Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

The PyEarthScience repository created by DKRZ (German Climate Computing Center) provides Python scripts and Jupyter notebooks in particular for scientific data processing and visualization used in climate science. It contains scripts for visualization, I/O, and analysis using PyNGL, PyNIO, xarray, cfgrib, xesmf, cartopy, and others.

Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

Repo covering Jupyter Notebook resources for Unidata's 2023 triennial meeting held in Boulder, Colorado

A collection of Python notebooks and applications related to Earth Observation (EO) sector.

Interactive widgets for topographic data analysis and modelling in Jupyter notebooks

Some Python scripts & notebooks for Delft3D4-FLOW turbidity current simulations

esa-snap-notebook is a community maintained Jupyter Docker Stack image

The Copernicus Data Store (CDS) is a one stop shop for a wide range of historical and real time geospatial data from various remote sensing and on-the-ground weather observations. The following notebook is an approach to design a neural network to predict the [Total Precipitation] from the two input variables [Temperature of air at 2m above the …

Fancy reprs for Xarray objects in Jupyter notebooks (experimental)

A collection of several Jypyter notebooks.

Papermill to run Jupyter notebook with parameters for a scripted generation of HF EDI tower data graphs for visual inspection

Python Jupyter notebooks for exploratory reading and visualization (RV) of various geospatial data products and file formats

Collection of notebooks used to demonstrate some Pangeo tools on HPC

A collection of six Jupyter notebooks to illustrate how OPeNDAP can be used to access data served by NASA.

Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.

We have created a Jupyter Notebook to use with NASA PACE data employing HyperCoast to download the data and then view and process these hyperspectral data using traditional python code.