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    Landsat and Water Quality Model Verification

    Source: Journal of Transportation Engineering, Part A: Systems:;1983:;Volume ( 109 ):;issue: 005
    Author:
    Donald Steven Graham
    ,
    John M. Hill
    DOI: 10.1061/(ASCE)0733-947X(1983)109:5(640)
    Publisher: American Society of Civil Engineers
    Abstract: It has been shown that satellites can provide an image of water quality patterns over a large constantly‐changing coastal area and that these data can be used to infer circulation and calibrate real‐time water quality models. Water quality data were acquired (at the time of a Landsat‐2 overpass) to calibrate and verify a hydrodynamic model, as well as to test the usefulness of remotely sensed data to assist in the modeling effort. Digital enhancement and analysis of the satellite images demonstrated that water color and turbidity distributions could be discriminated and mapped. Surface‐sampled dissolved oxygen and pH correlated well with color which, in turn, corresponds closely with the image patterns. Circulation (CAFE‐1) and concentration (DISPER‐1) model outputs also corresponded well with the image characteristics.
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      Landsat and Water Quality Model Verification

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    https://yetl.yabesh.ir/yetl1/handle/yetl/36108
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    • Journal of Transportation Engineering, Part A: Systems

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    contributor authorDonald Steven Graham
    contributor authorJohn M. Hill
    date accessioned2017-05-08T21:01:57Z
    date available2017-05-08T21:01:57Z
    date copyrightSeptember 1983
    date issued1983
    identifier other%28asce%290733-947x%281983%29109%3A5%28640%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/36108
    description abstractIt has been shown that satellites can provide an image of water quality patterns over a large constantly‐changing coastal area and that these data can be used to infer circulation and calibrate real‐time water quality models. Water quality data were acquired (at the time of a Landsat‐2 overpass) to calibrate and verify a hydrodynamic model, as well as to test the usefulness of remotely sensed data to assist in the modeling effort. Digital enhancement and analysis of the satellite images demonstrated that water color and turbidity distributions could be discriminated and mapped. Surface‐sampled dissolved oxygen and pH correlated well with color which, in turn, corresponds closely with the image patterns. Circulation (CAFE‐1) and concentration (DISPER‐1) model outputs also corresponded well with the image characteristics.
    publisherAmerican Society of Civil Engineers
    titleLandsat and Water Quality Model Verification
    typeJournal Paper
    journal volume109
    journal issue5
    journal titleJournal of Transportation Engineering, Part A: Systems
    identifier doi10.1061/(ASCE)0733-947X(1983)109:5(640)
    treeJournal of Transportation Engineering, Part A: Systems:;1983:;Volume ( 109 ):;issue: 005
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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