Search Results - "Araya, Samuel N."
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Using Machine Learning for Prediction of Saturated Hydraulic Conductivity and Its Sensitivity to Soil Structural Perturbations
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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Advances in soil moisture retrieval from multispectral remote sensing using unoccupied aircraft systems and machine learning techniques
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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Long-term impact of cover crop and reduced disturbance tillage on soil pore size distribution and soil water storage
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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Thermal alteration of soil organic matter properties: a systematic study to infer response of Sierra Nevada climosequence soils to forest fires
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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Thermal alteration of soil physico-chemical properties: a systematic study to infer response of Sierra Nevada climosequence soils to forest fires
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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Machine Learning Based Soil Moisture Retrieval from Unmanned Aircraft System Multispectral Remote Sensing
Published in IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium (26-09-2020)“…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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