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    Earth reflector type classification based on multispectral remote sensing image

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    Date Issued
    2018-07-29
    Author(s)
    Song, Wanjuan
    Knjazihhin, Juri
    Mõttus, Matti
    Mu, Xihan
    Yan, Guangjian
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    Permanent Link
    https://hdl.handle.net/2144/40731
    Version
    Accepted manuscript
    Citation (published version)
    Wanjuan Song, Juri Knjazihhin, Matti Mõttus, Xihan Mu, Guangjian Yan. 2018. "Earth Reflector Type Classification Based on Multispectral Remote Sensing Image."
    Abstract
    Earth’s reflectivity is one of the key parameters of climate change, Earth’s radiation budget research and so on. It is determined by the characteristic of Earth atmosphere components. Earth atmosphere components vary strongly in both spatially and temporally, thus complete spatial mosaics and/or richer time series information are needed. In this study, we developed an Earth Reflector Type Index (ERTI) to discriminate major Earth atmosphere components: clouds, cloud-free ocean, bare and vegetated land. Results show that the probability of the ERTI method with selected thresholds being able to discriminate between cloudy and cloud-free scenes is about 82%. ERTI can be used to interpret global Earth’s reflectivity and its temporal variation.
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    • CAS: Earth & Environment: Scholarly Papers [111]
    • BU Open Access Articles [3664]


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