the incoming #hurricaneMiltom Could I visualize it's progress? Made a little app with the last 24 hours of images (loads slowly): jgiezend.users.earthengine.app/view/goes-time… newest img: jgiezend.users.earthengine.app/view/goes-late…

zoomed in on the hurricane