Dr Angelica Suarez

Senior Research Fellow

School of the Environment

l.suarezcadavid@uq.edu.au

Researcher biography

Angelica is a senior spatial scientist with a strong background in remote sensing and environmental analysis. Her work bridges science and practice, applying spatial technologies to improve land and resource management. She has contributed to research across a wide range of applications — from crop and vegetation monitoring to assessing land use change driven by different sectors.

Her research interests include the evaluation and adoption of remote sensing technologies for crop and vegetation monitoring, tracking native vegetation clearing and regrowth, analysing environmental and production factors that influence crop performance, and developing spatial datasets for yield forecasting, crop phenotyping, and long-term landscape monitoring.

Publications

Book Chapter (1)

Journal Articles (8)

Conference Papers (2)

Book Chapter

Tighe, M., Novais, J. J.M., Demattê, J. A.M., Ravansari, R. and Suarez, L. A. (2025). Sensing and geotechnologies for soil characterization. Unlocking the secrets of soil: applying AI and sensor technologies for sustainable land use. (pp. 203-231) edited by David C. Weindorf, Somsubhra Chakraborty and Bin Li. Amsterdam, Netherlands: Elsevier. doi: 10.1016/b978-0-443-29879-0.00001-0

Journal Articles

Torgbor, Benjamin Adjah, Sinha, Priyakant, Rahman, Muhammad Moshiur, Robson, Andrew, Brinkhoff, James and Suarez, Luz Angelica (2024). Exploring the relationship between very-high-resolution satellite imagery data and fruit count for predicting mango yield at multiple scales. Remote Sensing, 16 (22) 4170, 1-23. doi: 10.3390/rs16224170

Suarez, L. A., Robertson-Dean, M., Brinkhoff, J. and Robson, A. (2024). Forecasting carrot yield with optimal timing of Sentinel 2 image acquisition. Precision Agriculture, 25 (2), 570-588. doi: 10.1007/s11119-023-10083-z

Suarez, Luz Angelica, Robson, Andrew and Brinkhoff, James (2023). Early-season forecasting of citrus block-yield using time series remote sensing and machine learning: A case study in Australian orchards. International Journal of Applied Earth Observation and Geoinformation, 122 103434, 103434. doi: 10.1016/j.jag.2023.103434

Suarez, Luz Angelica, Robson, Andrew, McPhee, John, O'Halloran, Julie and van Sprang, Celia (2020). Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data. Precision Agriculture, 21 (6), 1304-1326. doi: 10.1007/s11119-020-09722-6

Potgieter, Andries B., George-Jaeggli, Barbara, Chapman, Scott C., Laws, Kenneth, Cadavid, Luz A. Suarez, Wixted, Jemima, Watson, James, Eldridge, Mark, Jordan, David R. and Hammer, Graeme L. (2017). Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding lines. Frontiers in Plant Science, 8 1532. doi: 10.3389/fpls.2017.01532

Apan, Armando, Suarez, Luz Angelica, Maraseni, Tek and Castillo, Jose Alan (2017). The rate, extent and spatial predictors of forest loss (2000-2012) in the terrestrial protected areas of the Philippines. Applied Geography, 81, 32-42. doi: 10.1016/j.apgeog.2017.02.007

Suarez, L. A., Apan, A. and Werth, J. (2017). Detection of phenoxy herbicide dosage in cotton crops through the analysis of hyperspectral data. International Journal of Remote Sensing, 38 (23), 6528-6553. doi: 10.1080/01431161.2017.1362128

Suarez, L. A., Apan, A. and Werth, J. (2016). Hyperspectral sensing to detect the impact of herbicide drift on cotton growth and yield. ISPRS Journal of Photogrammetry and Remote Sensing, 120, 65-76. doi: 10.1016/j.isprsjprs.2016.08.004

Conference Papers

Brinkhoff, James, Schultz, Alex, Suarez, Luz Angelica and Robson, Andrew J. (2021). Olive treewater stress detection using daily multispectral imagery. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Electronic Network, 12-16 July 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/igarss47720.2021.9553729

Apan, A., Cadavid, L. A. Suarez, Richardson, L. and Maraseni, T. (2014). Prioritising carbon sequestration areas in southern queensland using time series modis net primary productivity (npp) imagery . ISPRS Technical Commission VIII Symposium, Hyderabad, India, 9-12 December 2014. Gottinge, Germany: Copernicus Gesellschaft MBH. doi: 10.5194/isprsarchives-xl-8-549-2014