Notebooks to demonstrate working with NOAA's Coastal Ocean Reanalysis

Code to train UNet models using the FloodPlanet dataset

Algorithms to derive a land surface phenology product from PlanetScope imagery for AmeriFlux and NEON sites

Data PreParation for ELM Runs

Extracting and quantifying graphical representations of river and delta channel networks from binary masks

EXCHANGE Campaign 2 Coastal Land Conversion Project

Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Python and JavaScript bindings for calling the Earth Engine API.

Semantic segmentation from multi-source optical data (baseline for the FLAIR#2 challenge)

Tide prediction and analysis in python.

Harmonic tidal analysis and prediction

Sensor data workflows and processing scripts

A Python toolkit for fine-tuning Geospatial Foundation Models (GFMs).

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Dynamic river model with observation-driven machine learning

PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry

Energy Exascale Earth System Model source code. NOTE: use "maint" branches for your work. Head of master is not validated.

Wetlands notebook for NISAR Early Adopters Workshop, Oct 2024

A MATLAB routine used to calculate nonstationary tidal amplitudes and phases, as well as water level reconstructions, using a special form of continuous wavelet transform (CWT) analysis.

Global Ensemble Digital Terrain modeling and parametrization at 30~m resolution (GEDTM30)

Discrete Global Grids for R: Spatial Analysis Done Right

python package for tidal calculations

Tidal constituents analysis in Python.

A non-stationary tidal analysis toolbox S_TIDE