Malcolm Williamson Data-verified
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Research Scientist
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Biography and Research Information
OverviewAI-generated summary
Malcolm Williamson is a research scientist at the University of Arkansas at Fayetteville. His scholarly work includes 68 publications with 428 citations and an h-index of 7. Williamson's research focuses on the application of remote sensing technologies, particularly unmanned aerial systems (UAS) photogrammetry, for environmental and archaeological studies. His recent publications investigate the utility of UAS photogrammetry and thermal sensors for identifying and understanding agricultural practices, such as gravel mulch fields, and the influence of soil heterogeneity on crop development using time-series imagery. He has also explored the challenges and limitations of geospatial data in contexts like the COVID-19 pandemic and examined the practical implementation of UAS for field sciences, including object avoidance and 3D flight planning. Williamson collaborates with several researchers at the University of Arkansas at Fayetteville, including Jackson Cothren and Carla E. Klehm, with whom he shares multiple publications.
Metrics
- h-index: 7
- Publications: 67
- Citations: 430
Selected Publications
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Utility of UAS Photogrammetry and Thermal Sensors for Identifying Locations and Understanding Functions of Puebloan Gravel Mulch Fields in Northern New Mexico (2024)
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Remote, Rugged Field Scenarios for Archaeology and the Field Sciences: Object Avoidance and 3D Flight Planning with sUAS Photogrammetry (2024)
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Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19 (2021)
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Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery (2021)
Collaboration Network
Top Collaborators
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19
- Remote, Rugged Field Scenarios for Archaeology and the Field Sciences: Object Avoidance and 3D Flight Planning with sUAS Photogrammetry
- Utility of UAS Photogrammetry and Thermal Sensors for Identifying Locations and Understanding Functions of Puebloan Gravel Mulch Fields in Northern New Mexico
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Influence of soil heterogeneity on soybean plant development and crop yield evaluated using time-series of UAV and ground-based geophysical imagery
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19
- Challenges and Limitations of Geospatial Data and Analyses in the Context of COVID-19
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