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All Library Books, journals and Electronic Records Telegrafenberg

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  • 1
    Publication Date: 2019-07-13
    Description: A method is described for combining measurements of hydrologic variables of various sampling geometries and measurement accuracies to produce an estimated mean areal value over a watershed and a measure of the accuracy of the mean areal value. The method provides a means to integrate measurements from conventional hydrological networks and remote sensing. The resulting areal averages can be used to enhance a wide variety of hydrological applications including basin modeling. The correlation area method assigns weights to each available measurement (point, line, or areal) based on the area of the basin most accurately represented by the measurement. The statistical characteristics of the accuracy of the various measurement technologies and of the random fields of the hydrologic variables used in the study (water equivalent of the snow cover and soil moisture) required to implement the method are discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E83-10204 , NASA-CR-170457 , NAS 1.26:170457
    Format: application/pdf
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  • 2
    Publication Date: 2019-06-28
    Description: Present and planned remote sensing capabilities were evaluated. The usefulness of six remote sensing capabilities (soil moisture, land cover, impervious area, areal extent of snow cover, areal extent of frozen ground, and water equivalent of the snow cover) with seven hydrologic models (API, CREAMS, NWSRFS, STORM, STANFORD, SSARR, and NWSRFS Snowmelt) were reviewed. The results indicate remote sensing information has only limited value for use with the hydrologic models in their present form. With minor modifications to the models the usefulness would be enhanced. Specific recommendations are made for incorporating snow covered area measurements in the NWSRFS Snowmelt model. Recommendations are also made for incorporating soil moisture measurements in NWSRFS. Suggestions are made for incorporating snow covered area, soil moisture, and others in STORM and SSARR. General characteristics of a hydrologic model needed to make maximum use of remotely sensed data are discussed. Suggested goals for improvements in remote sensing for use in models are also established.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E82-10156 , NASA-CR-166729 , NAS 1.26:166729
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  • 3
    Publication Date: 2019-06-28
    Description: Hydrologic models most commonly used by federal agencies for hydrologic forecasting are reviewed. Six catchment models and one snow accumulation and ablation model are reviewed. Information on the structure, parameters, states, and required inputs is presented in schematic diagrams and in tables. The primary and secondary roles of parameters and state variables with respect to their function in the models are identified. The information will be used to evaluate the usefulness of remote sensing capabilities in the operational use of hydrologic models.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Remote Sensing and Hydrol. Models; 93 p
    Format: text
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  • 4
    Publication Date: 2019-06-28
    Description: All user and programmer information required for using the correlation area method (CAM) program is presented. This program combines measurements of hydrologic variables from all measurement technologies to produce estimated areal mean values. The method accounts for sampling geometries and measurement accuracies and provides a measure of the accuracy of the estimated mean areal value.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10172 , NASA-CR-175270 , NAS 1.26:175270
    Format: application/pdf
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  • 5
    Publication Date: 2019-06-28
    Description: Present and planned remote sensing capabilities were evaluated. The usefulness of six remote sensing capabilities (soil moisture), land cover, impervious area, areal extent of snow cover, areal extent of frozen ground, and water equivalent of the snow cover) with seven hydrologic models (API, CREAMS, NWSRFS, STORM, STANFORD, SSARR, and NWSRFS Snowmelt) were reviewed. The results indicate remote sensing information has only limited value for use with the hydrologic models in their present form. Modifications to the models which would enhance their usefulness are discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: Remote Sensing and Hydrol. Models; 84 p
    Format: text
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  • 6
    Publication Date: 2019-06-28
    Description: Hydrology moels are reviewed in order to provide information for evaluating the use of remote sensing capabilities. Strategies for using remotely sensed data in hydrology moels are also discussed.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: E84-10082 , NASA-CR-173232 , CP-G204249 , NAS 1.26:173232
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  • 7
    Publication Date: 1973-01-01
    Print ISSN: 0096-3941
    Electronic ISSN: 2324-9250
    Topics: Geosciences
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