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awesome-spectral-indices
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| geemap | awesome-spectral-indices | |
|---|---|---|
| 17 | 4 | |
| 3,182 | 755 | |
| 2.5% | 3.3% | |
| 9.2 | 5.9 | |
| 3 days ago | 12 days ago | |
| Python | Python | |
| MIT License | MIT License |
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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.
geemap
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I'm a senior in my CS major and it's incredible I didn't hear about GIS projects until now. Glad to be here.
Try out Google Earth Engine and browse through it's catalogue to get a feel for what's available. GEE allows you to work with global datasets and immediately see a preview of the results (there's also geemap if you prefer doing this from a Python notebook instead of the online JS editor)
- Getting started with Google Earth Engine
- I'm building an IDE and open source library to make it easier to work with geospatial data using Python
- Opinion on Earth Engine or Planetary Computer?
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Confusion Matrix using Google Earth Engine Python API
Suggest using the ML module from geemap https://geemap.org/ Iv had a lot of success with that library.
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Does anyone use Google Earth Engine?
Check our Jupyter notebook GEEMAP package it's awesome! https://geemap.org/ Just last month Google opened up Google Earth Engine for commerical use. as Microsoft has Planetary Computer now.
- Google Earth Engine Tutorials
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Creating a timelapse of an area with satellite data
This Jupyter notebook package is great for working with Google Earth Engine and does timelapse https://geemap.org/
- Remote sensing class that uses Google Earth Engine worth taking?
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Software suggestion?
Good place to start is: https://geemap.org/
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?
streamlit - Streamlit — A faster way to build and share data apps.
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
opentopodata - Open alternative to the Google Elevation API!
wxee - A Python interface between Earth Engine and xarray for processing time series data
streamlit-geospatial - A multi-page streamlit app for geospatial
detectree - Tree detection from aerial imagery in Python
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
Awesome-GEE - A curated list of Google Earth Engine resources
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.
flood-sim - This repo simulates water flooding.
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