Radiometry for Nighttime Sub-Cloud Imaging of Venus' Surface in the Near-InfraRed Spectrum
Brian M. Sutin, Anthony B. Davis, Kevin H. Baines, James A. Cutts,, Leonard I. Dorsky

TL;DR
This study demonstrates that radiometry does not limit near-infrared sub-cloud imaging of Venus's surface at night, confirming that modest cameras can achieve high-resolution imaging through detailed radiometric modeling.
Contribution
The paper provides a radiometric analysis confirming the feasibility of high-resolution nighttime surface imaging of Venus using modest subcloud cameras.
Findings
Radiometry does not limit near-IR sub-cloud imaging.
Subcloud cameras can achieve high-resolution surface imaging.
Modeling confirms the effectiveness of modest imaging setups.
Abstract
Does radiometry (e.g., signal-to-noise ratio) limit the performance of near-IR subcloud imaging of our sister planet's surface at night? It does not. We compute subcloud radiometry using above-cloud observations, an assumed ground temperature, sub-cloud absorption and emission modeling, and Rayleigh scattering simulations. We thus confirm both archival and recent studies that deployment of a modest subcloud camera does enable high-resolution surface imaging.
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Taxonomy
TopicsPlanetary Science and Exploration · Astro and Planetary Science · Space Exploration and Technology
