Search Results - "Araya, Samuel N."

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  1. 1

    Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations by Araya, Samuel N., Ghezzehei, Teamrat A.

    Published in Water resources research (01-07-2019)
    “…Saturated hydraulic conductivity (Ks) is a fundamental soil property that regulates the fate of water in soils. Its measurement, however, is cumbersome and…”
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    Journal Article
  2. 2

    Advances in soil moisture retrieval from multispectral remote sensing using unoccupied aircraft systems and machine learning techniques by Araya, Samuel N, Fryjoff-Hung, Anna, Anderson, Andreas, Viers, Joshua H, Ghezzehei, Teamrat A

    Published in Hydrology and earth system sciences (25-05-2021)
    “…This study investigates the ability of machine learning models to retrieve the surface soil moisture of a grassland area from multispectral remote sensing…”
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    Journal Article
  3. 3

    Long-term impact of cover crop and reduced disturbance tillage on soil pore size distribution and soil water storage by Araya, Samuel N., Mitchell, Jeffrey P., Hopmans, Jan W., Ghezzehei, Teamrat A.

    Published in Soil (17-03-2022)
    “…We studied the long-term impact of contrasting tillage and cover cropping systems on soil structure and hydraulic properties. Complete water retention and…”
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    Journal Article
  4. 4

    Thermal alteration of soil organic matter properties: a systematic study to infer response of Sierra Nevada climosequence soils to forest fires by Araya, Samuel N, Fogel, Marilyn L, Asmeret Asefaw Berhe

    Published in Soil (01-01-2017)
    “…Fire is a major driver of soil organic matter (SOM) dynamics, and contemporary global climate change is changing global fire regimes. We conducted laboratory…”
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    Journal Article
  5. 5

    Thermal alteration of soil physico-chemical properties: a systematic study to infer response of Sierra Nevada climosequence soils to forest fires by Araya, Samuel N., Meding, Mercer, Berhe, Asmeret Asefaw

    Published in Soil (01-01-2016)
    “…Fire is a common ecosystem perturbation that affects many soil properties. As global fire regimes continue to change with climate change, we investigated…”
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    Journal Article
  6. 6

    Machine Learning Based Soil Moisture Retrieval from Unmanned Aircraft System Multispectral Remote Sensing by Araya, Samuel N., Fryjoff-Hung, Anna, Anderson, Andreas, Viers, Joshua H., Ghezzehei, Teamrat A.

    “…We developed machine learning models to retrieve surface soil moisture (0-4 cm) from high resolution multispectral imagery, terrain attributes, and local…”
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    Conference Proceeding