ieo
awesome-spectral-indices
ieo | awesome-spectral-indices | |
---|---|---|
1 | 4 | |
5 | 763 | |
- | 2.5% | |
0.0 | 5.9 | |
over 1 year ago | 10 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
ieo
-
Best Python API for Landsat download?
I’ve written one to manage an archive for specific states and countries using Landsat Collection 2 Level 2 data: https://github.com/drguy/ieo. Just be aware that it doesn’t install properly, and I could use some help with setup.oy.
awesome-spectral-indices
-
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
-
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).
-
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?
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
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.
landsatlinks - A simple CLI interface to generate urls for Landsat Collection 2 Level 1 product bundles and download them
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