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  • 2020-2023
  • 2015-2019
  • 1980-1984  (7)
  • 1970-1974  (3)
  • 1984  (7)
  • 1973  (3)
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  • 2020-2023
  • 2015-2019
  • 1980-1984  (7)
  • 1970-1974  (3)
Year
  • 1
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Acta Polymerica 35 (1984), S. 161-166 
    ISSN: 0323-7648
    Keywords: Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Physics
    Description / Table of Contents: Molecular weight distributions and the Kuhn-Mark-Houwink equation for linear polyphenylquinoxalines are calculated by application of four different GPC-calibration methods useful for broadly distributed molecular weight standards. In good agreement of the results Schulz-flory distributions are obtained.
    Notes: Die Molmassenverteilungen und die Kuhn-Mark-Houwink-Gleichung für lineare Polyphenylchinoxaline werden durch Anwendung von vier verschiedenen GPC-Eichverfahren für breit verteilte Molmassenstandards berechnet. In übereinstimmung der Ergebnisse der Verfahren werden Schulz-Flory-Verteilungen erhalten.
    Additional Material: 4 Ill.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Weinheim : Wiley-Blackwell
    Acta Polymerica 35 (1984), S. 212-215 
    ISSN: 0323-7648
    Keywords: Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Chemistry and Pharmacology , Physics
    Description / Table of Contents: The Kuhn-Mark-Houwink-equations and the n-, w- and z- averages of the mean square end-to-end distance of linear poly(phenyl quinoxalines) with Schulz-Flory-molecular weight distributions are calculated based on measurements of intrinsic viscosities and molecular weight averages.
    Notes: Aus Messungen von Grenzviskositäten und Molmassenmittelwerten werden die Kuhn-Mark-Houwink-Gleichungen sowie die n-, w- und z- Mittel des quadratischen Endpunktabstands für lineare Polyphenylchinoxaline mit Schulz-Flory-Molmassenverteilungen berechnet.
    Additional Material: 2 Ill.
    Type of Medium: Electronic Resource
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  • 3
    Publication Date: 2011-08-19
    Description: The objectives and anticipated results of a study to define the strengths and limitations of microwave (SIR-B) and optical (thematic Mapper) data, singly and in combination, for the purpose of characterizing forest cover types and condition classes are described. Other specific objectives include: (1) the assessment of the effectiveness of a contextual classification algorithm (SECHO); (2) evaluation of the utility of different look angles of SAR data in determining differences in stand density of commercial forests; and (3) the determination of the effectiveness of the L-band HH polarized SIR-B data in differentiating forest-stand densities.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: JPL The SIR-B Sci. Invest. Plan; 3 p
    Format: text
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  • 4
    Publication Date: 2019-06-28
    Description: Understanding of the relationships between the optical, spectral characteristics and important biological-physical parameters of earth-surface features can best be obtained by carefully controlled studies over fields and plots where complete data describing the condition of targets are attainable and where frequent, timely spectral measurement can be obtained. Development of a vegetation and soils field research data base was initiated in 1972 at Purdue University's Laboratory for Applications of Remote Sensing and expanded in the fall of 1974 by NASA as part of LACIE. Since then, over 250,000 truck-mounted and helicopter-borne spectrometer/multiband radiometer observations have been obtained of more than 50 soil series and 20 species of crops, grasses, and trees. These data are supplemented by an extensive set of biophysical and meteorological data acquired during each mission. The field research data form one of the most complete and best-documented data sets acquired for agricultural remote sensing research. Thus, they are well-suited to serve as a data base for research to: (1) quantiatively determine the relationships of spectral and biophysical characteristics of vegetation, (2) define future sensor systems, and (3) develop advanced data analysis techniques.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E86-10010 , NASA-CR-171894 , NAS 1.26:171894 , LARS-TR-042382
    Format: application/pdf
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  • 5
    Publication Date: 2019-06-27
    Description: Quantitative evaluation of computer-processed ERTS MSS data classifications has shown that major crop species (corn and soybeans) can be accurately identified. The classifications of satellite data over a 2000 square mile area not only covered more than 100 times the area previously covered using aircraft, but also yielded improved results through the use of temporal and spatial data in addition to the spectral information. Furthermore, training sets could be extended over far larger areas than was ever possible with aircraft scanner data. And, preliminary comparisons of acreage estimates from ERTS data and ground-based systems agreed well. The results demonstrate the potential utility of this technology for obtaining crop production information.
    Keywords: GEOPHYSICS
    Type: PAPER-A25 , NASA. Goddard Space Flight Center Symp. on Significant Results obtained from the ERTS-1, Vol. 1, Sect. A and B; p 205-212
    Format: application/pdf
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  • 6
    Publication Date: 2019-06-28
    Description: Most models of crop growth and yield require an estimate of canopy leaf area index (LAI) or absorption of radiation. Relationships between photosynthetically active radiation (PAR) absorbed by corn canopies and the spectral reflectance of the canopies were investigated. Reflectance factor data were acquired with a LANDSAT MSS band radiometer. From planting to silking, the three spectrally predicted vegetation indices examined were associated with more than 95% of the variability in absorbed PAR. The relationships developed between absorbed PAR and the three indices were evaluated with reflectance factor data acquired from corn canopies planted in 1979 through 1982. Seasonal cumulations of measured LAI and each of the three indices were associated with greater than 50% of the variation in final grain yields from the test years. Seasonal cumulations of daily absorbed PAR were associated with up to 73% of the variation in final grain yields. Absorbed PAR, cumulated through the growing season, is a better indicator of yield than cumulated leaf area index. Absorbed PAR may be estimated reliably from spectral reflectance data of crop canopies.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E85-10041 , NASA-CR-171822 , NAS 1.26:171822 , LARS-TR-062984
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  • 7
    Publication Date: 2019-06-28
    Description: Comparisons of the spectral response for incomplete (well-defined row structure) and complete (overlapping row structure) canopies of soybeans indicated a greater dependence on Sun and view geometry for the incomplete canopies. Red and near-IR reflectance for the incomplete canopy decreased as solar zenith angle increased for a nadir view angle until the soil between the plant rows was completely shaded. Thereafter for increasing solar zenith angle, the red reflectance leveled off and the near-IR reflectance increased. A 'hot spot' effect was evident for the red and near-IR reflectance factors. The 'hot spot' effect was more pronounced for the red band based on relative reflectance value changes. The ratios of off-nadir to nadir acquired data reveal that off-nadir red band reflectance factors more closely approximated straightdown measurements for time periods away from solar noon. Normalized difference generally approximated straightdown measurements during the middle portion of the day.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E85-10040 , NASA-CR-171821 , NAS 1.26:171821 , LARS-TR-073184
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  • 8
    Publication Date: 2019-06-28
    Description: A valuable input to crop growth and yield models would be estimates of current crop condition. If multispectral reflectance indicates crop condition, then remote sensing may provide an additional tool for crop assessment. The effects of nitrogen fertilization on the spectral reflectance and agronomic characteristics of winter wheat (Triticum aestivum L.) were determined through field experiments. Spectral reflectance was measured during the 1979 and 1980 growing seasons with a spectroradiometer. Agronomic data included total leaf N concentration, leaf chlorophyll concentration, stage of development, leaf area index (LAI), plant moisture, and fresh and dry phytomass. Nitrogen deficiency caused increased visible, reduced near infrared, and increased middle infrared reflectance. These changes were related to lower levels of chlorophyll and reduced leaf area in the N-deficient plots. Green LAI, an important descriptor of wheat canopies, could be reliably estimated with multispectral data. The potential of remote sensing in distinguishing stressed from healthy crops is demonstrated. Evidence suggests multispectral imagery may be useful for monitoring crop condition.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E85-10080 , NASA-CR-171843 , NAS 1.26:171843 , LARS-TR-111484
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  • 9
    Publication Date: 2019-06-27
    Description: Identification of agricultural crops in Dekalb, Ogle, and Lee counties in Illinois by computer processing of ERTS-1 MSS data
    Keywords: GEOPHYSICS
    Type: E73-10127 , PAPER-A25 , NASA. Goddard Space Flight Center Agr., Forestry, Range Resources; p 25
    Format: text
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  • 10
    Publication Date: 2019-08-13
    Description: The objective of the experiment was to evaluate the use of advanced remote sensing techniques to detect the development and spread of southern corn leaf blight during the growing season across the Corn Belt region. The sampling plan involved the selection of the study area, the determination of the flightline, and the determination of a field sample design. Aspects of data acquisition are discussed, giving attention to ground data collection and aerial data collection. Details of data flow are considered along with data analysis procedures and corn blight records. The experiment results are examined, taking into account photointerpretation results, the machine analysis of multispectral scanner data results, the influence of blight on yields, and questions of crop identification.
    Keywords: GEOPHYSICS
    Type: International Symposium on Remote Sensing of Environment; Oct 02, 1972 - Oct 06, 1972; Ann Arbor, MI
    Format: text
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