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  • 1
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    Global climate change and US agriculture (1990)
    In:  Other Sources
    Details
    Publication Date: 2011-08-19
    Description: Agricultural productivity is expected to be sensitive to global climate change. Models from atmospheric science, plant science, and agricultural economics are linked to explore this sensitivity. Although the results depend on the severity of climate change and the compensating effects of carbon dioxide on crop yields, the simulation suggests that irrigated acreage will expand and regional patterns of U.S. agriculture will shift. The impact of the U.S. economy strongly depends on which climate model is used.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Nature (ISSN 0028-0836); 345; 219-224
    Format: text
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  • 2
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    Determination of vegetated fraction of surface from satellite measurements (1987)
    In:  Other Sources
    Details
    Publication Date: 2011-08-19
    Description: One input to the ground hydrology component of general circulation models is the fraction of gridbox covered (i.e., shaded) by vegetation. The FV is needed in order to specify the partitioning of evaporation between vegetated and nonvegetated surfaces. Satellite data could provide global and seasonally varying specification of FV. In this work, FV is derived from Landsat data for a site in western Kenya; the accuracy of the estimate is evaluated and then compared to the accuracy requirements of a ground hydrology model. Results show that the accuracy of Landsat estimation of FV is + or - 5 percent and that transpiration, evaporation from bare soil and the seasonality of evapotranspiration are strongly dependent on FV.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Advances in Space Research (ISSN 0273-1177); 7; 11, 1
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  • 3
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    A global data set of soil particle size properties (1991)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: A standardized global data set of soil horizon thicknesses and textures (particle size distributions) was compiled. This data set will be used by the improved ground hydrology parameterization designed for the Goddard Institute for Space Studies General Circulation Model (GISS GCM) Model 3. The data set specifies the top and bottom depths and the percent abundance of sand, silt, and clay of individual soil horizons in each of the 106 soil types cataloged for nine continental divisions. When combined with the World Soil Data File, the result is a global data set of variations in physical properties throughout the soil profile. These properties are important in the determination of water storage in individual soil horizons and exchange of water with the lower atmosphere. The incorporation of this data set into the GISS GCM should improve model performance by including more realistic variability in land-surface properties.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-TM-4286 , REPT-91B00202 , NAS 1.15:4286
    Format: application/pdf
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  • 4
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    The use of snowcovered area in runoff forecasts (1977)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: Long-term snowcovered area data from aircraft and satellite observations have proven useful in reducing seasonal runoff forecast error on the Kern river watershed. Similar use of snowcovered area on the Kings river watershed produced results that were about equivalent to methods based solely on conventional data. Snowcovered area will be most effective in reducing forecast procedural error on watersheds with: (1) a substantial amount of area within a limited elevation range; (2) an erratic precipitation and/or snowpack accumulation pattern not strongly related to elevation; and (3) poor coverage by precipitation stations or snow courses restricting adequate indexing of water supply conditions. When satellite data acquisition and delivery problems are resolved, the derived snowcover information should provide a means for enhancing operational streamflow forecasts for areas that depend primarily on snowmelt for their water supply.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-TM-78083 , X-913-77-48
    Format: application/pdf
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  • 5
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    Global digital data sets of soil type, soil texture, surface slope and other properties: Documentation of archived data tape (1987)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: The file structure and coding of four soils data sets derived from the Zobler (1986) world soil file is described. The data were digitized on a one-degree square grid. They are suitable for large-area studies such as climate research with general circulation models, as well as in forestry, agriculture, soils, and hydrology. The first file is a data set of codes for soil unit, land-ice, or water, for all the one-degree square cells on Earth. The second file is a data set of codes for texture, land-ice, or water, for the same soil units. The third file is a data set of codes for slope, land-ice, or water for the same units. The fourth file is the SOILWRLD data set, containing information on soil properties of land cells of both Matthews' and Food and Agriculture Organization (FAO) sources. The fourth file reconciles land-classification differences between the two and has missing data filled in.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-TM-100685 , NAS 1.15:100685
    Format: application/pdf
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  • 6
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    Modeling crop responses to environmental change (1993)
    In:  Other Sources
    Details
    Publication Date: 2019-08-28
    Description: Potential biophysical responses of crops to climate change are studied focusing on the primary environmental variables which define the limits to agricultural crop growth and production, and the principal methods for predicting climate change impacts on crop geography and production. It is concluded that the principal uncertainties in the prediction of the impacts of climate change on agriculture reside in the contribution of the direct effects of increasing CO2, in potential changes inclimate variability, and the effects of adjustments mechanisms in the context of climatic changes.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: ; : Astrophysical mase
    Format: text
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