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HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity
Entry ID:
CIESIN_SEDAC_HANPP_PERCENT
Summary
Abstract:
The Human Appropriation of Net Primary Productivity (HANPP) as a Percentage of Net Primary Product (NPP) portion of the HANPP Collection represents a map identifying regions in which human consumption of NPP is greatly in excess of production by local ecosystems. Humans appropriate net primary productivity through the consumption of food, paper, wood and fiber, which alters the composition of the ... atmosphere, levels of biodiversity, energy flows within food webs and the provision of important ecosystem services. Net primary productivity (NPP), the net amount of solar energy converted to plant organic matter through photosynthesis, can be measured in units of elemental carbon and represents the primary food energy source for the world's ecosystems. This dataset is distributed by the Columbia University Center for International Earth Science Information Network (CIESIN).
The data in Arc/Info GRID and GeoTIFF formats and maps in Portable Document Format (PDF) and Portable Network Graphics (PNG) format are available from the NASA Socioeconomic Data and Applications Center (SEDAC).  Purpose: To identify spatial variations in the amount of NPP consumption relative to local production in a way that highlight humanity's growing impact on the biosphere.
Related URL
Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
Data Set Citation
Dataset Originator/Creator:
Imhoff, M.L., L. Bounoua, T. Ricketts, C. Loucks, R. Harriss, and W.T. Lawrence
Dataset Title:
HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity
Dataset Release Date:
2004
Dataset Release Place:
Palisades, NY
Dataset Publisher:
NASA Socioeconomic Data and Applications Center (SEDAC)
Version:
1.00
Data Presentation Form:
raster, map
Online Resource:
http://sedac.ciesin.columbia.edu/data/set/hanpp-percentage-net-prim...
Temporal Coverage
Start Date:
1995-01-01
Stop Date:
1995-01-01
Location Keywords
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: monthly Temporal Resolution Range: Monthly - < Annual 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 TEMPERATURE > ATMOSPHERIC STABILITY
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > HUMIDITY
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > PRECIPITABLE WATER
ATMOSPHERE > ATMOSPHERIC WATER VAPOR > WATER VAPOR
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 web site provides quality information on the MYD08_M3 product:
http://modis-atmos.gsfc.nasa.gov/MOD08_M3/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_M3 constraints:
http://modis-atmos.gsfc.nasa.gov/MOD08_M3/qa.html Ancillary Keywords
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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HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity
Entry ID:
CIESIN_SEDAC_HANPP_PERCENT
Summary
Abstract:
The Human Appropriation of Net Primary Productivity (HANPP) as a Percentage of Net Primary Product (NPP) portion of the HANPP Collection represents a map identifying regions in which human consumption of NPP is greatly in excess of production by local ecosystems. Humans appropriate net primary productivity through the consumption of food, paper, wood and fiber, which alters the composition of the ...
Purpose: To identify spatial variations in the amount of NPP consumption relative to local production in a way that highlight humanity's growing impact on the biosphere.
Related URL
Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
Data Set Citation
Dataset Originator/Creator:
Imhoff, M.L., L. Bounoua, T. Ricketts, C. Loucks, R. Harriss, and W.T. Lawrence
Dataset Title:
HANPP Collection: Human Appropriation of Net Primary Productivity as a Percentage of Net Primary Productivity
Dataset Release Date:
2004
Dataset Release Place:
Palisades, NY
Dataset Publisher:
NASA Socioeconomic Data and Applications Center (SEDAC)
Version:
1.00
Data Presentation Form:
raster, map
Online Resource:
http://sedac.ciesin.columbia.edu/data/set/hanpp-percentage-net-prim...
Temporal Coverage
Start Date:
1995-01-01
Stop Date:
1995-01-01
Location Keywords
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: monthly Temporal Resolution Range: Monthly - < Annual Science Keywords
ISO Topic Category
Platform
Project
Quality
The following web site provides quality information on the MYD08_M3 product:
http://modis-atmos.gsfc.nasa.gov/MOD08_M3/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_M3 constraints:
http://modis-atmos.gsfc.nasa.gov/MOD08_M3/qa.html Ancillary Keywords
Data Center
Distribution
Distribution Media:
FTP
Distribution Size:
15 GB
Distribution Format:
HDF
Fees:
None
Personnel
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 ... 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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- Webmaster: Monica Holland
- Responsible NASA Official: Lola Olsen
- Last updated: May 2013
