Tools tagged with "Geostationary Earth Orbit"

Rain over Africa

Provides spaceborn precipitation estimates for Africa using deep learning and geostationary imagery.

Data

The Rain over Africa (RoA) dataset offers spaceborn precipitation estimates for Africa, derived from geostationary imagery using convolutional and quantile regression neural networks. It includes uncertainty estimates and is updated at most yearly, licensed under CC BY 4.0. This dataset is part of the Registry of Open Data on AWS, making it discoverable on AWS Data Exchange.

GOES Imagery Viewer

Explore real-time and archived imagery from NOAA's GOES-East and GOES-West satellites.

DataTooling

This platform provides a comprehensive viewer for Geostationary Operational Environmental Satellite (GOES) imagery, offering various channels and RGB composites. Users can access data for regions like the Continental U.S. (CONUS) to monitor weather phenomena and environmental conditions. The site supports real-time updates and historical data viewing for meteorological and climate applications.

Pytroll

A modular, open-source Python framework for processing Earth Observation satellite data.

Conferences and Workshops

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Pytroll is an easy-to-use, modular, free, and open-source Python framework designed for the processing of Earth Observation (EO) satellite data. Its packages are suitable for both research and development (R&D) environments and 24/7 operational production. The framework focuses on atmospheric applications and imaging sensors, supporting a wide range of Earth sciences.