Ryan Smith

Has grant

Assistant Professor

Colorado State University

United States

Research Interests

Explore related searches

Professors in United States Professors in Geology Geology professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Ryan Smith is an Assistant Professor at Colorado State University in the United States. His research focuses on hydrology, land subsidence, and the impacts of climate on groundwater systems, as reflected in his recent articles. He employs remote sensing and machine learning techniques to advance understanding of groundwater withdrawal and aquifer stress in both semi-arid regions and specific case studies throughout the western USA.

Recent Grants

Grant: Close

Predicting hydraulic properties using InSAR and geologic models

Open Date: 2015-01-01

Close Date: 2018-01-01

Articles (12)

Year:

2025

Year:

2025

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (3)

Sayantan Majumdar

Assistant Research Professor

Desert Research Institute

UNITED STATES

View details

Bryan Hopkins

Professor

Brigham Young University

UNITED STATES

View details

Jim Butler

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ryan Smith

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (12)

Estimation of Coupled Ocean/Atmosphere Impacts to the Satellite Detection of Nocturnal Maritime Low Clouds

How quickly does elastic deformation respond to seasonal changes in hydraulic head? Insights from modeling and field data in the western USA

Estimating Aquifer System Storage Loss With Water Levels, Pumping and InSAR Data in the Parowan Valley, Utah

Analyzing spatio-temporal mechanisms of land subsidence in the Parowan Valley, Utah, USA

Stream-Aquifer Systems in Semi-Arid Regions: Hydrologic, Legal, and Management Issues

Aquifer Stress History Contributes to Historic Shift in Subsidence in the San Joaquin Valley, California

Advancing remote sensing and machine learning‐driven frameworks for groundwater withdrawal estimation in Arizona: Linking land subsidence to groundwater withdrawals

Remote Sensing of Groundwater: Current Capabilities and Future Directions

Development and Application of a 1D Compaction Model to Understand 65 Years of Subsidence in the San Joaquin Valley

A new approach for estimating and delineating within-field crop water stress zones with satellite imagery

Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets and Machine Learning

Groundwater Storage Loss Associated With Land Subsidence in Western United States Mapped Using Machine Learning

Collaborators (3)

Sayantan Majumdar

Bryan Hopkins

Jim Butler

Make your next move.