Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring

TE Franz, T Wang, W Avery… - Geophysical …, 2015 - Wiley Online Library
Soil moisture partly controls land‐atmosphere mass and energy exchanges and
ecohydrological processes in natural and agricultural systems. Thus, many models and …

Relating coccidioidomycosis (valley fever) incidence to soil moisture conditions

EJ Coopersmith, JE Bell, K Benedict, J Shriber… - …, 2017 - Wiley Online Library
Coccidioidomycosis (also called Valley fever) is caused by a soilborne fungus, Coccidioides
spp., in arid regions of the southwestern United States. Though some who develop …

[HTML][HTML] Estimating evapotranspiration in a post-fire environment using remote sensing and machine learning

PK Poon, AM Kinoshita - Remote Sensing, 2018 - mdpi.com
In the hydrological cycle, evapotranspiration (ET) transfers moisture from the land surface to
the atmosphere and is sensitive to disturbances such as wildfires. Ground-based pre-and …

Using machine learning to produce near surface soil moisture estimates from deeper in situ records at US Climate Reference Network (USCRN) locations: Analysis …

EJ Coopersmith, MH Cosh, JE Bell, R Boyles - Advances in Water …, 2016 - Elsevier
Surface soil moisture is a critical parameter for understanding the energy flux at the land
atmosphere boundary. Weather modeling, climate prediction, and remote sensing validation …

Extending the soil moisture data record of the US Climate Reference Network (USCRN) and Soil Climate Analysis Network (SCAN)

EJ Coopersmith, JE Bell, MH Cosh - Advances in Water Resources, 2015 - Elsevier
Soil moisture estimates are valuable for hydrologic modeling, drought prediction and
management, climate change analysis, and agricultural decision support. However, in situ …

Multi-profile analysis of soil moisture within the US Climate Reference Network

EJ Coopersmith, MH Cosh, JE Bell… - Vadose Zone …, 2016 - pubs.geoscienceworld.org
Soil moisture estimates are crucial for hydrologic modeling and agricultural decision-support
efforts. These measurements are also pivotal for long-term inquiries regarding the impacts of …

Comparison of first-order and second-order derived moment approaches in estimating annual runoff distribution

Y Kuang, L Xiong, K Yu, P Liu, CY Xu… - Journal of Hydrologic …, 2018 - ascelibrary.org
The first-order second-moment approximation (FOSM) has been proposed to estimate the
annual runoff (Q) distribution from the statistical information of annual precipitation (P) …

Transforming soil paradigms with machine learning

K Sweta, S Dharumarajan, A Suputhra… - Data science in …, 2022 - Springer
Numerous technological advancements have assisted to secure the vital key for scientific
predictions in various fields, and soil science is no exception. Soil has always been chosen …

Comparing AMSR-E soil moisture estimates to the extended record of the US Climate Reference Network (USCRN)

EJ Coopersmith, MH Cosh, R Bindlish, J Bell - Advances in Water …, 2015 - Elsevier
Soil moisture plays an integral role in multi-scale hydrologic modeling, agricultural decision
analysis, climate change assessments, and drought prediction/prevention. The broad …

A hydrometeorological approach for probabilistic simulation of monthly soil moisture under bare and crop land conditions

SK Das, R Maity - Water Resources Research, 2015 - Wiley Online Library
This study focuses on the probabilistic estimation of monthly soil moisture variation by
considering (a) the influence of hydrometeorological forcing to model the temporal variation …