Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring
Soil moisture partly controls land‐atmosphere mass and energy exchanges and
ecohydrological processes in natural and agricultural systems. Thus, many models 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 …
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 …
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 …
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 …
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)
Soil moisture estimates are valuable for hydrologic modeling, drought prediction and
management, climate change analysis, and agricultural decision support. However, in situ …
management, climate change analysis, and agricultural decision support. However, in situ …
Multi-profile analysis of soil moisture within the US Climate Reference Network
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 …
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) …
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 …
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)
Soil moisture plays an integral role in multi-scale hydrologic modeling, agricultural decision
analysis, climate change assessments, and drought prediction/prevention. The broad …
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
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 …
considering (a) the influence of hydrometeorological forcing to model the temporal variation …