awesome-spectral-indices
linqit
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| awesome-spectral-indices | linqit | |
|---|---|---|
| 4 | 2 | |
| 761 | 245 | |
| 4.6% | - | |
| 5.9 | 3.5 | |
| 2 days ago | 11 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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
linqit
What are some alternatives?
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
Manga-Tagger - The only tool you'll need to rename and write metadata to your digital manga library
wxee - A Python interface between Earth Engine and xarray for processing time series data
pytube - A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.
detectree - Tree detection from aerial imagery in Python
fypp - Python powered Fortran preprocessor
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
smart-imports - smart imports for Python
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.
forge - forge new function objects with reinit-ed default params