Imaging Venus' surface at night in the near-IR from above its clouds: New analytical models for the effective spatial resolution, illustrated with new Parker Solar Probe data
Anthony B. Davis
TL;DR
The paper develops an analytical framework for the atmospheric point-spread function (APSF) to quantify the effective spatial resolution of Venus nightside surface imaging through cloud scattering in the near-IR, using a blend of ballistic sub-cloud propagation and diffusive cloud treatments. It presents three progressively sophisticated models—treating the clouds as a thin diffusing plate, then as a two-layer finite-thickness medium with diffusion/P1 radiative transfer—to predict the ESR, finding FWHM values around 130 km across 1.0–1.2 μm. The framework is extended to Parker Solar Probe’s WISPR instrument, with empirical and theoretical footprints converging to about 150–162 km at 0.8 μm, validating the diffusion-based approach in a flyby context. Collectively, the work clarifies why Venus nightside imaging yields ESR near 100–130 km rather than the much smaller ~50 km values sometimes cited, and provides practical expressions linking atmospheric properties to image sharpness for current and future missions.
Abstract
There are a handful of spectral windows in the near-IR through which we can see down to Venus' surface on the night side of the planet. The surface of our sister planet has thus been imaged by sensors on Venus-orbiting platforms (Venus Express, Akatsuki) and during fly-by with missions to other planets (Galileo, Cassini). The most tantalizing finding, so far, is the hint of possible active volcanism. However, the thermal radiation emitted by Venus' searing surface (c. 475 degrees C) has to get through the opaque clouds between 50 and 70 km altitude, as well as the sub-cloud atmosphere. In the clouds, the light is not absorbed but scattered, indeed, many times. This results in blurring the surface imagery to the point where the smallest discernible feature is roughly 100 km in size, full-width half-max (FWHM), and this has been reproduced using numerical models. We propose a new analytical modeling framework for predicting the width of the atmospheric point-spread function (APSF) that determines the effective resolution of surface imaging from space. Our best estimates of the APSF width for the 1-to-1.2 micron spectral range are clustered around 130 km FWHM. Interestingly, this is somewhat larger than the accepted value of 100 km based on both visual image inspection and detailed numerical simulations. Lastly, we apply the new modeling framework to the fly-by imaging by the Parker Solar Probe in a somewhat shorter wavelength band.
