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  • 1970-1974  (12)
  • 1905-1909  (1)
  • 11
    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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  • 12
    Publication Date: 2019-08-28
    Description: Advanced remote sensing techniques are used to: (1)Detect development and spread of corn leaf blight during the growing season; (2) assess the extent and severity of blight infection; (3) assess the impact of blight on corn production; and (4) estimate the applicability of these techniques to similar situations occurring in the future.
    Keywords: BIOSCIENCES
    Type: NASA-TM-X-69055 , LARS-PRINT-100272 , Intern. Symp. on Remote Sensing of Environment; Oct 26, 1972; Ann Arbor, MI; United States
    Format: application/pdf
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  • 13
    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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