IMAGE FUV WIC dayglow-corrected images

Background-corrected Far-Ultraviolet (FUV) images of the northern hemisphere between 2000-2002 based on the method described by Ohma et al. (2023). The full code with documentation of code and file variables are available at https://github.com/aohma/fuvpy/ and a published version is available from https://doi.org/10.5281/zenodo.8085691.
The images are taken by the The Wideband Imaging Camera (WIC) on the Imager for Magnetopause-to-Aurora Global Exploration (IMAGE) mission. We thank S. B. Mende and the IMAGE FUV team at the Space Sciences Laboratory at UC Berkeley for the IMAGE FUV data. The original images can be accessed at https://spdf.gsfc.nasa.gov/pub/data/image/fuv/ and were processed using the FUVIEW3 software available from http://sprg.ssl.berkeley.edu/image/.
Scientific Publication: Ohma, A., Madelaire, M., Laundal, K. M., Reistad, J. P., Hatch, S. M., Gasparini, S., and Walker, S. J. (2023). Background removal from global auroral images: Data driven dayglow modelling. Earth Planet. Phys., 7(6), 1–11 doi: 10.26464/epp2023051

搜集汇总

背景与挑战

背景概述

该数据集包含2000-2002年期间北半球的背景校正远紫外图像，基于IMAGE任务的WIC相机拍摄，采用Ohma等人（2023）的方法进行日辉校正处理。数据集提供了完整的代码和文档资源，适用于全球极光图像研究，并已通过科学出版物验证。