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  • 1
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    Classifying and monitoring water quality by use of satellite imagery (1976)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: A technique is developed to eliminate the atmosphere and surface noise effects on Landsat signals of water bodies by manipulating the total signal from Landsat in such a way that only the volume reflectance is left as a residual. With the Landsat signal from a lake and the known volume reflectance for its clear water it is possible to eliminate the surface and atmospheric effects and have residual signals that are indicative only of the type and concentration of the material in other lakes. Laboratory values are more precise than field values because in the field one must contend with indirect skylight and wave action which can be removed in the laboratory. The volume reflectance of distilled water or a very clear lake approaching distilled water was determined in the laboratory by the use of the Bendix radiant power measuring instrument. The Bendix multispectral data analysis system provided a color categorized image of several hundred lakes in a Wisconsin area. These lakes were categorized for tannin and nontannin waters and for the degrees of algae, silt, weeds, and bottom effects present.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Fall Convention; Oct 26, 1975 - Oct 31, 1975; Phoenix, AZ
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    Adaptive processing for LANDSAT data (1975)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: Analytical and test results on the use of adaptive processing on LANDSAT data are presented. The Kalman filter was used as a framework to contain different adapting techniques. When LANDSAT MSS data were used all of the modifications made to the Kalman filter performed the functions for which they were designed. It was found that adaptive processing could provide compensation for incorrect signature means, within limits. However, if the data were such that poor classification accuracy would be obtained when the correct means were used, then adaptive processing would not improve the accuracy and might well lower it even further.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-141894 , ERIM-109600-14-F
    Format: application/pdf
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    NASA TECHNICAL REPORTS
  • 3
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    Number of signatures necessary for accurate classification (1976)
    In:  Other Sources
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    Publication Date: 2019-07-13
    Description: This paper presents a procedure for determining the number of signatures to use in classifying multispectral scanner data. A large initial set of signatures is obtained by clustering the training points within each category (such as 'wheat' or 'other') to be recognized. These clusters are then combined into broader signatures by a program that considers each pair of signatures within a category, combines the best pair in the light of certain criteria, saves the combined signature and repeats the procedure until there is one signature for each category. The result is a collection of sets of signatures, one set for each number between the number of initial clusters and the number of categories. With the aid of statistics such as an estimate of the probability of misclassification between categories, the user can choose the smallest set satisfying his requirements for classification accuracy.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Symposium on Machine Processing of Remotely Sensed Data; Jun 29, 1976 - Jul 01, 1976; West Lafayette, IN
    Format: text
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    NASA TECHNICAL REPORTS
  • 4
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    Classifying and monitoring water quality by use of satellite imagery (1975)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: A technique in which LANDSAT measurements from very clear lakes are subtracted from measurements from other lakes in order to remove atmospheric and surface noise effects to obtain a residual signal dependent only on the material suspended in the water is described. This residual signal is used by the Multispectral Data Analysis System as a basis for producing color categorized imagery showing lakes by type and concentration of suspended material. Several hundred lakes in the Madison and Spooner, Wisconsin area were categorized for tannin or non-tannin waters and for the degree of algae, silt, weeds, and bottom effects.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-144752 , BSR-4197 , Intern. Conf. on Environ. Sensing and Assessment; Sep 14, 1975 - Sep 19, 1975; Las Vegas, NV; United States
    Format: application/pdf
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    NASA TECHNICAL REPORTS
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