awesome-spectral-indices VS Awesome-GEE

Compare awesome-spectral-indices vs Awesome-GEE and see what are their differences.

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awesome-spectral-indices Awesome-GEE
4 1
761 843
4.6% 0.0%
5.9 0.0
2 days ago over 1 year ago
Python
MIT License Creative Commons Zero v1.0 Universal
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-spectral-indices

Posts with mentions or reviews of awesome-spectral-indices. We have used some of these posts to build our list of alternatives and similar projects.

Awesome-GEE

Posts with mentions or reviews of Awesome-GEE. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing awesome-spectral-indices and Awesome-GEE you can also consider the following projects:

biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

python-geospatial - A collection of Python packages for geospatial analysis with binder-ready notebook examples

wxee - A Python interface between Earth Engine and xarray for processing time series data

whitebox - WhiteboxTools Python Frontend [Moved to: https://github.com/giswqs/whitebox-python]

detectree - Tree detection from aerial imagery in Python

whitebox-python - WhiteboxTools Python Frontend

linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.

ME-GIS - GIS files created by the ME-DEM team.

TouchTerrain_for_CAGEO - 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

manjaro-linux - Shell scripts for setting up Manjaro Linux for Python programming and deep learning