Biography

Dr. Amr Abd-Elrahman

School of Forest Resources and Conservation - Geomatics

University of Florida, USA

Associate Professor


Email: [email protected]


Qualifications

2001 Ph.D., University of Florida, Gainesville, Civil Engineering - Geomatics

1995 M.Sc., Ain Shams University, Cairo, Egypt, Civil Engineering (Digital Mapping)

1990 B.Sc., Ain Shams University, Cairo, Egypt, Civil Engineering


Publications (selected)

  1. Akinade, B. A., Wilkinson, B., & Amanambu, A. C., et al. (2026). Multiplatform approach to forest inventory from laser scanning and MLS collection optimization. Journal of Surveying Engineering, 152(3), Article 05026003.
  2. Malligai, M. A., Abd-Elrahman, A., & Leary, J. K. (2025). A new Sentinel-2 spectral index for mapping Hydrilla verticillata in shallow freshwater lakes in Florida, USA. Remote Sensing, 17(11), Article 1894.
  3. Lone, J. M., Agehara, S., & Abd-Elrahman, A. (2024). Intermittent sprinkler irrigation during the establishment of strawberry (Fragaria x ananassa Duch.) bare-root transplants conserves water without loss of yield and fruit quality. Agricultural Water Management, 306, Article 109169.
  4. Zheng, C., Abd-Elrahman, A., & Whitaker, V. M., et al. (2024). Strawberry canopy structural parameters estimation and growth analysis from UAV multispectral imagery using a geospatial tool. Computers and Electronics in Agriculture, 226, Article 109440.
  5. Hira, N. E., Siddiqui, M. T., & Abd-Elrahman, A., et al. (2024). RETRACTED: Spatio-temporal monitoring of forest cover change, triggered by anthropogenic activities, in the Himalayan moist temperate forests of Pakistan using Landsat imagery (Retracted article. See APR, 2025). Journal of Spatial Science.
  6. Panthi, B. R., Renkema, J. M., & Lahiri, S., et al. (2024). Delayed spinetoram application is useful in managing Scirtothrips dorsalis Hood (Thysanoptera: Thripidae) in Florida strawberry. Journal of Economic Entomology, 117(2), 585–594.
  7. Mudiyanselage, S. D., Wilkinson, B., & Abd-Elrahman, A. (2024). Automated high-resolution bathymetry from Sentinel-1 SAR images in deeper nearshore coastal waters in Eastern Florida. Remote Sensing, 16(1), Article 1.
  8. Lone, J. M., Agehara, S., & Abd-Elrahman, A. (2023). Establishment of bare-root strawberry transplants using intermittent sprinkler irrigation conserves water without yield loss. HortScience, 58(9), S221–S222.
  9. Zheng, C., Liu, T., & Abd-Elrahman, A., et al. (2023). Object-detection from multi-view remote sensing images: A case study of fruit and flower detection and counting on a central Florida strawberry farm. International Journal of Applied Earth Observation and Geoinformation, 123, Article 103457.
  10. Xu, Y., Tan, Y., & Abd-Elrahman, A., et al. (2023). Incorporation of fused remote sensing imagery to enhance soil organic carbon spatial prediction in an agricultural area in Yellow River Basin, China. Remote Sensing, 15(8), Article 2017.
  11. Mudiyanselage, S. S. J. D., Abd-Elrahman, A., & Wilkinson, B., et al. (2022). Satellite-derived bathymetry using machine learning and optimal Sentinel-2 imagery in South-West Florida coastal waters. GIScience & Remote Sensing, 59(1), 1143–1158.
  12. Dalid, C., Osorio, L., & Verma, S., et al. (2022). Genetic analysis of predicted vegetative biomass derived from high-resolution imagery in cultivated strawberry. HortScience, 57(9), S179.
  13. Kelly, C., Wilkinson, B., & Abd-Elrahman, A., et al. (2022). Accuracy assessment of low-cost lidar scanners: An analysis of the Velodyne HDL-32E and Livox Mid-40′s temporal stability. Remote Sensing, 14(17), Article 4220.
  14. Zheng, C., Abd-Elrahman, A., & Whitaker, V., et al. (2022). Prediction of strawberry dry biomass from UAV multispectral imagery using multiple machine learning methods. Remote Sensing, 14(18), Article 4511.
  15. Gonzalez-Perez, A., Abd-Elrahman, A., & Wilkinson, B., et al. (2022). Deep and machine learning image classification of coastal wetlands using unpiloted aircraft system multispectral images and lidar datasets. Remote Sensing, 14(16), Article 3937.
  16. Kaddoura, Y. O., Wilkinson, B., & Merrick, T., et al. (2022). Georeferencing oblique PhenoCam imagery. ISPRS Journal of Photogrammetry and Remote Sensing, 190, 301–321.
  17. Tapia, R., Abd-Elrahman, A., & Osorio, L., et al. (2022). Combining canopy reflectance spectrometry and genome-wide prediction to increase response to selection for powdery mildew resistance in cultivated strawberry. Journal of Experimental Botany, 73(15), 5322–5335.
  18. Salisbury, A. B., Koeser, A. K., & Hauer, R. J., et al. (2022). The legacy of hurricanes, historic land cover, and municipal ordinances on urban tree canopy in Florida (United States). Frontiers in Forests and Global Change, 5, Article 742157.
  19. Guan, Z., Abd-Elrahman, A., & Whitaker, V., et al. (2022). Radiative transfer image simulation using L-system modeled strawberry canopies. Remote Sensing, 14(3), Article 548.
  20. Zheng, C., Abd-Elrahman, A., & Whitaker, V. M., et al. (2022). Deep learning for strawberry canopy delineation and biomass prediction from high-resolution images. Plant Phenomics, 2022, Article 9850486.


Profile Details

https://ffgs.ifas.ufl.edu/faculty/abd-elrahman-amr/
https://scholar.google.com/citations?user=GO7uAz8AAAAJ&hl=en
https://www.researchgate.net/profile/Amr-Abd-Elrahman

WOS ResearcherID: H-5219-2017

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