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    Estimation of Liquid Water Content of Snow Surface by Spectral Reflectance

    Source: Journal of Cold Regions Engineering:;2018:;Volume ( 032 ):;issue: 001
    Author:
    Eppanapelli Lavan Kumar;Lintzén Nina;Casselgren Johan;Wåhlin Johan
    DOI: 10.1061/(ASCE)CR.1943-5495.0000158
    Publisher: American Society of Civil Engineers
    Abstract: This study measures the spectral reflectance from snow with known liquid water content (LWC) in a climate chamber using two optical sensors, a near-infrared (NIR) spectrometer and a Road eye sensor. The spectrometer measures the backscattered radiation in the wavelength range of 92–1,65 nm. The Road eye sensor was developed to monitor and classify winter roads based on reflected intensity measurements at wavelengths of 98, 1,31, and 1,55 nm. Results of the study suggest that the spectral reflectance from snow is inversely proportional to the LWC in snow. Based on the effect of LWC on the spectral reflectance, three optimum wavelength bands are selected in which snow with different LWCs is clearly distinguishable. A widely used remote sensing index known as the normalized difference water index (NDWI) is used to develop a method to estimate the surface LWC for a given snow pack. The derived NDWI values with respect to the known LWC in snow show that the NDWI is sensitive to the LWC in snow and that the NDWI and LWC are directly proportional. Based on this information, the NDWI is used to estimate the surface LWC in snow from measurements on a ski track using the Road eye sensor. The findings suggest that the presented method can be applied to estimate the surface LWC in order to classify snow conditions potentially for ski track and piste applications.
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      Estimation of Liquid Water Content of Snow Surface by Spectral Reflectance

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4250007
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    contributor authorEppanapelli Lavan Kumar;Lintzén Nina;Casselgren Johan;Wåhlin Johan
    date accessioned2019-02-26T07:52:39Z
    date available2019-02-26T07:52:39Z
    date issued2018
    identifier other%28ASCE%29CR.1943-5495.0000158.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250007
    description abstractThis study measures the spectral reflectance from snow with known liquid water content (LWC) in a climate chamber using two optical sensors, a near-infrared (NIR) spectrometer and a Road eye sensor. The spectrometer measures the backscattered radiation in the wavelength range of 92–1,65 nm. The Road eye sensor was developed to monitor and classify winter roads based on reflected intensity measurements at wavelengths of 98, 1,31, and 1,55 nm. Results of the study suggest that the spectral reflectance from snow is inversely proportional to the LWC in snow. Based on the effect of LWC on the spectral reflectance, three optimum wavelength bands are selected in which snow with different LWCs is clearly distinguishable. A widely used remote sensing index known as the normalized difference water index (NDWI) is used to develop a method to estimate the surface LWC for a given snow pack. The derived NDWI values with respect to the known LWC in snow show that the NDWI is sensitive to the LWC in snow and that the NDWI and LWC are directly proportional. Based on this information, the NDWI is used to estimate the surface LWC in snow from measurements on a ski track using the Road eye sensor. The findings suggest that the presented method can be applied to estimate the surface LWC in order to classify snow conditions potentially for ski track and piste applications.
    publisherAmerican Society of Civil Engineers
    titleEstimation of Liquid Water Content of Snow Surface by Spectral Reflectance
    typeJournal Paper
    journal volume32
    journal issue1
    journal titleJournal of Cold Regions Engineering
    identifier doi10.1061/(ASCE)CR.1943-5495.0000158
    page5018001
    treeJournal of Cold Regions Engineering:;2018:;Volume ( 032 ):;issue: 001
    contenttypeFulltext
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