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Potential for high fidelity global mapping of common inland water quality products at high spatial and temporal resolutions based on a synthetic data and machine learning approach

Author: Kravitz, J ; Matthews, M ; Lain, L ; Fawcett, S ; Bernard, Stewart Date: Mar 2021 There is currently a scarcity of paired in-situ aquatic optical and biogeophysical data for productive inland waters, which critically hinders our capacity to develop and validate robust retrieval models for Earth Observation applications. ... Read more

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Browsing by Subject "Cyanobateria"

Browsing by Subject "Cyanobateria"

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