This paper tested change detection and ML classifier for urban flood mapping on GEE. They show the balance of right vs wrong predictions, making them useful for quick decisions, cross-checking, and model validation.
https://t.co/ZgPBxlm7zp
Dear all, we are extending the abstract submission deadline to April 1. After this date, we will evaluate the situation. Therefore, we kindly ask that you refrain from booking travel until you hear from us regarding the next steps.
๐ Excited to present at #AGU24!
๐ "Capturing Noise in the Dynamics of Rainfall-Runoff Using SDEs"
๐ Dec 10, 2024 | 08:30โ10:00 EST
๐ Washington Convention Center, Hall D, eLightning Theater 4
https://t.co/gluc2u7RAk
#Hydrology#FloodPrediction#StochasticModeling
๐จ New Publication! ๐ Developed a dataset & ML models to predict channel roughness. Ignoring temporal variability (~35%) can cause major errors in flood peak timing/magnitude. #Hydrology#FloodModeling#MachineLearning#BigData
Read more: https://t.co/gyO83I16vn
Hold the date!! HydroML symposium 2024 is May 29th-31st in Richland, WA, to be hosted by PNNL. Updated information will be put up on https://t.co/DVAPmRfL3I (awaiting updates now). Abstract submission call is expected to be out soon!
A powerful new space mission will track our changing Earth in fine detail ๐
The joint @NASA-@ISRO mission โ called #NISAR โ will give us insight into what triggers earthquakes, volcanoes, landslides, and other natural hazards. Itโs set to launch from India in coming months.
National Water Center Innovators Program Summer Institute Report 2022 is out. Check our project out here https://t.co/HvjejrzC84 on "Large scale prediction of channel roughness coefficient using machine learning methods"
Thanks to everyone who came to the Summer Institute Pod today at #AGU23!
We are currently recruiting Theme Leads and SI Fellows for the 2024 internship! Visit the website for details - https://t.co/INRU6Rd980
PhD project offered by the IMPRS-gBGC in Jan 2024
Machine learning for improved irrigation representation and understanding within Earth system models
https://t.co/O4AZn7YBGF