Colour remote sensing of the impact of artificial light at night (II): Calibration of DSLR-based images from the International Space Station
Alejandro S\'anchez de Miguel, Jaime Zamorano, Martin Aub\'e and, Jonathan Bennie, Jes\'us Gallego, Francisco Oca\~na, Donald R.Pettit, and William L.Stefanov, Kevin J.Gaston

TL;DR
This paper details a comprehensive calibration method for DSLR images taken from the ISS to accurately analyze artificial light at night, enabling valuable spatial and temporal light data across the globe.
Contribution
It introduces a detailed calibration pipeline for DSLR nighttime images from the ISS, enhancing their usability for studying artificial light at night.
Findings
Calibration steps improve image accuracy for light analysis
Processed images enable reliable spatial and temporal light variation studies
Method applied successfully to an example image of Spain
Abstract
Nighttime images taken with DSLR cameras from the International Space Station (ISS) can provide valuable information on the spatial and temporal variation of artificial nighttime lighting on Earth. In particular, this is the only source of historical and current visible multispectral data across the world (DMSP/OLS and SNPP/VIIRS-DNB data are panchromatic and multispectral in the infrared but not at visible wavelengths). The ISS images require substantial processing and proper calibration to exploit intensities and ratios from the RGB channels. Here we describe the different calibration steps, addressing in turn Decodification, Linearity correction (ISO dependent), Flat field/Vignetting, Spectral characterization of the channels, Astrometric calibration/georeferencing, Photometric calibration (stars)/Radiometric correction (settings correction - by exposure time, ISO, lens…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
