There are 11 repositories under landsat topic.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A ready-to-use curated list of Spectral Indices for Remote Sensing applications.
A curated list of resources focused on Machine Learning in Geospatial Data Science.
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray
An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.
Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.
Search and download Landsat scenes from EarthExplorer.
Automated download of LANDSAT data from USGS website
Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:
Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).
Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.
On-Demand Earth System Data Cubes (ESDCs) in Python
A serverless Landsat tiles server using AWS Lambda
a deep model that segments water on multispectral images
Land Surface Temperature from Landsat on Google Earth Engine
deck.gl layers and WebGL modules for client-side satellite imagery analysis
Satellite image processing pipeline to classify land-cover and land-use
Search, composite, and download Google Earth Engine imagery.
Visualizing ASTER and LANDSAT satellite data using THREE.js
Very simple API to download Landsat [1-5, 7, 8] data from Google
cuSTARFM is a GPU-enabled Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM)
Command-line runner for Google Earth Engine Playground scripts
Search, download, and preprocess Landsat imagery 🛰️
A ninja python package that unifies the Google Earth Engine ecosystem.
:warning: ARCHIVED :warning: get landsat 8 images and metadata
cuESTARFM is a GPU-enabled enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM)
Find and download Landsat and Sentinel-2 data from the public Google Cloud
Rio-Tiler plugin for public datasets
To download products provided by Theia land data center : https://theia.cnes.fr
An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The mapping extension for CoastSat and Zoo.
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.
generate masks from Landsat and MODIS land product QA band