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  • 1
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    Numeric ActiveX components (2001)
    Wiley
    Details
    Publication Date: 2001-02-01
    Print ISSN: 0038-0644
    Electronic ISSN: 1097-024X
    Topics: Computer Science
    Published by Wiley
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    PAPER CURRENT
  • 2
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    Improving the output of the FORTRAN to C translator, f2c (1995)
    Wiley
    Details
    Publication Date: 1995-02-01
    Print ISSN: 0038-0644
    Electronic ISSN: 1097-024X
    Topics: Computer Science
    Published by Wiley
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    PAPER CURRENT
  • 3
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    The application of forest classification from Landsat data as a basis for natural hydrocarbon emission estimation and photochemical oxidant model simulations in southeastern Virginia (1983)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: The possible contribution by natural hydrocarbon emissions to the total ozone budget recorded in the Tidewater region of southeastern Virginia during the height of the summer period was examined. Natural sources investigated were limited to the primary HC emitters and most prevalent natural vegetation, the forests. Three types and their areal coverage were determined for Region VI of the Virginia State Air Pollution Control Board using remotely sensed data from Landsat, a NASA experimental earth resources satellite. Emission factors appropriate to the specific types (coniferous 0.24 x 10 to the 13th, mixed 0.63 x 10 to the 13th, deciduous 1.92 x 10 to the 13th, microgram/h), derived from contemporary procedures, were applied to produce an overall regional emission rate of 2.79 x 10 to the 13th microgram/h for natural non-methane hydrocarbons (NMHC). This rate was used with estimates of the anthropogenic NO(x) and NMHC loading, as input into a photochemical box model. Additional HC loading on the order of that estimated to be produced by the natural forest communities was required in order to reach certain measured summer peak ozone levels as the computer simulation was unable to account for the measured episodic levels on the basis of the anthropogenic inventory alone.
    Keywords: GEOPHYSICS
    Type: Air Pollution Control Association; vol. 33
    Format: text
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    NASA TECHNICAL REPORTS
  • 4
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    Measurement of transpiration in Pinus taeda L. and Liquidambar styraciflua L. in an environmental chamber using tritiated water (1976)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: Transpiration rates of loblolly pine (Pinus taeda L.) and sweetgum (Liquidambar styraciflua L.) were measured at two different atmospheric water vapor pressure deficits (V.P.D.) in a controlled environment growth chamber using tritiated water as a tracer. The trees were maintained in a sealed plant bed containing a hydroponic nutrient solution into which labeled water (spike) was introduced. Samples of leaves, chamber air, spiked nutrient solution and control water were assayed for ratio-activity using liquid scintillation techniques to determine transpiration rates. The transpiration rate of sweetgum in ml./hr./gm. (4.95) was found to be 5 times greater than that of loblolly pine (1.03) at 1.84 V.P.D. and 8 times greater at 6.74 V.P.D. (15.99 for sweetgum vs. 2.19 for pine). Transpiration (based on measurements of leaf radioactivity) in both species rose with increasing deficit; however sweetgum increased its output by 3 times while pine only doubled its rate. Cyclical changes in transpiration rates were noted in both species; the sweetgum cycle required a 6 hour interval whereas the pine cycle required a 9 hour interval.
    Keywords: LIFE SCIENCES (GENERAL)
    Type: NASA-CR-147924 , PGSTR-BAP76-32
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 5
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    Mapping forest vegetation with ERTS-1 MSS data and automatic data processing techniques (1975)
    In:  CASI
    Details
    Publication Date: 2019-06-27
    Description: This study was undertaken with the intent of elucidating the forest mapping capabilities of ERTS-1 MSS data when analyzed with the aid of LARS' automatic data processing techniques. The site for this investigation was the Great Dismal Swamp, a 210,000 acre wilderness area located on the Middle Atlantic coastal plain. Due to inadequate ground truth information on the distribution of vegetation within the swamp, an unsupervised classification scheme was utilized. Initially pictureprints, resembling low resolution photographs, were generated in each of the four ERTS-1 channels. Data found within rectangular training fields was then clustered into 13 spectral groups and defined statistically. Using a maximum likelihood classification scheme, the unknown data points were subsequently classified into one of the designated training classes. Training field data was classified with a high degree of accuracy (greater than 95 percent), and progress is being made towards identifying the mapped spectral classes.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-148136
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 6
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    Mapping forest vegetation with ERTS-1 MSS data and automatic data processing techniques (1975)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: This study was undertaken with the intent of elucidating the forest mapping capabilities of ERTS-1 MSS data when analyzed with the aid of LARS' automatic data processing techniques. The site for this investigation was the Great Dismal Swamp, a 210,000 acre wilderness area located on the Middle Atlantic coastal plain. Due to inadequate ground truth information on the distribution of vegetation within the swamp, an unsupervised classification scheme was utilized. Initially pictureprints, resembling low resolution photographs, were generated in each of the four ERTS-1 channels. Data found within rectangular training fields was then clustered into 13 spectral groups and defined statistically. Using a maximum likelihood classification scheme, the unknown data points were subsequently classified into one of the designated training classes. Training field data was classified with a high degree of accuracy (greater than 95%), and progress is being made towards identifying the mapped spectral classes.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Remote sensing of earth resources. Volume 4; Mar 24, 1975 - Mar 26, 1975; Tullahoma, TN
    Format: text
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    NASA TECHNICAL REPORTS
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