pylandtemp
awesome-spectral-indices
| pylandtemp | awesome-spectral-indices | |
|---|---|---|
| 1 | 4 | |
| 149 | 763 | |
| 0.0% | 2.5% | |
| 0.0 | 5.9 | |
| about 1 year ago | 9 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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pylandtemp
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pylandtemp: A Python package for computing land surface temperature from Landsat satellite imagery.
You can check it out here on GitHub: https://github.com/pylandtemp/pylandtemp
awesome-spectral-indices
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Any tips or resources for vegetation analysis using 8 band imagery compared to 4 band?
You might find this github repo useful: https://github.com/awesome-spectral-indices/awesome-spectral-indices
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Best indices to use for detecting shallow water
Have you tried the augmented NDWI? That link has a ton of other indices too (scroll down for water).
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Vegetation Indices to determine the change in vegetation area using aerial images
How do you define vegetation cover to begin with? You'll need some kind of definition that uses RGB only, if you want to use these images. Have a look at this listto see if there's a vegetation index that uses RGB only.
- Spectral Indices for Remote Sensing Applications
What are some alternatives?
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.
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
mapa - Create 3d-printable STLs from satellite 🌍 elevation data
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
wxee - A Python interface between Earth Engine and xarray for processing time series data
aionasa - An async python wrapper for NASA open APIs.
detectree - Tree detection from aerial imagery in Python
felicette - Satellite imagery for dummies.
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
geoiter - A simple tool to iterate center coordinates within given boundaries
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