Mapping the surface properties of the Asal-Ghoubbet rift by massive inversion of the Hapke model on Pleiades multiangular images
A massive inversion of the Hapke model is carried out over the Asal-Ghoubbet rift (Republic of Djibouti) using high-resolution multiangular Pleiades images. This is the first time that such an inversion is performed on Earth over an entire image, previous studies having focused on planetary surfaces. This work addresses challenges such as atmospheric and geometrical corrections of these images to produce parameter maps. The use of fast Bayesian inversion significantly reduces computation times thanks to efficient exploration of the parameter space and leads to improved prediction. The parameters of the Hapke model are also interpreted in terms of surface physical properties, thanks to field measurements. Single scattering albedo is the parameter extracted with the greatest reliability, although its validation is still difficult due to the absence of a simple formula linking it to surface reflectance. Our study reveals a close relationship between photometric roughness and single scattering albedo, indicating that accurate extraction of the former is highly dependent on values of the latter, which must be below 0.8 for reliable estimation. Finally, the correlation between phase function parameters and grain properties depends on surface type and material properties. • Bidirectional soil reflectance is extracted from multiangular Pleiades images. • Fast Bayesian inversion of the Hapke model is applied to an entire region. • Retrieved parameters are compared with ground measurements. • The parameter maps produced are interpreted in terms of surface properties.
Authors
- C. Ferrari
- Dan T. Nguyen
- Aimé Meygret
- Sophie Coustance
- Antoine Łucas (ORCID: https://orcid.org/0000-0003-2192-4416)
- Sébastien Marcq
- S. Douté (ORCID: https://orcid.org/0000-0003-3130-5336)
- Stéphane Jacquemoud (ORCID: https://orcid.org/0000-0002-1500-5256)
Institutions
- Centre National de la Recherche Scientifique (FR)
- Institut de physique du globe de Paris (FR)
- Université Paris Cité (FR)
- Centre National d'Études Spatiales (FR)
- Institut de Planétologie et d'Astrophysique de Grenoble (FR)
Publication Details
- Journal
- Remote Sensing of Environment
- Published
- 2025-03-07
- DOI
- https://doi.org/10.1016/j.rse.2025.114691
- Citations
- 3
- Primary Topic
- Remote Sensing and LiDAR Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.40