Remy Dehaan

Dr Remy Dehaan

Spatial Scientist

Agricultural, Environmental and Veterinary Sciences


Remy's current themes of research include; hyperspectral imagery for mapping weed infestations, multi-temporal time series remote sensing data to examine the effect of stubble burning, examining the effects of vegetation thickening in National Parks over the last 30 years and the use of remote sensing to map vegetation changes connected to river systems to understand changes in geomorphic processes.

He is the Chief Pilot for Charles Sturt University Drone fleet and focuses on utilising drone data to improve decision making in agricultural and environmental areas.

  • Precision Agriculture
  • Remote sensing
  • GIS
Full publications list on CRO

Recent Publications

  • Amarasingam, N., Hamilton, M., Kelly, J. E., Zheng, L., Sandino, J., Gonzalez, F., Dehaan, R. L., & Cherry, H. (2023). Autonomous detection of mouse-ear hawkweed using drones, multispectral imagery and supervised machine learning. Remote Sensing, 15(6), [1633].
  • Zheng, L., Rahaman, M., Hamilton, M. A., Dehaan, R., Gonzalez, F., Kelly, J., & Cherry, H. (Accepted/In press). Remote Tiny Weeds Detection. In Lecture Notes in Computer Science: 10th Pacific-Rim Symposium, PSIVT 2022, Virtual Event, November 12–14, 2022, Proceedings (Vol. 13763).
  • Kelly, J., Rahaman, M., Sandino Mora, J., Zheng, L., Cherry, H., Hamilton, M. A., Dehaan, R., Gonzalez, F., Menz, W., & Grant, L. (2022). Weed managers guide to remote detection: Understanding opportunities and limitations of technologies for remote detection of weeds. In R. Melland, C. Brodie, J. Emms, L. Feuerherdt, S. Ivory, & S. Potter (Eds.), Proceedings of the 22nd Australasian Weeds Conference Adelaide September 2022 (pp. 58-62). Council of Australasian Weed Societies and the Weed Management Society of South Australia Inc.
  • Uddin, S., Oates, A., Aslam, N., Armstrong, D., Pitt, W., Hildebrand, S. M., Dehaan, R., Sandral, G., Fang, Y., McDonald, G. K., Schilling, R., Armstrong, R., & Tavakkoli, E. (2020). Soil amelioration - magnitude of crop productivity improvements on hostile subsoils? In GRDC grains research update (pp. 217-225). Grains Research & Develoment Corporation.
  • Brinkhoff, J., Dunn, B. W., Robson, A. J., Dunn, T. S., & Dehaan, R. L. (2019). Modeling mid-season rice nitrogen uptake using multispectral satellite data. Remote Sensing, 11(15), 1-22. [1837].