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    Entropy-Based Streamflow Estimation in Data-Scarce Rivers Using MODIS–Landsat Fusion Imagery

    Source: Journal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 004::page 04025022-1
    Author:
    Rawat, Krishna
    ,
    Sahoo, Bhabagrahi
    ,
    Sahoo, Debi Prasad
    DOI: 10.1061/JHYEFF.HEENG-6387
    Publisher: American Society of Civil Engineers
    Abstract: AbstractFew river systems around the world are adequately gauged. Remote sensing (RS) technology shows great potential for improving the estimation of stream characteristics in regions where field data is limited. However, challenges such as ground ...
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      Entropy-Based Streamflow Estimation in Data-Scarce Rivers Using MODIS–Landsat Fusion Imagery

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311679
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    contributor authorRawat, Krishna
    contributor authorSahoo, Bhabagrahi
    contributor authorSahoo, Debi Prasad
    date accessioned2026-08-20T11:05:31Z
    date available2026-08-20T11:05:31Z
    date copyright2025/06/05
    date issued2025
    identifier otherJHYEFF.HEENG-6387.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311679
    description abstractAbstractFew river systems around the world are adequately gauged. Remote sensing (RS) technology shows great potential for improving the estimation of stream characteristics in regions where field data is limited. However, challenges such as ground ...
    publisherAmerican Society of Civil Engineers
    titleEntropy-Based Streamflow Estimation in Data-Scarce Rivers Using MODIS–Landsat Fusion Imagery
    typeJournal Article
    journal volume30
    journal issue4
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/JHYEFF.HEENG-6387
    journal fristpage04025022-1
    journal lastpage04025022-14
    page14
    treeJournal of Hydrologic Engineering:;2025:;Volume ( 030 ):;issue: 004
    contenttypeFulltext
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