Geodata¶

Data repositories¶

Norwegian Polar Data Centre: Datasets: Antarctica, Arctic Ocean and Svalbard
Common Metadata Repository (CMR): Search API for NASA’s remote-sensed earth science metadata
UC Irvine Machine Learning Repository: Machine learning datasets, featuring data on air quality, ozone level detection, greenhouse gas concentrations, aquatic toxicity, and more
National Data Buoy Center: Meteorological and oceanographic measurements for the marine environment.

See also

List of GIS data sources

Software¶

Reading and writing¶

Geospatial Data Abstraction Library (GDAL): provides a low-level but more powerful API for reading and writing hundreds of data formats.
pyogrio: provides a GeoPandas-oriented API to OGR vector data sources, such as ESRI Shapefile, GeoPackage, and GeoJSON.
Rasterio: reads and writes GeoTIFF and other forms of raster datasets.
Zarr-Python: Zarr is an open-source file storage format for chunked, compressed, N-dimensional arrays.
Fiona: reads and writes *.shp- and *.json data and many other formats.
netCDF4: is a Python interface to the netCDF C library.
pyModis: Collection of Python scripts for downloading and mosaicking MODIS data.
xmitgcm: reads MITgcm binary MDS files into xarray data structures.

See also

Remote sensing¶

Satpy: Easy to use API for sensors of satellite images like MODIS, Sentinel-2 etc.
sentinelsat: Find and download Copernicus Sentinel satellite imagery using command line or Python.
Open Data Cube: Open Source Geospatial Data Management and Analysis Software.
RSGISLib: or The Remote Sensing and GIS Software Library is a set of remote sensing tools for raster processing and analysis.

See also

Assigning satellite data to geo-locations

General purposes¶

pyproj: Python interface to PROJ, a library for cartographic projections and coordinate transformations.
pgeocode: Querying of GPS coordinates and municipality names from postal codes, distances between postal codes as well as general distances.
Arcpy: is used by Esri ArcGIS to perform geographic data analysis, data conversion, data management, and map automation.

GIS¶

QGIS: supports viewing, editing, printing, and analysis of geospatial data in a range of data formats.
GeoPandas: extends the datatypes used by pandas to allow spatial operations on geometric types.
regionmask: determines which geographic region each grid point belongs to.
Salem: extends xarray to add geolocalised subsetting, masking, and plotting operations.

Spatiotemporal statistics¶

rasterstats: Summarizing geospatial raster datasets based on vector geometries.
eofs: EOF analysis of spatial-temporal data.

Re-gridding¶

Pyresample: Resampling geospatial image data, primary for resampling in the Satpy library.
xESMF: Universal Regridder for Geospatial Data.

Simulation¶

xarray-simlab: provides both a generic framework for building computational models and a xarray extension for setting and running simulations.
Fastscape: provides a lot a small model components to use with the xarray-simlab modeling framework.
EarthSim: Tools for environmental simulation.

Visualisation¶

PyViz Tutorial

German-language tutorial that provides an overview of the Python visualisation libraries.

Cartopy: creates maps based on Matplotlib and converts points, lines and vectors between the different projections.
GeoPandas: GeoPandas examples.
Iris: implements a data model based on CF conventions, with visualisation based on Matplotlib and Cartopy.
GeoViews: Explore and visualise geographical, meteorological and oceanographic data sets.
ipyleaflet: is a Jupyter widget for Leaflet.js.
xarray-leaflet: is an xarray extension for plotting tiled maps.

Meteorology¶

MetPy: A collection of tools in Python for reading, visualizing, and performing calculations with weather data.
wrf-python: A collection of diagnostic and interpolation routines for use with output from the WRF-ARW Model.
windspharm: Computations on global wind fields in spherical geometry.

Oceanography¶

GSW-Python: Python implementation of the TEOS-10.
PyCO2SYS: Toolbox for solving the marine carbonate system and calculating related seawater properties.
pyoos: High level data collection library for met/ocean data publicly available.
UMWM: UMWM is a spectral ocean wave model.

Climate¶

PyOWM: A Python wrapper around OpenWeatherMap web APIs.
climpred: Verification of weather and climate forecasts.
xgcm: General Circulation Model Postprocessing with xarray.
climlab: Process-oriented climate modeling.
aospy: Computations that use gridded climate and weather data (namely netCDF files) and the management of the results.
OpenClimateGIS: Geoprocessing and computation on CF-compliant climate datasets.
oocgcm: Tools for processing and analysing output of general circulation models and gridded satellite data.
pangaea: Xarray extension for gridded land surface and weather model output.

Glaciology¶

OGGM: Open source modelling framework for glaciers.