Edward Beighley

Professor

Northeastern University

United States

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Edward Beighley is a Professor at Northeastern University, based in the United States. His research focuses on remote sensing applications, hydrology, and environmental modeling, with recent publications addressing topics such as satellite imaging for land cover mapping, river discharge evaluations, and flood impact assessments. He also explores innovative solutions for urban water improvement and sediment deposition in floodplain ecosystems.

Edward Beighley

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Articles (21)

Assessing precipitation event characteristics throughout North Carolina derived from GPM IMERG data products

Large floods on the lower Ohio River inferred from slackwater deposits

Using Inundation Extents to Predict Microbial Contamination in Private Wells after Flooding Events

Recursive classification of satellite imaging time-series: An application to land cover mapping

Methodological evaluation of river discharges derived from remote sensing and land surface models

Online fusion of multi-resolution multispectral images with weakly supervised temporal dynamics

Application of floating wetlands for the improvement of degraded urban waters: Findings from three multi-year pilot-scale installations

Assessing the potential for the Surface Water and Ocean Topography (SWOT) mission for constituent flux estimations

Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies

Optimizing Height Above Nearest Drainage parameters to enable rapid flood mapping in North Carolina

Deriving River Discharge Using Remotely Sensed Water Surface Characteristics and Satellite Altimetry in the Mississippi River Basin

Using the Lead and Copper Rule Revisions Five-Sample Approach to Identify Schools with Increased Lead in Drinking Water Risks

A hydraulic modelling approach to study flood sediment deposition in floodplain lakes

Dynamic stormwater management to mitigate phosphorous export

Microbial Contamination of Drinking Water Supplied by Private Wells after Hurricane Harvey

Combining Optical Remote Sensing, McFLI Discharge Estimation, Global Hydrologic Modeling, and Data Assimilation to Improve Daily Discharge Estimates Across an Entire Large Watershed

Leveraging river network topology and regionalization to expand swot-derived river discharge time series in the mississippi river basin

Sensor-based detection of algal blooms for public health advisories and long-term monitoring

The Applicability of SWOT’s Non-Uniform Space–Time Sampling in Hydrologic Model Calibration

Integrating Lateral Inflows Into a SWOT Mission River Discharge Algorithm

Identifying uncertainties in hydrologic fluxes and seasonality from hydrologic model components for climate change impact assessments

Collaborators (7)

Kelsey Pieper

Jacob Hochard

Pau Closas

Pete van Hengstum

John E. Tobiason

Samuel E. Munoz

Charles Jones

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