Match tier
Listed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-17
L
Research Areas
Biography and Research Information
OverviewAI-generated summary
Laura Suzanne Ruhl-Whittle's research focuses on the multi-scale spatiotemporal modeling of suspended sediment concentrations, particularly within the Upper Mississippi River. Her work utilizes advanced techniques such as AutoML, coupled with reflectance and topographic data, to understand these complex environmental processes. She also investigates connections between the natural environment and human health, exploring topics like kidney stones and mineral crusts. Ruhl-Whittle collaborates with B. G. Peter and Sahar Rezaei at the University of Arkansas at Fayetteville, with whom she has co-authored two publications. Her scholarly output includes a total of two publications, with her most recent work published in 2026.
Metrics
- Publications: 2
Selected Publications
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Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data (2026)
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Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data (2026)
Collaboration Network
Top Collaborators
Sahar Rezaei
University of Arkansas at Fayetteville
2 shared publications
In database
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Josh Weiss
2 shared publications
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Danelle M. Larson
2 shared publications
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Brad G. Peter
University of Arkansas at Fayetteville
1 shared publication
In database
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
Bradley George Peter
University of Arkansas at Fayetteville
1 shared publication
In database
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data
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