Distributed sky imaging radiometry and tomography

Amit Aides, Aviad Levis, Vadim Holodovsky, Yoav Y. Schechner, Dietrich Althausen, Adi Vainiger

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The composition of the atmosphere is significant to our ecosystem. Accordingly, there is a need to sense distributions of atmospheric scatterers such as aerosols and cloud droplets. There is growing interest in recovering these scattering fields in three-dimensions (3D). Even so, current atmospheric observations usually use expensive and unscalable equipment. Moreover, current analysis retrieves partial information (e.g., cloud-base altitudes, water droplet size at cloud tops) based on simplified 1D models. To advance observations and retrievals, we develop a new computational imaging approach for sensing and analyzing the atmosphere, volumetrically. Our approach comprises a ground-based network of cameras. We deployed it in conjunction with additional remote sensing equipment, including a Raman lidar and a sunphotometer, which provide initialization for algorithms and ground truth. The camera network is scalable, low cost, and enables 3D observations in high spatial and temporal resolution. We describe how the system is calibrated to provide absolute radiometric readouts of the light field. Consequently, we describe how to recover the volumetric field of scatterers, using tomography. The tomography process is adapted relative to prior art, to run on large-scale domains and being in-situ within scatterer fields. We empirically demonstrate the feasibility of tomography of clouds, using ground-based data.

Original languageEnglish
Title of host publicationIEEE International Conference on Computational Photography, ICCP 2020
ISBN (Electronic)9781728152301
StatePublished - Apr 2020
Event2020 IEEE International Conference on Computational Photography, ICCP 2020 - Saint Louis, United States
Duration: 24 Apr 202026 Apr 2020

Publication series

NameIEEE International Conference on Computational Photography, ICCP 2020


Conference2020 IEEE International Conference on Computational Photography, ICCP 2020
Country/TerritoryUnited States
CitySaint Louis


  • Computational Photography
  • Computed Tomography
  • Imaging Radiometry
  • Internet of Things
  • Sensor Networks

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Signal Processing
  • Media Technology
  • Instrumentation


Dive into the research topics of 'Distributed sky imaging radiometry and tomography'. Together they form a unique fingerprint.

Cite this