China Dimensions Data Collection: China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map
Entry ID:
CIESIN_SEDAC_CD_CTY_POPAG_GIS
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Summary
Abstract:
China County-Level Data on Population (Census) and Agriculture, Keyed To 1:1M GIS Map consists of census, agricultural economic, and boundary data for the administrative regions of China for 1990. The census data includes urban and rural residency, age and sex distribution, educational attainment, illiteracy, marital status, childbirth, mortality, immigration (since 1985), industrial/economic ... activity, occupation, and ethnicity. The agricultural economic data encompasses rural population, labor force, forestry, livestock and fishery, commodities, equipment, utilities, irrigation, and output value. The boundary data are at a scale of one to one million (1:1M) at the county level. This dataset is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project, University of California-Davis China in Time and Space (CITAS) project, and the Center for International Earth Science Information Network (CIESIN).
The data in ARC/INFO Export (ARCE) and dBase IV (DBF) formats are available from the NASA Socioeconomic Data and Applications Center (SEDAC). 
Purpose:
To provide information on China's population and agricultural economy from the 1990 census, and geocoded 1990 China county boundary GIS data at 1:1M.
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Description:
Data download page.
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Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
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N: 54.0
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S: 18.0
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E: 135.0
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W: 73.0
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Data Set Citation
Dataset Originator/Creator:
China in Time and Space (CITAS)/University of California-Davis, China in Time and Space (CITAS)/University of Washington, Center for International Earth Science Information Network (CIESIN)
Dataset Title:
China Dimensions Data Collection: China County-Level Data on Population (Census) and Agriculture, Keyed to 1:1M GIS Map
Dataset Release Date:
1997-02
Dataset Release Place:
Saginaw, MI
Dataset Publisher:
NASA Socioeconomic Data and Applications Center (SEDAC)
Version:
1.00
Data Presentation Form:
vector
Online Resource:
http://sedac.ciesin.columbia.edu/data/set/cddc-china-population-cen...
Temporal Coverage
Start Date:
1985-01-01
Stop Date:
1990-01-01
Data Resolution
Latitude Resolution:
500 m
Longitude Resolution:
500 m
Temporal Resolution:
8 Days
Quality
Quality indicators for MODIS snow data are represented by 'AutomaticQualityFlag' and 'ScienceQualityFlag' metadata objects, and their corresponding explanations ('AutomaticQualityFlagExplanation' and 'ScienceQualityFlagExplanation') in the CoreMetadata.0 global attribute; and also in the 'Snow Cover PixelQA' data field. These are generated during production or in post-product scientific and quality checks of the data product.
Data Set Progress
COMPLETE
Distribution
Distribution Media:
upon request
Distribution Size:
11.3 MB
Distribution Format:
HDF-EOS
Fees:
unknown
Personnel
Role:
INVESTIGATOR
Contact Address:
National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC)
Mail stop 614.1
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Role:
INVESTIGATOR
Phone:
801-585-9492
Email:
vincent.salomonson at utah.edu
Contact Address:
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
Role:
INVESTIGATOR
Phone:
301-614-5650
Email:
George.A.Riggs at nasa.gov
Contact Address:
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
Role:
TECHNICAL CONTACT
Phone:
+1 (303) 492-6199
Fax:
+1 (303) 492-2468
Email:
nsidc at 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
Publications/References
Diner, D.J., J.V. Martonchik, C. Borel, S.A.W. Gerstl, H.R. Gordon, Y. Knyazikhin, R. Myneni, B. Pinty, and M.M. Verstraete. 1999. MISR Level-2 surface retrieval Algorithm Theoretical Basis Document. Pasadena, CA: Jet Propulsion Laboratory. 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., 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.
Hall, D.K. and J. Martinec. 1985. Remote sensing of ice and snow. London: Chapman and Hall.
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., J.L. Foster, V.V. Salomonson, A.G. Klein, and J.Y.L. Chien. 2001. Development of a technique to assess snow-cover mapping accuracy from space. IEEE Transactions on Geoscience and Remote Sensing 39(2): 232-238.
Hapke, B. 1993. Theory of reflectance and emittance spectroscopy. Cambridge: Cambridge University Press. Klein, A. MODIS Snow Albedo Prototype. 2003.
Klein, A.G., and J. Stroeve. 2002. Development and validation of a snow albedo algorithm for the MODIS instrument. Annals of Glaciology 34: 45-52.
Klein, A.G., D.K. Hall, and G.A. Riggs. 1998. Improving snow-cover mapping in forests through the use of a canopy reflectance model. Hydrologic Processes 12(10-11): 1723-1744.
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. MODIS Science and Instrument Team. MODIS Web. July 2003. http://modis.gsfc.nasa.gov/.
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. January 2003. MODIS snow products user guide for collection 4 data products. United States Geological Survey. 'Sinusoidal Equal Area.' Map Projections. 2003. http://egsc.usgs.gov/isb/pubs/MapProjections/projections.html#sinus....
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.
Creation and Review Dates
DIF Creation Date:
2004-01-20
Last DIF Revision Date:
2012-05-04
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