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MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Night

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Entry ID

MYD29P1N

Summary

MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Night (MYD29P1N) data set contains fields for Ice Surface Temperature (IST) and IST Spatial Quality Assessment (QA) in Hierarchical Data Format-Earth Observing System (HDF-EOS) format, along with corresponding metadata. The field Sea Ice by Ice Surface Temperature that is in Version 4 (V004) was removed from Version 5 MOD29P1N V005, the latest version of the Moderate Resolution Imaging Spectroradiometer (MODIS) data, consists of 954 x 954 km files of 1 km resolution data gridded in the Lambert Azimuth Equal Area map projection.

Geographic Coverage

 

Spatial Coordinates:
N: 90°     S: -90°     E: 180°     W: -180°    

Data Set Citation

Dataset Creator: Hall, D. K., V. V. Salomonson, and G. A. Riggs.
Dataset Title: MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Night
Dataset Release Date: 2006-12-18
Dataset Release Place: Boulder, Colorado USA
Dataset Publisher: NSIDC: National Snow and Ice Data Center
Version: 5
Online Resource: http://nsidc.org/data/myd29p1n.html

Temporal Coverage

Start Date: 2002-07-04

Data Resolution

Latitude Resolution: 1 km
Longitude Resolution: 1 km
Temporal Resolution: 1 day

Location Keywords

  • CONTINENT ANTARCTICA
  • GEOGRAPHIC REGION ARCTIC
  • GEOGRAPHIC REGION GLOBAL
  • GEOGRAPHIC REGION POLAR

Science Keywords

  • Cryosphere Sea Ice Ice Temperature
  • Oceans Sea Ice Ice Temperature

Ancillary Keywords

  • Antarctic
  • Arctic
  • Climatology
  • DAAC
  • EASE-Grid
  • ECS
  • EOSDIS
  • EOS PM-1
  • Global Change
  • Gridded
  • Ice Surface Temperature
  • IST
  • NASA
  • NSIDC
  • Polar
  • Remote Sensing
  • Sea Ice

ISO Topic Category (View Definitions)

  • Imagery/Base Maps/Earth Cover

Platform

  • TERRA Earth Observing System, TERRA (AM-1)

Instrument

  • MODIS Moderate-Resolution Imaging Spectroradiometer
  • SPECTRORADIOMETERS

Project

  • EOS Earth Observing System
  • EOSDIS Earth Observing System Data Information System
  • ESIP Earth Science Information Partners Program

Quality

All MODIS/Aqua sea ice products are considered validated or at stage two meaning that accuracy has been assessed over a widely distributed set of locations and time periods via several ground-truth and validation campaigns.

Quality indicators for MODIS sea ice data can be found in the following three places: AutomaticQualityFlag and the ScienceQualityFlag metadata objects and their corresponding explanations: AutomaticQualityFlagExplanation and ScienceQualityFlagExplanation located in the CoreMetadata.0 global attributes; custom local attributes associated with each Scientific Data Set (SDS), for example Ice Surface Temperature; and the Pixel QA SDS that accompanies each data field, for example, Ice Surface Temperature Spatial QA. These quality indicators are generated during production or in post-production scientific and quality checks of the data product.

The AutomaticQualityFlag is automatically set according to conditions for meeting data criteria in the sea ice algorithm. In most cases, the flag is set to either Passed or Suspect, and in rare instances, it may be set to Failed. Suspect means that a significant percentage of the data were anomalous and that further analysis should be done to determine the source of anomalies. The AutomaticQualityFlagExplanation contains a brief message explaining the reason for the setting of the AutomaticQualityFlag. The ScienceQualityFlag and the ScienceQualityFlagExplanation maybe updated after production, either after an automated QA program is run or after the data product is inspected by a qualified scientist. Content and explanation of this flag are dynamic so it should always be examined if present in the external metadata file. A sampling of products will be inspected. Random sampling or support of specific events, such as field campaigns, may also be conducted.

The IST Spatial QA data field provides additional information on algorithm results for each pixel within a spatial context, and are used as a measure of usefulness for sea ice data. QA data are stored as coded integer values and tells if algorithm results were good or not, or if other defined conditions were encountered (Riggs, Hall, and Salomonson 2003).

Data Set Progress

in work

Originating Center

NSIDC_DAAC

Data Center

NASA DAAC at the National Snow and Ice Data Center
Data Center URL: http://nsidc.org/daac/index.html

Data Center Personnel

Name: NSIDC User Services
Phone: 1 303 492-6199
Fax: 1 303 492-2468
Email: nsidc@nsidc.org
Contact Address:

  • National Snow and Ice Data Center
  • CIRES, 449 UCB
  • University of Colorado

City: Boulder
Province or State: CO
Postal Code: 80309-0449
Country: USA

National Snow and Ice Data Center
Data Center URL: http://nsidc.org

Data Center Personnel

Name: NSIDC User Services
Phone: 1 303 492-6199
Fax: 1 303 492-2468
Email: nsidc@nsidc.org
Contact Address:

  • National Snow and Ice Data Center
  • CIRES, 449 UCB
  • University of Colorado

City: Boulder
Province or State: CO
Postal Code: 80309-0449
Country: USA

Distribution

Distribution Media: FTP
Distribution Size: 0.5 - 6.0 MB
Distribution Format: HDF-EOS

Distribution Media: FTP
Distribution Size: 0.5 - 6.0 MB
Distribution Format: Geographic Tagged Image File Format (GeoTIFF) (.geotiff)

Personnel

Dorothy K. Hall
Role: INVESTIGATOR
Contact Address:

  • NASA Goddard Space Flight Center (GSFC)
  • National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC)
  • Mail stop 614.1

City: Greenbelt
Province or State: MD
Postal Code: 20771

Vince V. Salomonson
Role: INVESTIGATOR
Phone: 1 801 585-9492
Email: vincent.salomonson@utah.edu
Contact Address:

  • University of Utah
  • Department of Meteorology
  • University of Utah
  • Department of Meteorology
  • 135 S 1460 E, Rm 809

City: Salt Lake City
Province or State: UT
Postal Code: 84112
Country: US

George A. Riggs
Role: INVESTIGATOR
Phone: 1 301 614-5650
Email: George.A.Riggs@nasa.gov
Contact Address:

  • NASA Goddard Space Flight Center (GSFC)
  • Science Systems and Applications, Inc.
  • NASA Goddard Space Flight Center (GSFC)
  • Science Systems and Applications, Inc.
  • Code 614.1

City: Greenbelt
Province or State: MD
Postal Code: 20771
Country: USA

NSIDC User Services
Role: TECHNICAL CONTACT
Phone: 1 303 492-6199 x
Fax: 1 303 492-2468 x
Email: nsidc@nsidc.org
Contact Address:

  • National Snow and Ice Data Center
  • CIRES, 449 UCB
  • University of Colorado

City: Boulder
Province or State: CO
Postal Code: 80309-0449
Country: USA

Related URL

VIEW PROJECT HOME PAGE
MODIS DAAC Web page at NSIDC

VIEW PROJECT HOME PAGE
MODIS Data at NSIDC Home Web page

VIEW PROJECT HOME PAGE
MODIS Web Site at NSIDC

VIEW PROJECT HOME PAGE
Sea Ice Products at NSIDC

Reference

Earth Science Data and Information System (ESDIS). 1996. EOS Ground System (EGS) systems and operations concept. Greenbelt, MD: Goddard Space Flight Center. Hall, D.K., J.L. Foster, D.L. Verbyla, A.G. Klein, and C.S. Benson. 1998. Assessment of snow cover mapping accuracy in a variety of vegetation cover densities in central Alaska. Remote Sensing of the Environment 66: 129-137. Hall, D.K., Jeffrey R. Key, Kimberly A. Casey, George A. Riggs, and Donald Cavalieri. May 2004. Sea ice surface temperature product from MODIS. IEEE Transactions on Geoscience and Remote Sensing 42:5.


Hall, D.K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.

Hall, D.K., G.A. Riggs, and V.V. Salomonson. 1995. Development of methods for mapping global snow cover using Moderate Resolution Imaging Spectroradiometer (MODIS). Remote Sensing of the Environment 54(2): 127-140.


Hall, D.K., G.A. Riggs, and V.V. Salomonson. September 2001. Algorithm Theoretical Basis Document (ATBD) for the MODIS Snow-, Lake Ice- and Sea Ice-Mapping Algorithms. Greenbelt, MD: Goddard Space Flight Center.


Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press.


Key, J.R., J.B. Collins, C. Fowler, and R.S. Stone. 1997. High latitude surface temperature estimates From thermal satellite data. Remote Sensing of the Environment 61:302-309.


Key, J.R., J.A. Maslanik, T. Papakyriakou, M.C., and A.J. Schweiger. 1994. On the validation of satellite-derived sea ice surface temperature. Arctic 47: 280-287.


Markham, B.L. and J.L. Barker. 1986. Landsat MSS and TM post-calibration dynamic ranges, exoatmospheric reflectances and at-satellite temperatures. EOSAT Technical Notes 1:3-8.


MODIS Characterization and Support Team (MCST). 2000. MODIS Level-1B product user's guide for Level-1B Version 2.3.x Release 2. MCST Document #MCM-PUG-01-U-DNCN.


Pearson II, F. 1990. Map projections: theory and applications. Boca Raton, FL: CRC Press, Inc.
Riggs, G.A., D.K. Hall, and V.V. Salomonson. February 2003. MODIS sea ice products user guide.


Riggs, G.A., D.K. Hall, and S.A. Ackerman. 1999. Sea ice extent and classification mapping with the Moderate Resolution Imaging Spectroradiometer Airborne Simulator. Remote Sensing of the Environment 68: 152-163.


Scambos, Ted A., Terry M. Haran, and Robert Massom. In press. Validation of AVHRR and MODIS Ice Surface Temperature Products Using In Situ Radiometers. Annals of Glaciology 44.


Wiscombe, W.J. and S.G. Warren. 1980. A model for the spectral albedo of snow I: pure snow. Journal of the Atmospheric Sciences 37: 2712-2733.

Metadata Name and Version

Metadata Name: CEOS IDN DIF
Metadata Version: 9.7

Creation and Review Dates

DIF Creation Date: 2006-12-18
Last DIF Revision Date: 2013-11-14

Metadata Views

DIF Text-Only

Directory Interchange Format (DIF) in plain text

DIF XML

Directory Interchange Format (DIF) in Extensible Markup Language (XML)

FGDC HTML

U.S. Federal Geographic Data Committee (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM)

ISO HTML

International Organization for Standardization (ISO) 19115:2003 Geographic Information Metadata

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