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

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.

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.

coastseg

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

landsatxplore

Search and download Landsat scenes from EarthExplorer.

cubo

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

pylandsat

Search, download, and preprocess Landsat imagery 🛰️

espatools

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

harmonized-landsat-sentinel

Harmonized Landsat Sentinel (HLS) search and download utility

callusgs

Implementation of USGS's machine-to-machine API (v1.5.0)

satelliteimage

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

rio-tiler-pds

Get mercator tile from cloud hosted dataset such as CBERS-4, Sentinel-2, Sentinel-1 and Landsat-8 AWS PDS.

fels

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

pymasker

generate masks from Landsat and MODIS land product QA band

xlandsat

Analyze Landsat remote sensing images using xarray

espa-api-client

Python interface to espa-api

stack-composed

Compute each pixel value of all the images in the input stack for generate the composed of the median, maximum value, pixels valid, last pixel valid and others.

gridfia

Spatial raster analysis for USDA Forest Service BIGMAP data

lsru

:mag: :globe_with_meridians:Query and Order Landsat Surface Reflectance data via ESPA

pysits

Python wrapper for the sits R package