Abstract

Determination of aerosol optical properties with orbital passive remote sensing is a difficult task, as observations often have limited information. Multi-angle instruments, such as the Multi-angle Imaging SpectroRadiometer (MISR) and the POlarization and Directionality of the Earth's Reflectances (POLDER), seek to address this by making information rich multi-angle observations, which can be used to better retrieve aerosol optical properties. The paradigm for such instruments is that each angle view is made from one platform, with, for example, a gimbaled sensor or multiple fixed view angle sensors. This restricts the observing geometry to a plane within the scene Bidirectional Reflectance Distribution Function (BRDF ) observed at the top of the atmosphere (TOA). New technological developments, however, support sensors on small satellites flying in formation, which could be a beneficial alternative. Such sensors may have only one viewing direction each, but the agility of small satellites allows one to control this direction and change it over time. When such agile satellites are flown in formation and their sensors pointed to the same location at approximately the same time, they could sample a distributed set of geometries within the scene BRDF . In other words, observations from multiple satellites can take a variety of view zenith and azimuth angles, and are not restricted to one azimuth plane as is the case with a single multi-angle instrument. It is not known, however, if this is as potentially capable as a multi-angle platform for the purposes of aerosol remote sensing. Using a systems engineering tool coupled with an information content analysis technique, we investigate the feasibility of such an approach for the remote sensing of aerosols. These tools test the mean results of all geometries encountered in an orbit. We find that small satellites in formation are equally capable as multi-angle platforms for aerosol remote sensing, as long as their calibration accuracies and measurement uncertainties are equivalent. As long as the viewing geometries are dispersed throughout the BRDF , it appears the quantity of view angles determines the information content of the observations, not the specific observation geometry. Given the smoothly varying nature of BRDF 's observed at the TOA, this is reasonable, and supports the viability of aerosol remote sensing with small satellites flying in formation. The incremental improvement in information content that we found with number of view angles also supports the concept of a resilient mission comprised of multiple satellites that are continuously replaced as they age or fail.

Highlights

  • Atmospheric aerosols play a potentially significant role in the global climate, both through direct scattering and absorption of solar radiation and indirectly by modifying clouds and local meteorology

  • Our hypothesis is that the information content” (IC) content contained in observations by small satellites in formation flight is comparable to that of multi-angle observations on one platform, where the primary difference is that such observations have a variety of view zenith and azimuth angles and are not restricted to one azimuth plane as is the case with a single multi-angle instrument

  • Because of the scale of our IC assessment results, we present a subset that illustrate the overall outcome in light of our goal to compare observations by formations of singleview instruments to a multi-angle instrument

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Summary

Introduction

Atmospheric aerosols play a potentially significant role in the global climate, both through direct scattering and absorption of solar radiation and indirectly by modifying clouds and local meteorology. POLDER observed a scene with up to 16 views in the along-track direction, with nine spectral channels at visible and near-infrared wavelengths. Three of those channels were sensitive to linear polarization (Fougnie et al, 2007; Hasekamp et al, 2011; Tanré et al, 2011; Dubovik et al, 2011). The right-hand box evaluates the IC that can be retrieved from the angular spread of measurements, at every instant of time, for every architecture We perform this assessment using Bayesian statistical techniques that connect simulated scenes to the potential geophysical parameter retrieval ability of a selected architecture. This assessment is performed for a variety of types of scenes, so that the aggregate result is more representative of global conditions

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