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  • 1
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    Instructional image processing on a university mainframe: The Kansas system (1981)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: An interactive digital image processing program package was developed that runs on the University of Kansas central computer, a Honeywell Level 66 multi-processor system. The module form of the package allows easy and rapid upgrades and extensions of the system and is used in remote sensing courses in the Department of Geography, in regional five-day short courses for academics and professionals, and also in remote sensing projects and research. The package comprises three self-contained modules of processing functions: Subimage extraction and rectification; image enhancement, preprocessing and data reduction; and classification. Its use in a typical course setting is described. Availability and costs are considered.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Purdue Univ. CORSE-81: The 1981 Conf. on Remote Sensing Educ.; p 249-252
    Format: text
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  • 2
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    Low-cost digital image processing on a university mainframe computer (1981)
    In:  Other Sources
    Details
    Publication Date: 2011-08-18
    Description: The advantages and limitations of using university mainframe computers in digital image processing instruction are listed. Aspects to be considered when designing software for this purpose include not only two general audience, but also the capabilities of the system regarding the size of the image/subimage, preprocessing and enhancement functions, geometric correction and registration techniques; classification strategy, classification algorithm, multitemporal analysis, and ancilliary data and geographic information systems. The user/software/hardware interaction as well as acquisition and operating costs must also be considered.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Purdue Univ. CORSE-81: The 1981 Conf. on Remote Sensing Educ.; p 231-236
    Format: text
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  • 3
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    Evaluation of space SAR as a land-cover classification (1985)
    In:  CASI
    Details
    Publication Date: 2019-06-28
    Description: The multidimensional approach to the mapping of land cover, crops, and forests is reported. Dimensionality is achieved by using data from sensors such as LANDSAT to augment Seasat and Shuttle Image Radar (SIR) data, using different image features such as tone and texture, and acquiring multidate data. Seasat, Shuttle Imaging Radar (SIR-A), and LANDSAT data are used both individually and in combination to map land cover in Oklahoma. The results indicates that radar is the best single sensor (72% accuracy) and produces the best sensor combination (97.5% accuracy) for discriminating among five land cover categories. Multidate Seasat data and a single data of LANDSAT coverage are then used in a crop classification study of western Kansas. The highest accuracy for a single channel is achieved using a Seasat scene, which produces a classification accuracy of 67%. Classification accuracy increases to approximately 75% when either a multidate Seasat combination or LANDSAT data in a multisensor combination is used. The tonal and textural elements of SIR-A data are then used both alone and in combination to classify forests into five categories.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E86-10004 , NASA-CR-176267 , NAS 1.26:176267 , RSL-TR-605-1
    Format: application/pdf
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  • 4
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    Hydrologic models for land-atmosphere retrospective studies of the use of LANDSAT and AVHRR data (1988)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The use of a Geographic Information System (GIS) and LANDSAT analysis in conjunction with the Simulator for Water Resources on a Rural Basin (SWRRB) hydrologic model to examine the water balance on the Little Washita River basin is discussed. In the research completed to date LANDSAT analysis was used to divide the basin into eight non-contiguous land covers or sub areas. The use of a geographic informatin system allowed for the calculation of SWRRB model parameters in each subarea. Four data sets were constructed in order to compare SWRRB estimates of hydrologic processes using two methods of maximum LAI and two methods of watershed division. These data sets were used with the SWRRB model to obtain daily hydrologic estimates for 1985.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-182862 , NAS 1.26:182862
    Format: application/pdf
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  • 5
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    Hydrologic models for land-atmosphere retrospective studies of the use of LANDSAT and AVHRR data (1988)
    In:  CASI
    Details
    Publication Date: 2019-07-13
    Description: The use of a Geographic Information System (GIS) and LANDSAT analysis in conjunction with the Simulator for Water Resources on a Rural Basin (SWRRB) hydrologic model to examine the water balance on the Little Washita River basin is discussed. LANDSAT analysis was used to divide the basin into eight non-contiguous land covers or subareas: rangeland, grazed range, winter wheat, alfalfa/pasture, bare soil, water, woodland, and impervious land (roads, quarry). The use of a geographic information system allowed for the calculation of SWRRB model parameters in each subarea. Four data sets were constructed in order to compare SWRRB estimates of hydrologic processes using two methods of maximum LAI and two methods of watershed subdivision. Maximum LAI was determined from a continental scale map, which provided a value of 4.5 for the entire basin, and from its association with the type of land-cover (eight values). The two methods of watershed subdivision were determined according to drainage subbasin (four) and the eight land-covers. These data sets were used with the SWRRB model to obtain daily hydrologic estimates for 1985. The results of the one year analysis lead to the conclusion that the greater homogeneity of a land-cover subdivision provides better water yield estimates than those based on a drainage properties subdivision.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: NASA-CR-182861 , NAS 1.26:182861
    Format: application/pdf
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  • 6
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    Mapping irrigated lands in Western Kansas from Landsat (1981)
    In:  Other Sources
    Details
    Publication Date: 2019-07-13
    Description: A description is presented of a multidate visual interpretation technique for identifying and mapping irrigated lands in Western Kansas based on gray tone interpretation of Landsat imagery. The technique provides detailed maps of irrigated lands that can be updated yearly (from 1972 onwards) and used as the basis for calculations of water use and its temporal trends. A review of remote sensing work on irrigated lands indicates that three different types of study have evolved, involving various combinations of desired final data and the means of arriving at it. Attention is given to crop characteristics, the development of an interpretation technique, the interpretation procedure, the computer assisted output, and aspects of verification and accuracy. It is pointed out that the considered technique is likely to be applicable to similar situations of a semi-arid area dominated by a small number of crops.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Annual William T. Pecora Memorial Symposium on Remote Sensing; Jun 10, 1979 - Jun 15, 1979; Sioux Falls, SD
    Format: text
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