Earth Libraries

17 Components & Libraries

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Earth Libraries

Deep learning with satellite & aerial imagery

Extracting roads is challenging due to the occlusions caused by other objects and the complex traffic environment In instance segmentation, each individual 'instance' of a segmented area is given a u…

Google Earth Enterprise - Open Source

Earth Enterprise is the open source release of Google Earth Enterprise, a geospatial application which provides the ability to build and host custom 3D globes and 2D maps. Earth Enterprise does not p…

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Processing and gridding spatial data, machine-learning style

The first major release of Verde was focused on meeting most of these initial goals and establishing the look and feel of the library. Later releases will focus on expanding the range of gridders ava…

Fast EMD for Python: a wrapper for Pele and Werman's C++ implementation of the Earth Mover's Distance metric

You can also get the associated minimum-cost flow: You can also calculate the EMD directly from two arrays of observations:

A collection of all earth related space Images in one script to set as your Desktop background.

Hearthstone Python library (CardDefs, DBF, enums, log parser)

A Hearthstone Python library containing: This project is licensed under the MIT license. The full license text is available in the LICENSE file.

Touch Terrain: A python app to create 3D printable terrain models (STL/OBJ) from only elevation data (via Google Earth Engine) or from a local geotiff. Has been used for CNC terrain models. Runs as a web app (http://touchterrain.org), as .py file (standalone.py) or as jupyter notebook. Docker image: https://github.com/ChHarding/TouchTerrain_jupyter_docker

For more in-depth information: TouchTerrain reads Digital Elevation model (DEM) data within a geographical extent (downloaded from Earth Engine or from a local raster file) and from it creates a 3D m…

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

Additionally, it also provides multiple methods for computing land surface emissivity. It is targeted towards supporting research and science workflows in many fields including climate science, earth…

A Google Earth Engine based algorithm that extracts river centerlines and widths from satellite images

The core algorithms responsible for calculating river centerlines and widths are identical in the JavaScript and the Python version. However, there is minor differences in how users might call these …

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"

Source files for the Docker image mort/crc4docker Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition" On Ubuntu, for exampl…

Cartographic rendering and mesh analytics powered by PyVista

We intend GeoVista to be a cartographic gateway into the powerful world of PyVista, and all that it offers. Alternatively, to configure a full developer environment, first clone the GeoVista GitHub r…

A conda environment and docker container to support using earth and environmental data in Python.

The tutorial above will provide you with more detailed setup instructions. But here are the cliff notes: To begin, install the environment using: This will take a bit of time to run. You can update y…

An Open-Source Geophysical Python Library for Geoscience Prototype Research

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Earthquake Prediction Challenge with LightGBM and XGBoost

Python module to parse Hearthstone Power.log files

hslog is a powerful Hearthstone Power.log deserializer. This is the default dispatch lookup: All of the methods in the dispatch dict should be implemented. The export fully simulates every available …

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