Retrieving the Red Edge on Earth-like Planets with Heterogeneous Clouds and Surfaces
Zachary Burr, Mario Damiano, Vincent Kofman, Renyu Hu, Geronimo L. Villanueva

TL;DR
This study extends the ExoReL retrieval framework to include wavelength-dependent surface albedo, demonstrating improved detection of surface features and the potential for biosignature identification on Earth-like exoplanets.
Contribution
It introduces a method to account for surface heterogeneity in reflectance spectroscopy, enhancing the accuracy of exoplanet characterization.
Findings
Including wavelength-dependent albedo reduces degeneracies in spectral analysis.
The method successfully detects surface albedo steps at ~0.7 and ~1.1 μm.
The approach supports using the vegetation red edge as a biosignature.
Abstract
The detection and characterization of potentially habitable exoplanets is one of the chief goals of astrophysics for the coming decades. Imaging in reflected light is well suited for characterizing Earth-like planets, as much can be learned about these planets in this wavelength range (i.e., ~0.3-2 {\mu}m). Several studies have been conducted to determine the abilities and limitations of reflectance spectroscopy, but most previous studies assumed a homogeneous atmospheric and surface composition. Here we investigate how heterogeneities in the atmosphere and surface of an Earth-like planet impact retrieval results. We extend the ExoReL retrieval framework to include a step function for retrieving wavelength varying surface albedo. We then use it to retrieve on visible-to-near-infrared spectra of realistic 3D Earth models with different surface features in view and varying cloud…
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