Collaborations

The Hydrology and Remote Sensing Laboratory has a long and productive history of collaborative research involving stakeholders.

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Current collaborators and projects:

AGENCIA ESTATAL CONSEJO SUPERIOR DE INVESTIGA

Advances in Remote Sensing of Evapotranspiration for Agronomic Mgmt and Irrigation Scheduling for Mitigating the Impacts of Droughts and Heat Waves

CALIFORNIA INSTITUTE OF TECHNOLOGY, PASADENA, CA

ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS)

COLORADO STATE UNIVERSITY, FORT COLLINS, CO

Modeling Pollutants in Agroecosystems and Surrounding Landscapes

E. & J. GALLO WINERY, MODESTO, CA

Ground-based Evapotranspiration Observations in Support of Remote Sensing-based ET toolkit for Improved Irrigation Management in Vineyards

FARM SERVICE AGENCY, WASHINGTON, DC

Pollinator Ecosystem Services Assessment Project Project

GEORGE MASON UNIVERSITY, FAIRFAX, VA

Developing Remote Sensing Metrics of Ecosystem Health for Grazing Management

NASA/GODDARD SPACE FLIGHT CENTER, GREENBELT, MD

Using SMAP Soil Moisture Products to Improve Streamflow Forecasting in Ungauged Basins

Improving, Evaluating and Extending High Resolution Cropland Carbon Monitoring System (CCMS)

NATIONAL AERONAUTICS AND SPACE ADMINISTRATION, WASHINGTON, DC

Monitoring Changes in Carbon Budgets: Chesapeake Bay Watershed Caused by Agricultural Conservation through Integrating Remote Sensing Data/Modeling

Application of Remote Sensing and Land Data Assimilation for High-Resolution, Root-Zone Soil Moisture Monitoring within Almond Orchards...

NATURAL RESOURCES CONSERVATION SERVICE, WASHINGTON, NE

CEAP Wetlands Mid-Atlantic Coastal Plain Regional Study

Optimizing On-Farm Nutrient Cycling, Capture, and Removal Associated with Cultivation of the Perennial Grass Crop Miscanthus x giganteus

Watershed Legacy N – Source Determination and Influencing Factor Assessment

CEAP/Harmful Algal Blooms Buffer Evaluation and Legacy Nutrients

CEAP Wetlands Mid-Atlantic Coastal Plain Regional Study

The Mid-Atlantic Wetland Conservation Effects Assessment Project

CEAP Wetlands Mid-Atlantic Coastal Plain Regional Study

NOBLE RESEARCH INSTITUTE LLC, ARDMORE, OK

Metrics, Management, and Monitoring: An Investigation of Rangeland and Pasture Soil Health and its Drivers

OHIO STATE UNIVERSITY, THE, COLUMBUS, OH

Estimating Soybean Pollination Services from CRP and other Conservation Lands Assessment Project

Enhancing the SWAT Model for Evapotranspiration Simulation

OKLAHOMA STATE UNIVERSITY, STILLWATER, OK

Calibration and Validation of In Situ Soil Moisture Sensors at Marena Oklahoma

RESEARCH FOUNDATION FOR THE STATE UNIVERSITY, ALBANY

Quantifying Life Cycle Impacts of Agricultural Systems with Winter Cover Crops

TEXAS STATE UNIVERSITY, SAN MARCOS, TX

Sub-field crop yield prediction using satellite remote sensing and machine learning

THE PENNSYLVANIA STATE UNIVERSITY, UNIVERSITY PARK, PA

Using MESA as a Tool to Elucidate Wetland N Fluxes in Agricultural Landscapes

Remote Detection and Functional Assessments for Wetlands

UNIVERSITY OF CONNECTICUT, STORRS, CT

Developing a Deep Learning-Based Framework for Root-Zone Soil Moisture Time Series Reconstruction

UNIVERSITY OF MARYLAND, COLLEGE PARK, COLLEGE PARK, MD

Utilizing Sustainable Remediation Technologies to Reduce Bioavailability and Transport of Chlorinated Organic Compounds

Measuring, Modeling, and Mitigating Pollutants in Agroecosystems and Surrounding Landscapes

Assessing Legacy P Fate on the Delmarva

Modeling Watershed Processes for Assessing Ecosystem Services Provided by Restored Wetlands

Watershed Legacy N – Source Determination and Influencing Factor Assessment

Modeling Watershed Processes for Assessing Wetland Ecosystem Services

Assessing Legacy P Fate on the Delmarva

UNIVERSITY SYSTEM OF NEW HAMPSHIRE, DURHAM

Examining Cold-Season Processes Over Agricultural Lands Using Radar Data

UTAH STATE UNIVERSITY, LOGAN, UT

Accurate Estimation of Crop Transpiration in Orchards and Vineyards using UAV and Satellite Technologies

Using drone and AI to map Leaf water potential and stem water potential for water stress management in commercial vineyards