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.

Satellite image time series in R

Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and Xarray

Earth Observation Data Access Gateway

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

Earth Observation Data Analysis Library

deck.gl layers and WebGL modules for client-side satellite imagery analysis

Visualizing ASTER and LANDSAT satellite data using THREE.js