CloudCT 3D volumetric tomography: considerations for imager preference, comparing visible light, short-wave infrared, and polarized imagers

Masada Tzabari, Vadim Holodovsky, Omer Shubi, Eshkol Eytan, Orit Altaratz, Ilan Koren, Anna Aumann, Klaus Schilling, Yoav Y. Schechner

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

Abstract

The CloudCT project is a mission that aims to demonstrate 3D volumetric scattering tomography of clouds. A formation of ten nanosatellites will simultaneously image cloud fields from multiple directions, at 20m nadir ground resolution. Based on this data, scattering tomography will seek the 3D volumetric distribution of cloud properties. We quantitatively compare visible polarized imagers to other imagers considered for the mission. We investigated specifically visible light and short-wave infra-red imagers. Each possibility was considered using Large Eddy Simulation clouds. Major consideration criteria are tomographic quality in the face of sensor and photon noise, calibration errors and stray light. We check the sensitivity to unknown stray light and uncertainty in gain calibration.

Original languageEnglish
Title of host publicationPolarization Science and Remote Sensing X
EditorsMeredith K. Kupinski, Joseph A. Shaw, Frans Snik
ISBN (Electronic)9781510645042
DOIs
StatePublished - 2021
EventPolarization Science and Remote Sensing X 2021 - San Diego, United States
Duration: 1 Aug 20215 Aug 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11833

Conference

ConferencePolarization Science and Remote Sensing X 2021
Country/TerritoryUnited States
CitySan Diego
Period1/08/215/08/21

Keywords

  • 3D scattering tomography
  • Polarization
  • Space-borne imagery

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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