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  • 1
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    In:  CASI
    Publication Date: 2016-06-07
    Description: Southern corn leaf blight is caused by the fungus, Helminthosporium maydis. Race T of H maydis adapted itself to the Texas male sterile cytoplasm corn. The problems caused by this variety of the blight in 1970 and 1971 are discussed, as well as the symptoms and development of the disease.
    Keywords: GEOPHYSICS
    Type: NASA. Manned Spacecraft Center 4th Ann. Earth Resources Program Review, Vol. 5; 19 p
    Format: application/pdf
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  • 2
    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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  • 3
    Publication Date: 2019-06-27
    Description: Results pertaining to the detection and assessment of the severity and extent of southern corn leaf blight in the Corn Belt area are discussed. Ground observations, interpretation of color infrared photography, and machine analysis of multispectral scanner data were used to identify the blight.
    Keywords: GEOPHYSICS
    Type: NASA. Manned Spacecraft Center 4th Ann. Earth Resources Program Review, Vol. 5; 23 p
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  • 4
    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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  • 5
    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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  • 6
    Publication Date: 2019-07-13
    Description: Multispectral photographic and scanner data were collected over western Indiana in August and September 1970, to determine the detectability of southern corn leaf blight by remote sensing. Measurements were made at altitudes of 3000 to 7000 ft. Color, color IR, and multiband black and white photography were collected at altitudes from 3000 to 60,000 ft. Six levels of infection based on the amount of leaf damage were identified in the fields. Three levels of infection were detected with color IR photography by standard photo-interpretive techniques. Up to five levels of infection were distinguished by applying automatic pattern recognition techniques to the multispectral scanner data. The results illustrate the potential of remote sensing techniques in the detection of crop diseases.
    Keywords: GEOPHYSICS
    Type: International Symposium on Remote Sensing of Environment, 7th, University of Michigan; May 17, 1971 - May 21, 1971; Ann Arbor, MI
    Format: text
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