| Issue |
A&A
Volume 709, May 2026
|
|
|---|---|---|
| Article Number | A19 | |
| Number of page(s) | 14 | |
| Section | Astronomical instrumentation | |
| DOI | https://doi.org/10.1051/0004-6361/202659054 | |
| Published online | 28 April 2026 | |
Diffuse and specular brightness models applied to LEO satellites
Case study: The ONEWEB constellation
1
Instituto de Astronomia y Ciencias Planetarias, Universidad de Atacama,
Copayapu 485, Copiapó
1531772,
Atacama,
Chile
2
Centro de Astronomía (CITEVA), Universidad de Antofagasta,
Avenida U. de Antofagasta,
02800
Antofagasta,
Chile
3
Department of Astronomy and Space Science, Chungbuk National University,
28644
Cheongju,
Korea
4
Chungbuk National University Observatory,
28644
Cheongju,
Korea
5
University of Southern Denmark, Department of Physics, Chemistry and Pharmacy,
SDU-Galaxy, Campusvej 55,
5230,
Odense M,
Denmark
6
European Southern Observatory,
Alonso de Córdova 3107, Vitacura,
Región Metropolitana,
Chile
7
Chilean Low Earth Orbit satellites (CLEOSat),
Chile
★ Corresponding authors: This email address is being protected from spambots. You need JavaScript enabled to view it.
; This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
20
January
2026
Accepted:
7
March
2026
Abstract
Context. To better understand the observed brightness of low Earth orbit satellites, we must characterize their reflectivity, which in turn depends importantly on their bus designs. The reflectivity of a body can be described by Lambert’s law, in terms of its albedo, cross-sectional area, range (distance), phase angles, and the mixing coefficient between diffuse and specular reflection components.
Aims. We aim to analyze the reflectivity of more than 300 ONEWEB satellites using the diffuse Lambertian sphere, diffuse and specular Lambertian sphere, and the relative reflectance brightness models.
Methods. Astrometric and photometric measurements, plus two-line elements (TLE) orbital information were used to compute the apparent and range-corrected magnitude, as well as the relevant angles related to the orientation of the Sun, the satellites, and the observer. A differential evolution Monte Carlo algorithm was used to obtain each model’s parameters that best fit the data.
Results. All models can fit the mean observed brightness of the satellites but cannot describe the observed phase-angle-dependent brightness modulations. The residuals in all cases have a standard deviation of ∼0.6 magnitudes, while the observational photometric errors are on average ∼0.2 magnitudes.
Conclusions. The studied brightness models, which depend on the relative Sun-body-observer position but are independent of the specific orientation of the reflecting body surface(s) with respect to the observer, cannot entirely explain the observed brightness of the ONEWEB constellation satellites. Accounting for the real shape and the changing attitude of the satellite, as well as the effect of Earth’s albedo is needed to better explain satellite photometric observations.
Key words: light pollution / methods: observational / techniques: photometric
© The Authors 2026
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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