B. G. Peter Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor of Geosciences
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Dr. Brad G. Peter, Assistant Professor of Geosciences at the University of Arkansas, directs the Environmental GIS & Cartography Lab (EGCL). His research agenda focuses on environmental remote sensing, with an emphasis on ecological niche and agricultural system decisions. Dr. Peter's work utilizes spatial analytics and digital cartography to translate empirical data into actionable knowledge. Key areas of investigation include assessing global agricultural land suitability, scaling climate-smart crop varieties, developing sustainable and nutritional farm systems, and employing satellite and sUAS data for multi-scale precision agriculture.
His research has a significant applied component, particularly in Sub-Saharan Africa and Southeast Asia, where he studies sustainable agricultural systems. The EGCL lab is a multidisciplinary environment, bringing together geographers, remote sensing scientists, agronomists, and cartographers, alongside collaborators from fields such as hydrology, entomology, and plant physiology. His scholarly output includes work on flood extent monitoring, urban flood susceptibility mapping, climate extremes resilience, and the application of vegetation indices for crop chlorophyll content estimation. Dr. Peter's academic background includes a Ph.D. in Geography from Michigan State University and a BA in Geography from the University of Texas at Austin, preceded by postdoctoral research at the University of Alabama.
Metrics
- h-index: 16
- Publications: 109
- Citations: 830
Selected Publications
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data (2026) DOI
- Multi-scale spatiotemporal modeling of suspended sediment concentrations across the Upper Mississippi River using AutoML and coupled reflectance and topographic data (2026) DOI
- A multi-source remote sensing-based geocommunication tool for global flood monitoring and management (2025) DOI
- Integrating Multi-Source Remote Sensing and Numerical Simulation Approaches for Enhanced Flood Hazard Assessment (2025) DOI
- Evaluating Earth observation products for Catchment-Scale operational flood monitoring and risk management in a sparsely gauged to ungauged river basin in Nigeria (2025) DOI
- Pollination services to squash insufficient despite abundant specialist bees (2025) DOI
- Global Flood Monitoring and Management Through Multi-Source Geo-Communication Tool (2025) DOI
- An Evaluation of Earth Observation Products for Catchment-Scale Operational Flood Monitoring and Risk Management in Sparsely Gauged to Ungauged River Basin (2024) DOI
- Perspectives on modifiable spatiotemporal unit problems in remote sensing of agriculture: evaluating rice production in Vietnam and tools for analysis (2024) DOI
- Diet specialization mediates drivers of Cucurbita herbivory in a semi-arid agroecosystem (2024) DOI
- Spatial targeting of irrigation development and water resource management to mitigate vector-borne disease (2024) DOI
- Urban flood susceptibility mapping using frequency ratio and multiple decision tree-based machine learning models (2024) DOI
- AGU - Estimating the Hydrologic and Physiographic Characteristics of the Lower Niger River Basin – A 2012 and 2022 Post-Flood Assessment in Nigeria using Globally Available Data (2023) DOI
- A Climate Extremes Resilience Index for the Conterminous United States (2023) DOI
- Habitat Mapping and Spatiotemporal Overlap of the Amazon River Dolphin, Fishers, and Tourism in the Central Region of the Brazilian Amazon (2023) DOI
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