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2025 Book Chapter Sensing and geotechnologies for soil characterizationTighe, 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 |
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2024 Journal Article Exploring the relationship between very-high-resolution satellite imagery data and fruit count for predicting mango yield at multiple scalesTorgbor, 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 |
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2024 Journal Article Forecasting carrot yield with optimal timing of Sentinel 2 image acquisitionSuarez, 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 |
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2023 Journal Article Early-season forecasting of citrus block-yield using time series remote sensing and machine learning: A case study in Australian orchardsSuarez, 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 |
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2021 Conference Publication Olive treewater stress detection using daily multispectral imageryBrinkhoff, 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 |
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2020 Journal Article Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral dataSuarez, 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 |
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Featured 2017 Journal Article Multi-spectral imaging from an unmanned aerial vehicle enables the assessment of seasonal leaf area dynamics of sorghum breeding linesPotgieter, 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 |
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2017 Journal Article The rate, extent and spatial predictors of forest loss (2000-2012) in the terrestrial protected areas of the PhilippinesApan, 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 |
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2017 Journal Article Detection of phenoxy herbicide dosage in cotton crops through the analysis of hyperspectral dataSuarez, 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 |
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2016 Journal Article Hyperspectral sensing to detect the impact of herbicide drift on cotton growth and yieldSuarez, 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 |
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2014 Conference Publication Prioritising carbon sequestration areas in southern queensland using time series modis net primary productivity (npp) imagery 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 |
