CEOS Cal Val Test Site - Algeria 3 - Pseudo-Invariant Calibration Site (PICS)
Entry ID:
CEOS_CalVal_Test_Sites-Algeria3
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Summary
Abstract:
On the background of these requirements for sensor calibration, intercalibration and product validation, the subgroup on Calibration and Validation of the Committee on Earth Observing System (CEOS) formulated the following recommendation during the plenary session held in China at the end of 2004, with the goal of setting-up and operating an internet based system to provide sensor data, protocols ... and guidelines for these purposes:
Background:
Reference Datasets are required to support the understanding of climate change and quality assure operational services by Earth Observing satellites. The data from different sensors and the resulting synergistic data products require a high level of accuracy that can only be obtained through continuous traceable calibration and validation activities.
Requirement:
Initiate an activity to document a reference methodology to predict Top of Atmosphere (TOA) radiance for which currently flying and planned wide swath sensors can be intercompared, i.e. define a standard for traceability. Also create and maintain a fully accessible web page containing, on an instrument basis, links to all instrument characteristics needed for intercomparisons as specified above, ideally in a common format. In addition, create and maintain a database (e.g. SADE) of instrument data for specific vicarious calibration sites, including site characteristics, in a common format. Each agency is responsible for providing data for their instruments in this common format. Recommendation : The required activities described above should be supported for an implementation period of two years and a maintenance period over two subsequent years. The CEOS should encourage a member agency to accept the lead role in supporting this activity. CEOS should request all member agencies to support this activity by providing appropriate information and data in a timely manner.
Pseudo-Invariant Calibration Sites (PICS):
Algeria 3 is one of six CEOS reference Pseudo-Invariant Calibration Sites (PICS) that are CEOS Reference Test Sites. Besides the nominally good site characteristics (temporal stability, uniformity, homogeneity, etc.), these six PICS were selected by also taking into account their heritage and the large number of datasets from multiple instruments that already existed in the EO archives and the long history of characterization performed over these sites. The PICS have high reflectance and are usually made up of sand dunes with climatologically low aerosol loading and practically no vegetation. Consequently, these PICS can be used to evaluate the long-term stability of instrument and facilitate inter-comparison of multiple instruments. 
Purpose:
To facilitate and coordinate calibration and validation data over the Algeria 3 test site.
Related URL
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Description:
Committee on Earth Observation Satellites (CEOS) Working Group on Calibration and Validation (WGCV) Test Sites.
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Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
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N: 31.36
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S: 29.09
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E: 10.01
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W: 5.22
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Quality
The 'version 004' or 'collection 004' product is better than 'version
001' and earlier versions. The quality of this version 004 product is
... established as 'Validated' . This means its accuracy has
been estimated using a small number of independent measurements
obtained from selected locations and time periods and ground-truth/field
program efforts. Product images look reasonable when compared to other
spaceborne instruments or comparable data in limited situations. Scientific
use should be performed with caution with careful reference to QA
statements provided with each product.
Access Constraints
Available to public to gain familiarity with the data format and
parameters.
Use Constraints
This Data set (version 004/collection 004) is of 'Validated'
Quality. This data is appropriate for use in scientific publications.
Before using it in any publication please the contact science team
representative for the known problems and updates.
Distribution
Distribution Media:
Online (FTP)
Distribution Size:
15 GB
Distribution Format:
HDF
Fees:
None
Personnel
Role:
DIF AUTHOR
Phone:
301-352-2109
Email:
gang.ye at sigmaspace.com
Role:
TECHNICAL CONTACT
Phone:
301-731-2917, 1-866-506-6347 (toll-free - US only)
Fax:
301-577-6622
Email:
modapsuso at sigmaspace.com
Contact Address:
LAADS User Support Team
4801 Forbes Boulevard
City:
Lanham
Province or State:
MD
Postal Code:
20706
Country:
USA
Role:
INVESTIGATOR
Phone:
202-767-8252
Fax:
202-404-8894
Email:
gao at rsd.nrl.navy.mil
Contact Address:
Naval Research Laboratory
Remote Sensing Division, Code 7212
4555 Overlook Ave., SW
City:
Washington
Province or State:
DC
Postal Code:
20375-5320
Country:
USA
Role:
INVESTIGATOR
Role:
INVESTIGATOR
Phone:
301-614-5636
Fax:
301-614-5620
Email:
michael.d.king at nasa.gov
Contact Address:
NASA
Goddard Space Flight Center
Mailstop 610.0
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Role:
INVESTIGATOR
Phone:
608-264-5325
Fax:
608-262-5974
Email:
paulm at ssec.wisc.edu
Contact Address:
NOAA/NESDIS
Space Science and Engineering Center
University of Wisconsin-Madison
1225 W. Dayton St.
City:
Madison
Province or State:
WI
Postal Code:
53706
Country:
USA
Role:
INVESTIGATOR
Phone:
33 (0) 320337033
Fax:
33 (0)3 20 43 43 42
Email:
tanre at loa.univ-lille1.fr
Contact Address:
Laboratorie d'Optique Atmospherique
Bat. P5, U.S.T. deLille
Villeneuve d'Ascq Cedex
Postal Code:
59655
Country:
FRANCE
Publications/References
Ackerman, S. K. Strabala, P. Menzel, R. Frey, C. Moeller, and L. Gumley, 1998: Discriminating clear sky from clouds with MODIS. J. Geophys. Res., 103, 32141-32157 Ackerman, S. A., W. L. Smith and H. E. Revercomb, 1990: The 27-28 October 1986 FIRE IFO cirrus case study: spectral properties ... of cirrus
clouds in the 8-12 micron window. Mon. Wea. Rev., 118, 2377-2388.
Chu, D. A., K. Strabala, S. Platnick, E. Moody, M. King, S. Mattoo,
R. Hucek, and B. Ridgway, 2000: MODIS Atmosphere QA Plan. Version 2.2
, NASA Goddard Space Flight Center, 46 pp.
Chu, D. A., Y. J. Kaufman, L. A. Remer, and B. N. Holben,1998: Remote
sensing of smoke from MODIS Airborne Simulator during SCAR-B
experiment. Journal of Geophysical Research, 103, 31979-31988.
Gao, B. C., and Y. J. Kaufman.1998: The MODIS Near-infrared Water
Vapor Algorithm, Algorithm Theoretical Basis Document,ATBD-MOD-03,
NASA Goddard Space Flight Center,25 pp.
Gao, B. C. , and Y. J. Kaufman,1997: MODIS Total Precipitable Water,
MTPE EOS Data Products Handbook,93-94.
Gao, B. -C, A. F. H. Goetz, and W. J. Wiscombe, 1993: Cirrus detection
from Airborne Imaging Radiometer using 1.38 micron water vapor
band. Geophys. Res. Letter, 4,301-304.
Gao, B. C., and Alexander F. H. Goetz,1990: Column Atmospheric Water
Vapor and Vegetation Liquid Water Retrievals From Airborne Imaging
Spectrometer Data, J. Geophys. Res., 95, 3549-3564.
Kaufman, Y. J., and D. Tanre,1998: Algorithm For Remote Sensing of
Tropospheric Aerosol from MODIS, Algorithm Theoretical Basis Document,
ATBD-MOD-02, NASA Goddard Space Flight Center,85 pp.
Kaufman, Y. J., and D. Tanre,1997: MODIS Aerosol Product, in MTPE EOS
Data Products Handbook,107-108.
Kaufman, Y. J., D. Tanre, L. Remer, E. F.Vermote, A. Chu, &
B. N. Holben, 1997: Operational remote sensing of tropospheric aerosol
over the land from EOS-MODIS. Journal of Geophysical Research,
102(14), 17051-17068.
Kaufman, Y. J., and B.-C. Gao, Remote sensing of water vapor in the
near IR from EOS/MODIS, IEEE Trans. Geosci. Remote Sensing,, 30,
871-884, 1992.
King, M., Y. Kaufman, P. Menzel, D.Tanre, B. Gao, 1999: MODIS
Atmosphere Validation Plan, NASA Goddard Space Flight Center, 48 pp.
King, M. D., S. C. Tsay, S. E. Platnick, M. Wang, and K. Liou, 1997:
Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective
Particle Radius, and Thermodynamic Phase , Algorithm Theoretical Basis
Document, ATBD-MOD-05, NASA Goddard Space Flight Center,
King, M. D., W. P. Menzel, P. S. Grant, J. S. Myers, G. T. Arnold,
S. E. Platnick, L. E.Gumley, S. C. Tsay, C. C. Moeller, M. Fitzgerald,
K. S. Brown and F. G.Osterwisch, 1996: Airborne scanning spectrometer
for remote sensing of cloud, aerosol, water vapor and surface
properties. J. Atmos. Oceanic Technol.,13, 777–794.
King, M. D., Y. J. Kaufman, W. P. Menzel and D. Tanre, 1992: Remote
sensing of cloud, aerosol and water vapor properties from the Moderate
Resolution Imaging Spectrometer (MODIS). IEEE Trans. Geosci. Remote
Sens., 30, 2–27.
King, M. D., 1987: Determination of the scaled optical thickness of
clouds from re-flected solar radiation measurements. J. Atmos. Sci.,
44, 1734–1751.
King, M. D., M. G. Strange, P. Leone and L. R. Blaine, 1986:
Multiwavelength scanningradiometer for airborne measurements of
scattered radiation within clouds. J. Atmos. Oceanic Technol., 3,
513–522.
King, M. D., 1981: A method for determining the single scattering
albedo of clouds through observation of the internal scattered
radiation field. J. Atmos.Sci., 38, 2031–204.
Menzel, W. P., and L. E. Gumley, 1998: MODIS Atmospheric Profiles
Retrieval Algorithm Theoretical Basis Document. ATBD-MOD-07, NASA
Goddard Space Flight Center, pp.
Menzel, W. P.,and L. E. Gumley, 1997:MODIS Atmospheric Profiles ,in
MTPE EOS Data Products Handbook, pp 164-166.
Menzel, P., and M. King, 1997:MODIS Cloud Product, in MTPE EOS Data
Products Handbook,109-111.
Menzel, P., and K. Strabela. 1997: Cloud Top Properties and Cloud
Phase, Algorithm Theoretical Basis Document. ATBD-MOD-04, NASA Goddard
Space Flight Center,56 pp.
Nakajima, T., M. D. King , J. D. Spinhirne and L. F. Radke, 1991:
Determination of the optical thickness and effective particle radius
of clouds from reflected solar radiation measurements. Part II: Marine
stratocumulus observations. J. Atmos. Sci., 48, 728–750.
Nakajima, T., and M. D. King, 1990: Determination of the optical
thickness and effective particle radius of clouds from reflected solar
radiation measurements. Part I: Theory. J. Atmos. Sci., 47,
1878–1893.
Remer, L. A., Y. J. Kaufman, and B. N. Holben, 1996: The size
distribution of ambient aerosol particles: Smoke vs. urban/industrial
aerosol. Global biomass burning. Cambridge MA: MIT Press.
Rossow, W. B., and L.C. Gardner, 1993: Cloud detection using satellite
measurements of infrared and visible radiances for ISCCP, J. Climate,
6, 2341-2369.
Strabala, K. I., S. A. Ackerman and W. P. Menzel, 1994: Cloud
properties inferred from 8-12 micron data. J. Appl. Meteor, 33, No. 2,
212-229.
Tanre, D., Y. J. Kaufman, M. Herman, and S. Mattoo, 1997: Remote
sensing of aerosol properties over oceans using the MODIS/EOS spectral
radiances. Journal of Geophysical Research, 102, 16971-16988.
Tanre, D., M. Herman, and Y. J. Kaufman, 1996: Information on aerosol
size distribution contained in solar reflected radiances. Journal of
Geophysical Research-Atmospheres, 101, 19043-19060.
Extended Metadata Properties
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Creation and Review Dates
DIF Creation Date:
2003-04-03
Last DIF Revision Date:
2010-09-22
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