[Location: Location_Category='OCEAN', Location_Type='INDIAN OCEAN', Location_Subregion1='SINGAPORE']
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Poverty Mapping Project: Global Subnational Prevalence of Child Malnutrition
Entry ID:
CIESIN_SEDAC_PMP_GSPCM
Summary
Abstract:
The Global Subnational Prevalence of Child Malnutrition dataset consists of estimates of the percentage of children with weight-for-age z-scores that are more than two standard deviations below the median of the NCHS/CDC/WHO International Reference Population. Data are reported for the most recent year with subnational information available at the time of development. The data products include a ... shapefile (vector data) of percentage rates, grids (raster data) of rates (per thousand in order to preserve precision in integer format), the number of children under five (the rate denominator), and the number of underweight children under five (the rate numerator), and a tabular dataset of the same and associated data. This dataset is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).
The data in ESRI Shapefile (SHP), Microsoft Excel (XLS), American Standard Code for Information Interchange (ASCII) Grid formats and maps in Portable Document (PDF) Portable Network Graphics (PNG) formats are available from the NASA Socioeconomic Data and Applications Center (SEDAC). ![]() Purpose: To provide a global subnational map of the prevalence of underweight children that can be used by a wide user community in interdisciplinary studies of health, poverty and the environment.
Related URL
Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
Data Set Citation
Dataset Originator/Creator:
Center for International Earth Science Information Network (CIESIN)/Columbia University
Dataset Title:
Poverty Mapping Project: Global Subnational Prevalence of Child Malnutrition
Dataset Release Date:
2005
Dataset Release Place:
Palisades, NY
Dataset Publisher:
NASA Socioeconomic Data and Applications Center (SEDAC)
Version:
1.00
Data Presentation Form:
raster, vector, tabular, map
Online Resource:
http://sedac.ciesin.columbia.edu/data/set/povmap-global-subnational...
Temporal Coverage
Start Date:
1990-01-01
Stop Date:
2002-01-01
Data Resolution
Latitude Resolution:
1 deg.
Longitude Resolution: 1 deg. Horizontal Resolution Range: 100 km - < 250 km or approximately 1 degree - < 2.5 degrees Temporal Resolution: eight-day Temporal Resolution Range: Weekly - < Monthly Science Keywords
ATMOSPHERE
>
AEROSOLS
>
AEROSOL BACKSCATTER
ATMOSPHERE > AEROSOLS > AEROSOL EXTINCTION
ATMOSPHERE
>
AEROSOLS
>
AEROSOL OPTICAL DEPTH/THICKNESS
ATMOSPHERE > AEROSOLS > AEROSOL PARTICLE PROPERTIES ATMOSPHERE > AEROSOLS > AEROSOL RADIANCE ATMOSPHERE > AEROSOLS > CARBONACEOUS AEROSOLS ATMOSPHERE > AEROSOLS > CLOUD CONDENSATION NUCLEI ATMOSPHERE > AEROSOLS > DUST/ASH/SMOKE ATMOSPHERE > AEROSOLS > NITRATE PARTICLES ATMOSPHERE > AEROSOLS > ORGANIC PARTICLES ATMOSPHERE > AEROSOLS > PARTICULATE MATTER ATMOSPHERE > AEROSOLS > SULFATE PARTICLES ATMOSPHERE > ATMOSPHERIC CHEMISTRY > TRACE GASES/TRACE SPECIES ATMOSPHERE > ATMOSPHERIC PHENOMENA > STORMS ATMOSPHERE > ATMOSPHERIC PHENOMENA ATMOSPHERE > ATMOSPHERIC TEMPERATURE > ATMOSPHERIC STABILITY ATMOSPHERE > ATMOSPHERIC WATER VAPOR > HUMIDITY ATMOSPHERE > ATMOSPHERIC WATER VAPOR > PRECIPITABLE WATER ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR PROFILES ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD FREQUENCY ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD CEILING ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD CONDENSATION NUCLEI ATMOSPHERE > CLOUDS > CLOUD RADIATIVE TRANSFER > CLOUD EMISSIVITY ATMOSPHERE > CLOUDS > CLOUD RADIATIVE TRANSFER > CLOUD RADIATIVE FORCING ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD HEIGHT ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD LIQUID WATER/ICE ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD OPTICAL DEPTH/THICKNESS ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD PRECIPITABLE WATER ATMOSPHERE > CLOUDS > CLOUD RADIATIVE TRANSFER > CLOUD REFLECTANCE ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD TOP PRESSURE ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD TOP TEMPERATURE ATMOSPHERE > CLOUDS > CLOUD PROPERTIES > CLOUD VERTICAL DISTRIBUTION ATMOSPHERE > CLOUDS > CLOUD MICROPHYSICS > CLOUD DROPLET CONCENTRATION/SIZE ATMOSPHERE > CLOUDS ATMOSPHERE > ATMOSPHERIC RADIATION > ATMOSPHERIC EMITTED RADIATION ATMOSPHERE > ATMOSPHERIC RADIATION > EMISSIVITY ATMOSPHERE > ATMOSPHERIC RADIATION > OPTICAL DEPTH/THICKNESS ATMOSPHERE > ATMOSPHERIC RADIATION > RADIATIVE FLUX ATMOSPHERE > ATMOSPHERIC RADIATION > REFLECTANCE ATMOSPHERE > ATMOSPHERIC RADIATION > TRANSMITTANCE ATMOSPHERE > AEROSOLS > AEROSOL OPTICAL DEPTH/THICKNESS > ANGSTROM EXPONENT ATMOSPHERE > ATMOSPHERIC CHEMISTRY > OXYGEN COMPOUNDS > OZONE
ISO Topic Category
Platform
Project
Quality
The following site provides quality information on the MYD08_E3 product:
http://modis-atmos.gsfc.nasa.gov/MOD08_E3/qa.html
Access Constraints
Available to public to gain familiarity with the data format and
parameters.
Use Constraints
The following web site provides information on MYD08_E3 constraints:
http://modis-atmos.gsfc.nasa.gov/MOD08_E3/qa.html Data Center
Distribution
Distribution Media:
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:
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
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
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
(Click to view more)
Creation and Review Dates
DIF Creation Date:
2003-04-22
Last DIF Revision Date:
2010-09-22
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