A comprehensive list of NASA Earth science data products
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Updated
Jun 8, 2024 - Jupyter Notebook
A comprehensive list of NASA Earth science data products
This repository is a collaborative space for MSc Earth Science students at Imperial College London to experiment with and apply Large Language Models (LLMs) to real-world Earth Science problems.
Generating Structured Local Area Model (SLAM) grids from unstructured meshes
PyGMTSAR (Python InSAR): Powerful and Accessible Satellite Interferometry
Reference ellipsoids for geodesy and geophysics
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
SNAP Microwave Toolbox
Directory of Fortran codes on GitHub, arranged by topic
Code for Neural Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities
Python codes for modelling elastic and seismic properties in rocks
A chemical model of planetary atmospheres
A climate model of planetary atmospheres
SNAP Optical Toolbox
The Generic Mapping Tools
Collection of GMT (Generic Mapping Tools) scripts, jupyter notebooks (using PyGMT) and files (including digitized map content, colormaps, grid files etc.)
Open-source Command Line Interface (CLI) written in Python, designed to process magnetic data. With a robust set of commands, MagnetoPy aims to simplify the analysis and manipulation of magnetic data for geophysicists in the field.
A Python package to find the centerline and width of rivers based on the latitude and longitude of the right and left bank (v1.6.0)
Fast Carbon Monoxide Column (XCO) Estimation from Cross-track Infrared Sounder (CrIS) Observations Using Machine Learning
A practical guide to using TROPESS data products. Delivered as Jupyter Notebooks in Python
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