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  • INSTRUMENTATION AND PHOTOGRAPHY  (4)
  • EARTH RESOURCES AND REMOTE SENSING
  • 1990-1994  (2)
  • 1965-1969  (3)
  • 1
    Publication Date: 2011-08-24
    Description: Although several methods exist for the determination of the flux of an atmospheric species, the airborne eddy correlation method has the advantage of providing direct flux measurements that are representative of regional spatial domains. The design criteria pertinent to the construction of chemical instrumentation suitable for use in airborne eddy correlation flux measurements are discussed. A brief overview of the advantages and limitations of the current instrumentation used to obtain flux measurements for CO, CH4, O3, CO2, and water vapor are given. The intended height of the measurement within the convective boundary layer is also shown to be an important design criteria. The sensitivity, or resolution, which is required in the measurement of a scalar species to obtain an adequate species flux measurement is discussed. The relationship between the species flux resolution and the more commonly stated instrumental resolution is developed and it is shown that the standard error of the flux estimate is a complicated function of the atmospheric variability and the averaging time that is used. The use of the recently proposed intermittent sampling method to determine the species flux is examined. The application of this technique may provide an opportunity to expand the suite of trace gases for which direct flux measurements are possible.
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: In: Optical methods in atmospheric chemistry; Proceedings of the Meeting, Berlin, Germany, June 22-24, 1992 (A93-51501 22-35); p. 404-412.
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  • 2
    Publication Date: 2011-08-19
    Description: Recent research has shown an artificial neural network (ANN) to be capable of pattern recognition and the classification of image data. This paper examines the potential for the application of neural network computing to satellite image processing. A second objective is to provide a preliminary comparison and ANN classification. An artificial neural network can be trained to do land-cover classification of satellite imagery using selected sites representative of each class in a manner similar to conventional supervised classification. One of the major problems associated with recognition and classifications of pattern from remotely sensed data is the time and cost of developing a set of training sites. This reseach compares the use of an ANN back propagation classification procedure with a conventional supervised maximum likelihood classification procedure using a minimal training set. When using a minimal training set, the neural network is able to provide a land-cover classification superior to the classification derived from the conventional classification procedure. This research is the foundation for developing application parameters for further prototyping of software and hardware implementations for artificial neural networks in satellite image and geographic information processing.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Photogrammetric Engineering and Remote Sensing (ISSN 0099-1112); 56; 469-473
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  • 3
    Publication Date: 2011-08-11
    Description: Lithium drifted germanium detector with cylindrical annular shape permitting standardization of gamma spectroscopy techniques
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: /NUCLEAR SCIENCE SYMPOSIUM ON INSTRUMENTATION IN SPACE AND LAB.
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  • 4
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    In:  Other Sources
    Publication Date: 2019-06-27
    Description: Ge/Li/ drifted gamma detector for 1/2 to 10 Mev range, measuring response deviation from linearity
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: NUCLEAR INSTRUMENTS AND METHODS
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  • 5
    Publication Date: 2019-06-27
    Description: Fabrication and development of annular lithium drifted germanium detector for studying nuclear reaction gamma rays
    Keywords: INSTRUMENTATION AND PHOTOGRAPHY
    Type: NASA-CR-1138
    Format: application/pdf
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