Research Profiles
- ORCID:
https://orcid.org/0000-0002-6780-2425 - Google Scholar: https://scholar.google.com/citations?user=K6Vw3bYAAAAJ&hl=en
- Semantic Scholar: https://www.semanticscholar.org/author/Juan-Sandino/40385298
- ResearchGate: https://www.researchgate.net/profile/Juan_Sandino
- QUT print: https://eprints.qut.edu.au/view/person/Sandino,_Juan.html
- Scopus: https://www.scopus.com/authid/detail.uri?authorId=57202714779
📊 Citation Metrics
848
Total Citations
14
h-index
17
i10-index
Last updated: December 06, 2025 at 04:55 PM
📌 PINNED
2025
Revolutionising Antarctic Flora Monitoring with AI and Drones
J. Sandino, J. Barthelemy, A. Doshi, K. Randall, S. A. Robinson, B. Bollard, and F. Gonzalez in NVIDIA GTC 2025 , San Jose, CA, US , Mar. 2025. [Accepted]
📌 PINNED
2023
A green fingerprint of Antarctica: Drones, hyperspectral imaging, and machine learning for moss and lichen classification
J. Sandino, B. Bollard, A. Doshi, K. Randall, J. Barthelemy, S. A. Robinson, and F. Gonzalez Remote sensing , vol. 15, no. 24 , pp. 5658 , Dec. 2023. doi: 10.3390/rs15245658
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📌 PINNED
2022
Reducing Object Detection Uncertainty from RGB and Thermal Data for UAV Outdoor Surveillance
J. Sandino, P. A. Caccetta, C. Sanderson, F. Maire, and F. Gonzalez in 2022 IEEE Aerospace Conference (AERO) , pp. 1–16 , Mar. 2022. doi: 10.1109/AERO53065.2022.9843611
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📌 PINNED
2021
Drone-Based Autonomous Motion Planning System for Outdoor Environments under Object Detection Uncertainty
J. Sandino, F. Maire, P. Caccetta, C. Sanderson, and F. Gonzalez Remote Sensing , vol. 13, no. 21 , pp. 4481 , Nov. 2021. doi: 10.3390/rs13214481
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2025
Advancing real-time aerial wildfire detection through plume recognition and knowledge distillation
P. Keerthinathan, J. Sandino, S. Mahendren, A. Uthayasooriyan, J. Galvez, G. Hamilton, and F. Gonzalez Drones , vol. 9, no. 12 , pp. 827 , Nov. 2025. doi: 10.3390/drones9120827
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2025
Drone hyperspectral imaging and artificial intelligence for monitoring moss and lichen in Antarctica
J. Sandino, J. Barthelemy, A. Doshi, K. Randall, S. A. Robinson, B. Bollard, and F. Gonzalez Scientific reports , vol. 15, no. 1 , pp. 27244 , Jul. 2025. doi: 10.1038/s41598-025-11535-4
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2025
Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning
N. Amarasingam, J. Sandino, A. Doshi, D. King, E. Blackman, J. Barthelemy, B. Bollard, S. A. Robinson, and F. Gonzalez Int. J. Applied Earth Observation and Geoinformation , vol. 141, no. 104577 , pp. 104577 , Jul. 2025. doi: 10.1016/j.jag.2025.104577
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2025
DECK-GA: A hybrid clustering and distance efficient genetic algorithm for scalable multi-UAV path planning
D. Debnath, F. Vanegas, J. Sandino, and F. Gonzalez in 2025 International Conference on Unmanned Aircraft Systems (ICUAS) , Charlotte, NC, USA , pp. 301–308 , May 2025. doi: 10.1109/icuas65942.2025.11007785
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2025
Advancing sparse vegetation monitoring in the arctic and antarctic: A review of satellite and UAV remote sensing, machine learning, and sensor fusion
A. Platel, J. Sandino, J. Shaw, B. Bollard, and F. Gonzalez Remote sensing , vol. 17, no. 9 , pp. 1513 , Apr. 2025. doi: 10.3390/rs17091513
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2025
Mapping of insect pest infestation for precision agriculture: A UAV-based multispectral imaging and deep learning techniques
N. Amarasingam, K. Powell, J. Sandino, D. Bratanov, A. S. Ashan Salgadoe, and F. Gonzalez Int. J. Applied Earth Observation and Geoinformation , vol. 137, no. 104413 , pp. 104413 , Mar. 2025. doi: 10.1016/j.jag.2025.104413
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2025
Unmanned Aerial Vehicles for real-time vegetation monitoring in Antarctica: A review
K. Lockhart, J. Sandino, N. Amarasingam, R. Hann, B. Bollard, and F. Gonzalez Remote sensing , vol. 17, no. 2 , pp. 304 , Jan. 2025. doi: 10.3390/rs17020304
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2024
QUT Vice Chancellor’s Awards, Research and Innovation Excellence Award: “High Tech for Low Temperatures Team – Drones and AI for Conservation in Antarctica”
J. Sandino, N. Amarasingam, D. Bratanov, G. Broadbent, D. Gilligan, F. Gonzalez, J. Shaw, J. Galvez, and M. Swan , Dec. 2024.
2024
Remote Sensing Science in Antarctica and Sub-Antarctic Islands using Drones, Satellite, and AI: From Data Acquisition to Management/Policy
J. Sandino, B. Bollard, J. Shaw, F. Gonzalez, and S. A. Robinson in Australian Antarctic Research Conference , Hobart, Australia , Nov. 2024.
2024
A review of UAV path-planning algorithms and obstacle avoidance methods for remote sensing applications
D. Debnath, F. Vanegas, J. Sandino, A. F. Hawary, and F. Gonzalez Remote sensing , vol. 16, no. 21 , pp. 4019 , Oct. 2024. doi: 10.3390/rs16214019
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2024
Heatwaves and rapid freezing: does micro-topography influence how often Antarctic mosses exceed temperature thresholds?
K. Randall, X. Zheng, J. Sandino, and S. A. Robinson in 11th SCAR Open Science Conference , Pucon, Chile , Aug. 2024.
2024
Optimising UAS protocols for Vegetation Monitoring in Antarctica: Key Insights and Case Studies from the Windmill Islands, and Bunger Hills
J. Sandino, M. Swan, J. Galvez-Serna, N. Amarasingam, A. Doshi, K. Randall, S. A. Robinson, B. Bollard, and F. Gonzalez in 11th SCAR Open Science Conference , Pucon, Chile , Aug. 2024.
2024
Bitou bush detection and mapping using UAV-based multispectral and hyperspectral imagery and artificial intelligence
N. Amarasingam, J. E Kelly, J. Sandino, M. Hamilton, F. Gonzalez, R. L Dehaan, L. Zheng, and H. Cherry Remote Sensing Applications Society and Environment , vol. 34, no. 101151 , pp. 101151 , Apr. 2024. doi: 10.1016/j.rsase.2024.101151
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2024
Monitoring of Antarctica’s fragile vegetation using drone-based remote sensing, multispectral imagery and AI
D. Raniga, N. Amarasingam, J. Sandino, A. Doshi, J. Barthelemy, K. Randall, S. A. Robinson, F. Gonzalez, and B. Bollard Sensors (Basel, Switzerland) , vol. 24, no. 4 , pp. 1063 , Feb. 2024. doi: 10.3390/s24041063
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2023
Enhancing antarctic conservation with advanced remote sensing and machine learning techniques for ASPA scale mapping and monitoring
J. Sandino, B. Bollard, A. Doshi, J. Barthelemy, and F. Gonzalez in XIII SCAR Biology Symposium 2023 , Pucon, Chile , Jul. 2023. [In Press]
2023
Autonomous Detection of Mouse-Ear Hawkweed Using Drones, Multispectral Imagery and Supervised Machine Learning
N. Amarasingam, M. Hamilton, J. E. Kelly, L. Zheng, J. Sandino, F. Gonzalez, R. L. Dehaan, and H. Cherry Remote Sensing , vol. 15, no. 6 , pp. 1633 , Mar. 2023. doi: 10.3390/rs15061633
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2022
Detection of white leaf disease in sugarcane crops using UAV-derived RGB imagery with existing deep learning models
N. Amarasingam, F. Gonzalez, A. S. A. Salgadoe, J. Sandino, and K. Powell Remote sensing , vol. 14, no. 23 , pp. 6137 , Dec. 2022. doi: 10.3390/rs14236137
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2022
UAV4PE: An Open-Source Framework to Plan UAV Autonomous Missions for Planetary Exploration
J. Galvez-Serna, F. Vanegas, S. Brar, J. Sandino, D. Flannery, and F. Gonzalez Drones , vol. 6, no. 12 , pp. 391 , Dec. 2022. doi: 10.3390/drones6120391
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2022
Detection of Parthenium weed (Parthenium hysterophorus L.) and its growth stages using artificial intelligence
B. Costello, O. O. Osunkoya, J. Sandino, W. Marinic, P. Trotter, B. Shi, F. Gonzalez, and K. Dhileepan Collection FAO: Agriculture , vol. 12, no. 11 , pp. 1838 , Nov. 2022. doi: 10.3390/agriculture12111838
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2022
Weed managers guide to remote detection: Understanding opportunities and limitations of technologies for remote detection of weeds
J. Kelly, M. Rahaman, J. Sandino, L. Zheng, H. Cherry, M. A. Hamilton, R. Dehaan, F. Gonzalez, W. Menz, and L. Grant in 22nd Australasian Weeds Conference , Adelaide, Australia , pp. 58–62 , Sep. 2022.
2022
Autonomous decision-making for UAVs operating under environmental and object detection uncertainty
J. Sandino , Jun. 2022. doi: 10.5204/thesis.eprints.232513
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2022
Design and Flight Testing of a Two DOF Decoupled Pantograph Aerial Manipulator for Commercial UAVs
C. Luxton, J. Sandino, F. Vanegas, and F. Gonzalez in 2022 International Conference on Unmanned Aircraft Systems (ICUAS) , pp. 1–10 , Jun. 2022. doi: 10.1109/ICUAS54217.2022.9836224
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2022
Design and Flight Test of an Aerial Manipulator for Applications in GPS-Denied Environments
M. Ng, F. Vanegas, K. Morton, J. Sandino, and F. Gonzalez in 2022 International Conference on Unmanned Aircraft Systems (ICUAS) , pp. 20–29 , Jun. 2022. doi: 10.1109/ICUAS54217.2022.9836060
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2022
Real-time Segmentation of Desiccation Cracks onboard UAVs for Planetary Exploration
J. Galvez-Serna, N. Mandel, J. Sandino, F. Vanegas, N. Ly, D. T. Flannery, and F. Gonzalez in 2022 IEEE Aerospace Conference (AERO) , Big Sky, MT, USA , pp. 1–12 , Mar. 2022. doi: 10.1109/AERO53065.2022.9843515
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2022
Resolution-adaptive Quadtrees for Semantic Segmentation Mapping in UAV Applications
N. Mandel, J. Sandino, J. Galvez-Serna, F. Vanegas, M. Milford, and F. Gonzalez in 2022 IEEE Aerospace Conference (AERO) , Big Sky, MT, USA , pp. 1–17 , Mar. 2022. doi: 10.1109/AERO53065.2022.9843498
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2022
Autonomous Mapping of Desiccation Cracks via a Probabilistic-based Motion Planner Onboard UAVs
J. Sandino, J. Galvez–Serna, N. Mandel, F. Vanegas, and F. Gonzalez in 2022 IEEE Aerospace Conference (AERO) , Big Sky, MT, USA , pp. 1–14 , Mar. 2022. doi: 10.1109/AERO53065.2022.9843299
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2020
Autonomous UAV navigation for active perception of targets in uncertain and cluttered environments
J. Sandino, F. Vanegas, F. Gonzalez, and F. Maire in IEEE Aerospace Conference , Big Sky, United States , pp. 1–12 , Mar. 2020. doi: 10.1109/AERO47225.2020.9172808
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2020
UAV framework for autonomous onboard navigation and people/object detection in cluttered indoor environments
J. Sandino, F. Vanegas, F. Maire, P. Caccetta, and others Remote Sensing , 2020.
2018
A novel approach for invasive weeds and vegetation surveys using UAS and artificial intelligence
J. Sandino, and F. Gonzalez in Proceedings of the 2018 23rd International Conference on Methods and Models in Automation and Robotics (MMAR 2018) , pp. 515–520 , Oct. 2018. doi: 10.1109/MMAR.2018.8485874
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2018
Phylloxera: Improving pest surveillance in vineyards through drones, hyperspectral and spatial data
F. Vanegas, D. Bratanov, J. Sandino, K. Powell, J. Weiss, and F. Gonzalez Wine \& Viticulture Journal , vol. 33, no. 4 , pp. 42–52 , Sep. 2018.
2018
Aerial mapping of forests affected by pathogens using UAVs, hyperspectral sensors, and artificial intelligence
J. Sandino, G. Pegg, F. Gonzalez, and G. Smith Sensors , vol. 18, no. 4 , pp. 944 , Mar. 2018. doi: 10.3390/s18040944
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2018
UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands
J. Sandino, F. Gonzalez, K. Mengersen, and K. J. Gaston Sensors , vol. 18, no. 2 , pp. 605 , Feb. 2018. doi: 10.3390/s18020605
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2018
Revolutionising the detection and mapping of exotic weeds using UASs and machine learning
J. Sandino, S. Harris, P. Trotter, A. Shukla, and F. Gonzalez in International Master Class in Plant Biosecurity , Jan. 2018.
2018
Optimising surveillance protocols using unmanned aerial systems
B. McCornack, G. P. Bhattarai, T. Witt, F. Gonzalez, G. Hamilton, F. Vanegas, J. Froese, J. Sandino, J. Weiss, and G. Pegg , pp. 25 , 2018.
2017
Prediction of reproductive system affectation in Sprague Dawley rats by food intake exposed with Fenthion, using Naïve Bayes classifier and genetic algorithms
J. Sandino, D. Amaya Hurtado, and O. Lucia Ramos Biosciences, biotechnology research Asia , vol. 14, no. 4 , pp. 1291–1297 , Dec. 2017. doi: 10.13005/bbra/2572
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2017
UAS remote sensing efforts for Myrtle rust management
F. Vanegas, G. Pegg, J. Kok, J. Sandino, and F. Gonzalez in Science Protecting Plant Health 2017 , Sep. 2017.
2017
Towards the Automatic Detection of Pre-Existing Termite Mounds through UAS and Hyperspectral Imagery
J. Sandino, A. Wooler, and F. Gonzalez Sensors , vol. 17, no. 10 , pp. 2196 , Sep. 2017. doi: 10.3390/s17102196
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2017
Bitou bush surveillance UAV trial
S. Harris, P. Trotter, F. Gonzalez, and others 14th Queensland Weed , 2017.
2016
Prediction of Endocrine System Affectation in Fisher 344 Rats by Food Intake Exposed with Malathion, Applying Naïve Bayes Classifier and Genetic Algorithms
J. Sandino, D. A. Hurtado, and O. L. R. Sandoval Int. J. preventive medicine , vol. 7, no. 1 , pp. 111 , Sep. 2016. doi: 10.4103/2008-7802.190611
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2016
Method for estimating leaf coverage in strawberry plants using digital image processing
J. Sandino, O. L. Ramos-Sandoval, and D. Amaya-Hurtado Revista Brasileira de Engenharia Agricola e Ambiental/Brazilian Journal of Agricultural and Environmental Engineering , vol. 20, no. 8 , pp. 716–721 , Aug. 2016. doi: 10.1590/1807-1929/agriambi.v20n8p716-721
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2016
Monitoreo Preliminar de Incidencia de Fisiopatías en Cultivos de Fresa usando Procesamiento Digital de Imágenes
J. Sandino, D. Amaya Hurtado, and O. L. Ramos Sandoval Biotecnología en el Sector Agropecuario y Agroindustrial , vol. 14, no. 1 , pp. 45–52 , 2016. doi: 10.18684/BSAA(14)45-52
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2015
Método preliminar de detección de patógenos biológicos en cultivos de fresa por medio del procesamiento digital de imágenes (Preliminary method of detection of …
D. Amaya-Hurtado, and J. Sandino Revista de Investigación Agraria y , 2015.
2014
Desarrollo de proyectos en monitoreo de cultivos agrícolas a través de la visión de máquina
J. Sandino , Dec. 2014.