Stars
Semantic segmentation from multi-source optical data (baseline for the FLAIR#2 challenge)
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
A non-stationary tidal analysis toolbox S_TIDE
Extract a deltaic channel network from a water mask
scikit-fmm is a Python extension module which implements the fast marching method.
Activating wetland land unit. ELM configured to run on Perlmutter
Ingest ALOS imagery hosted on ASF into Google Earth Engine; Then classify inundated wetland
Suite of tools for retrieving USGS NWIS observations and evaluating National Water Model (NWM) data.
Python package for retrieving water data from USGS or the multi-agency Water Quality Portal
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.