MIRCCM_004

MISR radiometric camera-by-camera Cloud Mask V004

Version 004
  • Abstract
    Multi-angle Imaging SpectroRadiometer (MISR) is an instrument designed to view Earth with cameras pointed in 9 different directions. As the instrument flies overhead, each piece of Earth's surface below is successively imaged by all 9 cameras, in each of 4 wavelengths (blue, green, red, and near-infrared). The goal of MISR is to improve our understanding of the fate of sunlight in Earth environment, as well as distinguish different types of clouds, particles and surfaces. Specifically, MISR monitors the monthly, seasonal, and long-term trends in three areas: 1) amount and type of atmospheric particles (aerosols), including those formed by natural sources and by human activities; 2) amounts, types, and heights of clouds, and 3) distribution of land surface cover, including vegetation canopy structure. MISR radiometric camera-by-camera Cloud Mask V004 contains the Radiometric camera-by-camera Cloud Mask dataset. It is used to determine whether a scene is classified as clear or cloudy. A new parameter has been added to indicate dust over ocean. This version of the ESDT is used by MISR PGE 13.
  • Purpose
    The Radiometric camera-by-camera Cloud Mask (RCCM) is used during geophysical parameter retrievals. In the Top of the Atmosphere (TOA)/Cloud Product, RCCM is combined with stereoscopically derived cloud mask to 1) establish values of the Reflecting Level Reference Altitude, 2) determine how a scene is classified for choosing angular integration coefficients for establishing TOA albedos, and 3) calculate regional scene classifiers. Retrieval of Aerosol/Surface Product properties requires the absence of clouds, for retrieval assumptions to be valid.
  • Version Description
    Updated ESDT version/contents for stand-alone usage with new PGE 13 (RCCM)

Data Identification Fields:

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    Data Dates
    Creation
    Last Revision
    Processing Level

    1B

    Level 1A data that have been processed to sensor units (not all instruments have Level 1B source data).

    Quality
    Collection Progress

    Active

    Access Constraints

    Data may not be reproduced or distributed without including the Citation For External Publication for this product included in this metadata. Data may not be distributed in an altered form without the written permission of the MISR science team.

    Metadata Associations

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    Science Keywords
    • EARTH SCIENCE
    • Not provided
    • Not provided

Acquisition Information Fields:

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Platforms
  • Earth Observation Satellites
    AM-1
    Instruments
    • MISR
Projects
Project Short Name Campaigns Project Dates
MISR No campaigns listed. 1999-12-18

Temporal Information Fields:

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Spatial Information Fields:

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    Coverage Type Zone Identifier Geometry Granule Representation
    HORIZONTAL CARTESIAN ORBIT
    Tiling Identification Systems
    System Name Coordinate 1 Min Coordinate 1 Max Coordinate 2 Min Coordinate 2 Max
    MISR 1.0 233.0 1.0 180.0
Location Keywords

Data Centers

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  • NASA/LARC/SD/ASDC
    PROCESSOR

    This data center does not have any addresses listed.

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  • NASA/LARC/SD/ASDC
    ARCHIVER

    This data center does not have any addresses listed.

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  • Not provided
    ORIGINATOR

    4800 Oak Grove Drive
    Pasadena, CA 91109

    9-5 Pacific weekdays
    Contact Details

    Contact by email first

  • NASA Langley ASDC User Services
    ARCHIVER

    NASA Langley Research Center, Mail Stop 157D
    Hampton, Virginia 23681-2199

    8:00 A.M. to 4:30 P.M., U.S. Eastern Time, Monday through Friday, excluding U.S. holidays.
    • 757-864-8656
    • 757-864-8807
    • Email

Data Contacts

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  • David
    Science Contact
    David Diner

    Not provided

    This contact does not have any addresses listed.

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Collection Citations Fields:

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    Collection Citations
    • Collection citation title not provided

      MISR Science Team (2015), Terra/MISR Level 1B, Radiometric Camera-by-camera Cloud Mask, version 4, Hampton, VA, USA: NASA Atmospheric Science Data Center (ASDC), Accessed at doi: 10.5067/Terra/MISR/MIRCCM_L2.004