landsat8image
awesome-spectral-indices
| landsat8image | awesome-spectral-indices | |
|---|---|---|
| 1 | 4 | |
| 45 | 763 | |
| - | 2.5% | |
| 0.0 | 5.9 | |
| about 2 years ago | 9 days ago | |
| Python | Python | |
| MIT License | MIT License |
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landsat8image
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?
pylandtemp - Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
pyrgg - 🔧 Python Random Graph Generator
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Shreddit - A fork of x89's Reddit post/comment mass deletion program, which they stopped updating.
wxee - A Python interface between Earth Engine and xarray for processing time series data
google-images-download - Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
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.
textshot - Python tool for grabbing text via screenshot
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