Daniel R. Fuka

Virginia Tech — United States

Environmental Science · Physical Sciences

24h-index2.3kcitations109works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Hydrology and Watershed Management Studies(60), Soil and Water Nutrient Dynamics(23), Soil erosion and sediment transport(14), Hydrological Forecasting Using AI(14), Flood Risk Assessment and Management(13)

Publications109 total

Comment on egusphere-2025-5813
2026Open Access
Calibrating on Downscaled Satellite Soil Moisture Data Can Improve Watershed Model Performance in Predicting Soil Moisture Variability
2025Open Access
Characterizing the topographic index as a tool to represent spatial soil moisture: The effect of classification approach, digital elevation model type, and resolution
Vadose Zone Journal·2025Open Access
Comparison among grazing animal behavior classification algorithms for use with open-source wearable sensors
Smart Agricultural Technology·2025Open Access
Employing higher density lower reliability weather data from the Global Historical Climatology Network monitors to generate serially complete weather data for watershed modelling
Hydrological Processes·2023· 2 citedOpen Access
Benefits of Using Higher Density Lower Reliability Weather Data from the Global Historical Climatology Network (GHCN) Monitors for Watershed Modelling
2023Open Access
Comparison Among Grazing Animal Behavior Classification Algorithms for Use with Open-Source Wearable Sensors
SSRN Electronic Journal·2023Open Access
Watershed model parameter estimation in low data environments
Journal of Hydrology Regional Studies·2022· 11 citedOpen Access
Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential
Biogeosciences·2022· 35 citedOpen Access
Reviews and syntheses: The promise of big soil data, moving current practices towards future potential
2021· 2 citedOpen Access
Watershed Model Parameter Estimation in Low Data Environments
2021
Watershed Model Parameter Estimation in Low Data Environments
2021Open Access
Watershed Model Parameter Estimation in Low Data Environments
2021· 1 citedOpen Access
Impacts of climate change on terrestrial hydrological components and crop water use in the Chesapeake Bay watershed
Journal of Hydrology Regional Studies·2021· 19 citedOpen Access
A LoRa sensor network for monitoring pastured livestock location and activity1
Translational Animal Science·2021· 44 citedOpen Access
Data in support of the manuscript "Impacts of climate change on terrestrial hydrological components and crop water requirement in the Chesapeake Bay watershed"
OPAL (Open@LaTrobe) (La Trobe University)·2021· 1 citedOpen Access
Data Model Workbenches for Earth Science Information Systems
VTechWorks (Virginia Tech)·2020Open Access
An open-source research tool to study triaxial inertial sensors for monitoring selected behaviors in sheep
Translational Animal Science·2020· 13 citedOpen Access
Seamless Long-Tail and Big Data Access via the EarthCube Brokering Cyberinfrastructure BALTO
2020· 1 citedOpen Access
Comparison of short-term streamflow forecasting using stochastic time series, neural networks, process-based, and Bayesian models
Environmental Modelling & Software·2020· 110 citedOpen Access
page 1 of 6Next →

Frequent Co-authors

Zachary M. Easton(37), Tammo S. Steenhuis(15), Amy S. Collick(15), M. Todd Walter(10), Moges B. Wagena(6), A. Sommerlot(6), Eric White(5), Peter J. A. Kleinman(5), Daniel A. Auerbach(5), Matthew McCartney(4), Seleshi Bekele Awulachew(4), Brian Buchanan(4), Anthony R. Buda(3), Alexander S. Flecker(3), Bárbara Roqueto dos Reis(3), R.R. White(3), Helen E. Dahlke(3), J. A. Archibald(3), Roja K. Garna(3), Joshua W. Faulkner(3)