Landsat Python Packages

geemap

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

ee-extra

A ninja python package that unifies the Google Earth Engine ecosystem.

eodag

Earth Observation Data Access Gateway

omnicloudmask

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

dea-tools

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

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.

cubo

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

coastseg

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

omniwatermask

Python library for high-accuracy water segmentation in satellite and aerial imagery, combining deep learning with NDWI and vector data for robust detection across multiple sensors and resolutions.

ndvi2gif

Multi-seasonal remote sensing analysis suite: composites, land cover classification, phenology, hydroperiod and SAR processing with Google Earth Engine

pysits

Python wrapper for the sits R package

pymasker

generate masks from Landsat and MODIS land product QA band

rio-tiler-pds

Rio-Tiler plugin for public datasets

landsat578

Very simple API to download Landsat [1-5, 7, 8] data from Google

landsatxplore

Search and download Landsat scenes from EarthExplorer.

harmonized-landsat-sentinel

Harmonized Landsat Sentinel (HLS) search and download utility

espatools

A lightweight Python package for simple loading of Landsat imagery as NumPy arrays

pylandsat

Search, download, and preprocess Landsat imagery 🛰️

fels

Find and download Landsat and Sentinel-2 data from the public Google Cloud

loam-geo

loam-geo — an open-source Python alternative to AWS SageMaker Geospatial (which closed to new customers in 2026). Process Sentinel-2 & Landsat imagery over STAC/COGs: spectral indices (NDVI, band-math), cloud masking, reproject/resample, temporal composites, reverse-geocoding. Execution-agnostic, runs in any region.

callusgs

callusgs Aims To Be A Complete Implementation Of USGS's machine-to-machine API (v1.5.0)

espa-api-client

Python interface to espa-api

satelliteimage

Python package to process images from Landsat tellites and return geographic information, cloud mask, numpy array, geotiff.

gridfia

Turn FIA plot data into gridded maps of biomass, carbon & timber volume — outputs GeoTIFF and Zarr