landsat

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

Open-source Jupyter Notebooks and Python tools for geospatial analysis with Digital Earth Australia, Open Data Cube, and Xarray

Earth Observation Data Access Gateway

Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

An R package 📦 making it easy to query, preview, download and preprocess multiple kinds of spatial data 🛰 via R. All beta.

Search and download Landsat scenes from EarthExplorer.

Google Earth Engine implementation of the LandTrendr spectral-temporal segmentation algorithm. For documentation see:

On-Demand Earth System Data Cubes (ESDCs) in Python

Automated download of LANDSAT data from USGS website

Awesome Spectral Indices for the Google Earth Engine JavaScript API (Code Editor).

OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.

Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

a deep model that segments water on multispectral images

A serverless Landsat tiles server using AWS Lambda

Land Surface Temperature from Landsat on Google Earth Engine

Earth Observation Data Analysis Library

An interactive toolbox for downloading satellite imagery, applying image segmentation models, mapping shoreline positions and more. The mapping extension for CoastSat and Zoo.