landsatlinks
awesome-spectral-indices
| landsatlinks | awesome-spectral-indices | |
|---|---|---|
| 1 | 4 | |
| 15 | 766 | |
| - | 2.9% | |
| 0.0 | 6.3 | |
| over 1 year ago | 12 days ago | |
| Python | Python | |
| MIT License | MIT License |
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landsatlinks
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Landsat Collection 2 Metadata Subsetting Made Easy (python tool)
I was looking for a tool that would do filtering and provide download links for collection 2 recently and found landsatlinks. Works like a charm, you can use the links directly or with a download manager
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?
ieo - Irish Earth Observation (IEO) remote sensing data processing Python module
biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
usgs_landsat_collection_2_metadata_subsetting_made_easy - Python function that allows you to subset Landsat Collection 2 metadata (by row, path, tier, cloud cover, dates, and mission) and save image IDs in a txt file for later ingestion by M2M Landsat API. Compatible with Landsat 4,5,7,8 Level 1 and Level 2.
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
wxee - A Python interface between Earth Engine and xarray for processing time series data
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
earthpy - A package built to support working with spatial data using open source python
pylandtemp - Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.