-
Utah Geological Survey
- United States
- in/paul-inkenbrandt-0418b711
- channel/UCqzG9tmU_e2OsqLXFSOlvzQ
Starred repositories
MODFLOW workshop materials for Hydrogeology Field Camp, ESci 4971W/5971, University of Minnesota
Conversion of Campbell Scientific TOB1, TOB2 and TOB3 data files to ASCII formats
This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.
Simple web app example serving a PyTorch model using streamlit and FastAPI
Tool for comparing International Soil Moisture Network (ISMN) sensor data with Sentinel-1 SAR backscatter from Google Earth Engine (GEE)
Standalone version of Kormann and Meixner (2001) and Kljun et al. (2015) footprint climatologies for OzFlux L3 netCDF files
xcube is a Python package for generating and exploiting data cubes powered by xarray, dask, and zarr.
Access hourly NLDAS2 forcing data, part of HyRiver software stack
Yet Another XArray-like Julia package
Workflow to process the raw data from the Campbell Scientific dataloggers
An extension of LightGBM to probabilistic modelling
Module for handling eddy covariance tower data from EddyPro, Campbell loggers, and the AmeriFlux network.
Reformat AmeriFlux data files into NetCDF and add quality flags for outliers and low-turbulence conditions
EricCreusen / scaleogram
Forked from alsauve/scaleogramScaleogram plot for Continuous Wavelet Transform made easy
A game theoretic approach to explain the output of any machine learning model.
Tutorials and content created by Earth Engine users, for Earth Engine users
Lightweight, Pre-trained Transformers for Remote Sensing Timeseries
A collection of Jupyter notebooks as examples of usage of the Fastscape software stack.
A fast, versatile and user-friendly landscape evolution model
Xarray extension and framework for computer model simulations
A library of data interpolation and smoothing functions
Play atmospheric modelling like it's LEGO.
A collection of geospatial analysis and visualization with Python