eo-learn

About

eo-learn is a modular Python framework for acquiring and processing spatiotemporal Earth-observation imagery. Its EOPatch, EOTask, and EOWorkflow abstractions support repeatable sequences for Sentinel Hub data, masking, co-registration, feature extraction, sampling, and machine-learning preparation. It bridges remote-sensing workflows and the Python data-science ecosystem.

Features

• Compose reusable EOTask processing workflows
• Acquire imagery from Sentinel Hub services
• Apply cloud, snow, and quality masks
• Co-register spatiotemporal image sequences
• Extract features and prepare machine-learning samples
• Read and write GeoTIFF, Zarr, and vector data

Related tools

GeoDjango

Django's geographic web framework for spatial models, queries, and GIS web apps.

91.4k

CesiumJS

Open-source JavaScript library for world-class 3D globes and maps with WebGL.

15.8k

deck.gl

WebGL-powered framework for visual exploratory data analysis of large datasets.

14.6k

QGIS

Free and open-source cross-platform desktop GIS. Create, edit, visualize, analyze and publish geospatial data.

14.5k