awesome-spectral-indices
earthpy
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| awesome-spectral-indices | earthpy | |
|---|---|---|
| 4 | 1 | |
| 761 | 477 | |
| 4.6% | 0.4% | |
| 5.9 | 6.0 | |
| 2 days ago | about 1 month ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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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
earthpy
What are some alternatives?
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
rasterio - Rasterio reads and writes geospatial raster datasets
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
pymilvus - Python SDK for Milvus.
wxee - A Python interface between Earth Engine and xarray for processing time series data
dashmap.io - DashMap is an open source web platform that gathers, analyses and visualises urban data.
detectree - Tree detection from aerial imagery in Python
GOTURN - Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
clocker.in
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
topojson - Encode spatial data as topology in Python! 🌍 https://mattijn.github.io/topojson