awesome-spectral-indices VS pylandtemp

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

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awesome-spectral-indices pylandtemp
4 1
763 149
2.5% 0.0%
5.9 0.0
11 days ago about 1 year ago
Python Python
MIT License Apache License 2.0
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.

pylandtemp

Posts with mentions or reviews of pylandtemp. 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 pylandtemp you can also consider the following projects:

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

landsat8image - A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.

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

mapa - Create 3d-printable STLs from satellite 🌍 elevation data

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

detectree - Tree detection from aerial imagery in Python

aionasa - An async python wrapper for NASA open APIs.

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

felicette - Satellite imagery for dummies.

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

geoiter - A simple tool to iterate center coordinates within given boundaries