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This paper introduces a high resolution, machine learning-ready heliophysics dataset derived from NASA's Solar Dynamics Observatory (SDO), specifically designed to advance machine learning (ML) applications in solar physics and space…

The Solar Dynamics Observatory (SDO), launched in 2010 as part of NASA's Living With a Star (LWS) program, represents a methodological transition in heliophysics: from identifying discrete solar events to characterizing the continuously…

Solar and Stellar Astrophysics · Physics 2026-05-25 Madhulika Guhathakurta

We present a Python tool to generate a standard dataset from solar images that allows for user-defined selection criteria and a range of pre-processing steps. Our Python tool works with all image products from both the Solar and…

Solar and Stellar Astrophysics · Physics 2021-08-17 Carl Shneider , Andong Hu , Ajay K. Tiwari , Monica G. Bobra , Karl Battams , Jannis Teunissen , Enrico Camporeale

Understanding and monitoring the complex and dynamic processes of the Sun is important for a number of human activities on Earth and in space. For this reason, NASA's Solar Dynamics Observatory (SDO) has been continuously monitoring the…

SDO-FM is a foundation model using data from NASA's Solar Dynamics Observatory (SDO) spacecraft; integrating three separate instruments to encapsulate the Sun's complex physical interactions into a multi-modal embedding space. This model…

In this dataset we provide a comprehensive collection of magnetograms (images quantifying the strength of the magnetic field) from the National Aeronautics and Space Administration's (NASA's) Solar Dynamics Observatory (SDO). The dataset…

Solar and Stellar Astrophysics · Physics 2024-02-13 Laura E. Boucheron , Ty Vincent , Jeremy A. Grajeda , Ellery Wuest

As a part of NASA's Heliophysics System Observatory (HSO) fleet of satellites,the Solar Dynamics Observatory (SDO) has continuously monitored the Sun since2010. Ultraviolet (UV) and Extreme UV (EUV) instruments in orbit, such asSDO's…

NASA's Solar Dynamics Observatory (SDO) mission gathers 1.4 terabytes of data each day from its geosynchronous orbit in space. SDO data includes images of the Sun captured at different wavelengths, with the primary scientific goal of…

Image and Video Processing · Electrical Eng. & Systems 2023-05-05 Ali Zafari , Atefeh Khoshkhahtinat , Piyush M. Mehta , Nasser M. Nasrabadi , Barbara J. Thompson , Daniel da Silva , Michael S. F. Kirk

NASA's Solar Dynamics Observatory (SDO) was launched 11 February 2010 with 3 instruments on board, including the Helioseismic and Magnetic Imager (HMI). Since beginning normal operations on 1 May 2010, HMI has observed the Sun's entire…

We provide a large image parameter dataset extracted from the Solar Dynamics Observatory (SDO) mission's AIA instrument, for the period of January 2011 through the current date, with the cadence of six minutes, for nine wavelength channels.…

Solar and Stellar Astrophysics · Physics 2019-07-31 Azim Ahmadzadeh , Dustin J. Kempton , Rafal A. Angryk

Understanding space weather is vital for the protection of our terrestrial and space infrastructure. In order to predict space weather accurately, large amounts of data are required, particularly in the extreme ultraviolet (EUV) spectrum.…

Solar and Stellar Astrophysics · Physics 2024-09-02 Manuel Indaco , Daniel Gass , William James Fawcett , Richard Galvez , Paul J. Wright , Andrés Muñoz-Jaramillo

The solar-stellar connection provides a unique framework for understanding magnetic activity and atmospheric heating across a broad spectrum of stars. Solar Dynamics Observatory (SDO) of NASA, equipped with the Helioseismic and Magnetic…

Solar and Stellar Astrophysics · Physics 2026-02-20 Shin Toriumi

Self-supervised pre-training bears potential to generate expressive representations without human annotation. Most pre-training in Earth observation (EO) are based on ImageNet or medium-size, labeled remote sensing (RS) datasets. We share…

Computer Vision and Pattern Recognition · Computer Science 2023-05-30 Yi Wang , Nassim Ait Ali Braham , Zhitong Xiong , Chenying Liu , Conrad M Albrecht , Xiao Xiang Zhu

Solar activity plays a quintessential role in influencing the interplanetary medium and space-weather around the Earth. Remote sensing instruments onboard heliophysics space missions provide a pool of information about the Sun's activity…

The Solar Dynamics Observatory (SDO), a NASA multi-spectral decade-long mission that has been daily producing terabytes of observational data from the Sun, has been recently used as a use-case to demonstrate the potential of machine…

We describe here the application of a machine learning method for flare forecasting using vectors of properties extracted from images provided by the Helioseismic and Magnetic Imager in the Solar Dynamics Observatory (SDO/HMI). We also…

Solar and Stellar Astrophysics · Physics 2019-07-17 Michele Piana , Cristina Campi , Federico Benvenuto , Sabrina Guastavano , Anna Maria Massone

Machine learning is starting to be used in almost every industry and academic research, and solar physics is no exception. A newly developed machine learning model named MagNet helps us to tackle some of the most serious challenges in data…

Solar and Stellar Astrophysics · Physics 2026-02-27 Aryiadna Yesmanchyk , Yan Xu , Jason T. L. Wang , Haodi Jiang , Chunhui Xu , Haimin Wang

The Helioseismic and Magnetic Imager (HMI) instrument is a major component of NASA's Solar Dynamics Observatory (SDO) spacecraft. Since beginning normal science operations on 1 May 2010, HMI has operated with remarkable continuity, e.g.…

Solar and Stellar Astrophysics · Physics 2018-02-07 J. Todd Hoeksema , Charles S. Baldner , Rock I. Bush , Jesper Schou , Philip H. Scherrer

Both NASA's Solar Dynamics Observatory (SDO) and the JAXA/NASA Hinode mission include spectropolarimetric instruments designed to measure the photospheric magnetic field. SDO's Helioseismic and Magnetic Imager (HMI) emphasizes full-disk…

With the advent of deep learning for computer vision tasks, the need for accurately labeled data in large volumes is vital for any application. The increasingly available large amounts of solar image data generated by the Solar Dynamic…

Computer Vision and Pattern Recognition · Computer Science 2020-04-01 Toqi Tahamid Sarker , Juan M. Banda
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