The synergy of the MISE cloud masks for global cloud climatology

Iliana Genkova, Mike Wilson, Yuekui Yang, Guangyu Zhao, Bill Chapman, Eric Snodgrass, Dominic Mazzoni, Larry Di Girolamo

Research output: Contribution to journalConference article

Abstract

The Multi-angle Imaging SpectroRadiometer (MISR) currently provides three independently derived cloud mask products at 1.1 km spatial resolution. The Radiometric Camera-by-camera Cloud Mask (RCCM) is terrain-referenced and calculated for each of the nine MISR cameras, the Stereoscopically Derived Cloud Mask (SDCM) is feature-projected and uses radiances from one pair of the MISR cameras, and the Angular Signature Cloud Mask (ASCM) uses a band-differenced angular signature based on the two most oblique cameras viewing forward scattering radiation. While each mask has been extensively validated, each having its own strengths and weaknesses, there has been no effort to combine the strengths of all of the masks to create a single consensus product. We present an algorithm which addresses the problem and produces a so called 'consensus cloud mask' of improved performance, and elaborate on further cloud climatology applications.

Original languageEnglish (US)
Article number59790B
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5979
DOIs
StatePublished - Dec 1 2005
EventRemote Sensing of Clouds and the Atmosphere X - Bruges, Belgium
Duration: Sep 19 2005Sep 21 2005

Keywords

  • ASCM
  • Cloud climatology
  • Cloud mask
  • MISR
  • RCCM
  • SDCM

ASJC Scopus subject areas

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

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