Search Results for author:
Found 3 papers, 0 papers with code
A Deep Learning Approach to Mapping Irrigation: IrrMapper-U-Net
We found that that our method outperforms other methods of mapping irrigation in Montana in terms of overall accuracy and precision.
Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference
Basal motion is the primary mechanism for ice flux outside Antarctica, yet a widely applicable model for predicting it in the absence of retrospective observations remains elusive.
Velocity variations at Columbia Glacier captured by particle filtering of oblique time-lapse images
We develop a probabilistic method for tracking glacier surface motion based on time-lapse imagery, which works by sequentially resampling a stochastic state-space model according to a likelihood determined through correlation between reference and test images.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
