  Existing technologies for distributed light-field mapping and light pollution
monitoring (LPM) rely on either remote satellite imagery or manual light
surveying with single-point sensors such as SQMs (sky quality meters). These
modalities offer low-resolution data that are not informative for dense
light-field mapping, pollutant factor identification, or sustainable policy
implementation. In this work, we propose LightViz -- an interactive software
interface to survey, simulate, and visualize light pollution maps in real-time.
As opposed to manual error-prone methods, LightViz (i) automates the
light-field data collection and mapping processes; (ii) provides a platform to
simulate various light sources and intensity attenuation models; and (iii)
facilitates effective policy identification for conservation.
  To validate the end-to-end computational pipeline, we design a distributed
light-field sensor suit, collect data on Florida coasts, and visualize the
distributed light-field maps. In particular, we perform a case study at St.
Johns County in Florida, which has a two-decade conservation program for
lighting ordinances. The experimental results demonstrate that LightViz can
offer high-resolution light-field mapping and provide interactive features to
simulate and formulate community policies for light pollution mitigation. We
also propose a mathematical formulation for light footprint evaluation, which
we integrated into LightViz for targeted LPM in vulnerable communities.
