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

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

Notebooks to learn fundamentals of xarray for geospatial data processing in Python

Interactive widgets for topographic data analysis and modelling in Jupyter notebooks

Notebook examples using model data for the Open Government Data initiative

Jupyter notebooks related to NITheCS micro school series.

Lexcube: 3D Data Cube Visualization in Jupyter Notebooks

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

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. We have also attempted to calculate chlorophyll a too in this notebook that is CoLab ready.

Fancy reprs for Xarray objects in Jupyter notebooks (experimental)

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

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

A collection of several Jypyter 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.

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

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.

Open Data Cube Software Project: https://datacube.remote-sensing.org/

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.

Satellite data files contain lots of useful information... sometimes too much. It can be a burden to read, process, and store the extraneous data. This notebook will open a file, keep wanted fields, and discard the rest. The results will be saved in a compressed netcdf4 file for future use.