Search Results - "Kostadinov, Tihomir S"

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    Carbon-based phytoplankton size classes retrieved via ocean color estimates of the particle size distribution by Kostadinov, Tihomir S, Milutinović, Svetlana, Marinov, Irina, Cabré, Anna

    Published in Ocean science (18-04-2016)
    “…Owing to their important roles in biogeochemical cycles, phytoplankton functional types (PFTs) have been the aim of an increasing number of ocean color…”
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    Journal Article
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    A 20-Year Ecotone Study of Pacific Northwest Mountain Forest Vulnerability to Changing Snow Conditions by Lookingbill, Todd R., DuPuy, Jack, Jacobs, Ellery, Gonzalez, Matteo, Kostadinov, Tihomir S.

    Published in Land (Basel) (01-04-2024)
    “…(1) Background: Global climate change is expected to significantly alter growing conditions along mountain gradients. Landscape ecological patterns are likely…”
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    Journal Article
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    The effect of surface irradiance on the absorption spectrum of chromophoric dissolved organic matter in the global ocean by Swan, Chantal M., Nelson, Norman B., Siegel, David A., Kostadinov, Tihomir S.

    “…The cycling pathways of chromophoric dissolved organic matter (CDOM) within marine systems must be constrained to better assess the impact of CDOM on surface…”
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    Journal Article
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    Phenology of Size-Partitioned Phytoplankton Carbon-Biomass from Ocean Color Remote Sensing and CMIP5 Models by Cabré, Anna, Shields, David, Marinov, Irina, Kostadinov, Tihomir S.

    Published in Frontiers in Marine Science (30-03-2016)
    “…We use a novel satellite time series of size-partitioned phytoplankton biomass to construct and analyze classical and novel seasonality metrics. Biomass is…”
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    Watershed-scale mapping of fractional snow cover under conifer forest canopy using lidar by Kostadinov, Tihomir S., Schumer, Rina, Hausner, Mark, Bormann, Kat J., Gaffney, Rowan, McGwire, Kenneth, Painter, Thomas H., Tyler, Scott, Harpold, Adrian A.

    Published in Remote sensing of environment (01-03-2019)
    “…The distribution of snow cover is critical for predicting ecohydrological processes and underpins mountain water supplies in ranges like the Sierra Nevada in…”
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    Bias Correction of Airborne Thermal Infrared Observations Over Forests Using Melting Snow by Pestana, Steven, Chickadel, C. Chris, Harpold, Adrian, Kostadinov, Tihomir S., Pai, Henry, Tyler, Scott, Webster, Clare, Lundquist, Jessica D.

    Published in Water resources research (01-12-2019)
    “…Uncooled thermal infrared (TIR) imagers, commonly used on aircraft and small unmanned aircraft systems (UAS, “drones”), can provide high‐resolution surface…”
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    Journal Article
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