sentinel2-cloud-detector
awesome-spectral-indices
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| sentinel2-cloud-detector | awesome-spectral-indices | |
|---|---|---|
| 3 | 4 | |
| 399 | 755 | |
| 3.5% | 3.8% | |
| 5.9 | 5.9 | |
| 4 months ago | 17 days ago | |
| Python | Python | |
| Creative Commons Attribution Share Alike 4.0 | MIT License |
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sentinel2-cloud-detector
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Earth 2020 in 3 seconds, extracted from over 3 petabytes of satellite data | [OC]
You can find more info in this Jupyter notebook example, the first part is downloading the data (for this you need the account), but if you start later on with the assumption that you bring the data yourself. You can open the ticket if you run into any issues :)
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?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
wxee - A Python interface between Earth Engine and xarray for processing time series data
eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
detectree - Tree detection from aerial imagery in Python
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
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
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.
Awesome-GEE - A curated list of Google Earth Engine resources