3 papers
stat.AP2026
Transfer Learning for Dead Fuel Moisture Prediction Using Time-Warping Recurrent Neural Networks
Jonathon Hirschi, Jan Mandel, Adam Kochanski
This paper proposes a time-warping transfer learning method, a technique for temporally rescaling the learned dynamics of a recurrent neural network (RNN) with a Long Short-Term Me…
cs.RO2025
Optimal Planning and Machine Learning for Responsive Tracking and Enhanced Forecasting of Wildfires using a Spacecraft Constellation
Sreeja Roy-Singh, Vinay Ravindra, Richard Levinson +8
We propose a novel concept of operations using optimal planning methods and machine learning (ML) to collect spaceborne data that is unprecedented for monitoring wildfires, process…
cs.LG2025
Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height
Bryan Shaddy, Brianna Binder, Agnimitra Dasgupta +8
Increasing wildfire occurrence has spurred growing interest in wildfire spread prediction. However, even the most complex wildfire models diverge from observed progression during m…