A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
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Updated
Sep 27, 2024 - Python
A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data
Tools for working with SMAP L4C and Terrestrial Carbon Flux (TCF) Model data
A Python interface for the Generic Mapping Tools.
A Python implementation of the MOD16 terrestrial evapotranspiration algorithm
Cartographic rendering and mesh analytics powered by PyVista
Processing and gridding spatial data, machine-learning style
A Python package for handling Landsat data from EarthExplorer with xarray
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
Forward modeling, inversion, and processing gravity and magnetic data
Practice datasets to probe your code
Reference ellipsoids for geodesy and geophysics
A Python package to find the centerline and width of rivers based on the latitude and longitude of the right and left bank
generates rasters of MODIS clumping index
Modeling and inversion of magnetic microscopy data 🧲🔬
Python toolbox to analyse fracture networks for digitalized rock outcrops.
A CF-compliant Earth Science data analysis library
Python package for downloading ECMWF reanalysis data and converting it into a time series format.
Readers and converters for data from the GLDAS Noah Land Surface Model. Written in Python.
Readers and converters for Soil Moisture Active Passive (SMAP) data.
Common Framework for Inference
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