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  • 1
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    Application of LANDSAT data to monitor land reclamation progress in Belmont County, Ohio (1981)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: Strip and contour mining techniques are reviewed as well as some studies conducted to determine the applicability of LANDSAT and associated digital image processing techniques to the surficial problems associated with mining operations. A nontraditional unsupervised classification approach to multispectral data is considered which renders increased classification separability in land cover analysis of surface mined areas. The approach also reduces the dimensionality of the data and requires only minimal analytical skills in digital data processing.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: 2nd Eastern Reg. Remote Sensing Appl. Conf.; p 167-190
    Format: text
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    NASA TECHNICAL REPORTS
  • 2
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    Remote sensing: Present and future (1981)
    In:  Other Sources
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    Publication Date: 2011-08-18
    Description: Satellite remote sensing technology is overviewed with particular emphasis on the present and planned LANDSAT satellite systems. Satellite-borne instrumentation and their capabilities are discussed including multispectral scanners, return beam vidicons, the thermal inertia mapper, and STEREOSAT instrumentation.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Purdue Univ. CORSE-81: The 1981 Conf. on Remote Sensing Educ.; p 87-92
    Format: text
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    NASA TECHNICAL REPORTS
  • 3
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    Comparing digital data processing techniques for surface mine and reclamation monitoring (1982)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: The results of three techniques used for processing Landsat digital data are compared for their utility in delineating areas of surface mining and subsequent reclamation. An unsupervised clustering algorithm (ISOCLS), a maximum-likelihood classifier (CLASFY), and a hybrid approach utilizing canonical analysis (ISOCLS/KLTRANS/ISOCLS) were compared by means of a detailed accuracy assessment with aerial photography at NASA's Goddard Space Flight Center. Results show that the hybrid approach was superior to the traditional techniques in distinguishing strip mined and reclaimed areas.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: American Congress on Surveying and Mapping and American Society of Photogrammetry Convention; APS Annual Meeting; Mar 14, 1982 - Mar 20, 1982; Denver, CO
    Format: text
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    NASA TECHNICAL REPORTS
  • 4
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    An unsupervised classification approach for analysis of Landsat data to monitor land reclamation in Belmont county, Ohio (1981)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: Two unsupervised classification procedures for analyzing Landsat data used to monitor land reclamation in a surface mining area in east central Ohio are compared for agreement with data collected from the corresponding locations on the ground. One procedure is based on a traditional unsupervised-clustering/maximum-likelihood algorithm sequence that assumes spectral groupings in the Landsat data in n-dimensional space; the other is based on a nontraditional unsupervised-clustering/canonical-transformation/clustering algorithm sequence that not only assumes spectral groupings in n-dimensional space but also includes an additional feature-extraction technique. It is found that the nontraditional procedure provides an appreciable improvement in spectral groupings and apparently increases the level of accuracy in the classification of land cover categories.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Machine processing of remotely sensed data with special emphasis on range, forest, and wetlands assessment; Jun 23, 1981 - Jun 26, 1981; West Lafayette, IN
    Format: text
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    NASA TECHNICAL REPORTS
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