USING A MICRO-UAV FOR ULTRA-HIGH RESOLUTION MULTI-SENSOR OBSERVATIONS OF ANTARCTIC MOSS BEDS

28 citations as recorded by crossref.

1. Assessing physiological and behavioural impacts of unmanned aerial vehicles on chinstrap penguin chicks: an experimental approach M. Rümmler et al. https://doi.org/10.1017/S0954102025100266
2. The Design of Height Control System of Fully Autonomous UAV Based on ADRC-PID Algorithm Z. Zang et al. https://doi.org/10.1088/1742-6596/1650/3/032136
3. Evaluating pixel and object based image classification techniques for mapping plant invasions from UAV derived aerial imagery: Harrisia pomanensis as a case study M. Mafanya et al. https://doi.org/10.1016/j.isprsjprs.2017.04.009
4. Using UAVs and Machine Learning for Nothofagus alessandrii Species Identification in Mediterranean Forests A. Cabrera-Ariza et al. https://doi.org/10.3390/drones7110668
5. Advancing Sparse Vegetation Monitoring in the Arctic and Antarctic: A Review of Satellite and UAV Remote Sensing, Machine Learning, and Sensor Fusion A. Platel et al. https://doi.org/10.3390/rs17091513
6. Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review Z. Fang & A. Savkin https://doi.org/10.3390/drones8050193
7. Using UAVs for map creation and updating. A case study in Rwanda M. Koeva et al. https://doi.org/10.1080/00396265.2016.1268756
8. The impact of number and spatial distribution of GCPs on the positional accuracy of geospatial products derived from low-cost UASs J. Rangel et al. https://doi.org/10.1080/01431161.2018.1515508
9. Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’ Imagery on Glaciers S. Gindraux et al. https://doi.org/10.3390/rs9020186
10. Onboard cooperative relative positioning system for Micro-UAV swarm based on UWB/Vision/INS fusion through distributed graph optimization C. Xiong et al. https://doi.org/10.1016/j.measurement.2024.114897
11. AERONAVE REMOTAMENTE PILOTADA DE BAIXO CUSTO NO ESTUDO DE PLANTAS INVASORAS EM ÁREAS DE CERRADO D. Pessi et al. https://doi.org/10.31413/nativa.v8i1.8433
12. UAV Platforms for Data Acquisition and Intervention Practices in Forestry: Towards More Intelligent Applications H. Sun et al. https://doi.org/10.3390/aerospace10030317
13. Performance and precision analysis of 3D surface modeling through UAVs: validation and comparison of different photogrammetric data processing software Z. Mora-Félix et al. https://doi.org/10.1088/1402-4896/ad23ab
14. Improving Tree Species Classification Using UAS Multispectral Images and Texture Measures R. Gini et al. https://doi.org/10.3390/ijgi7080315
15. Detection and mapping of Antarctic lichen using drones, multispectral cameras, and supervised deep learning N. Amarasingam et al. https://doi.org/10.1016/j.jag.2025.104577
16. Unmanned aerial systems for photogrammetry and remote sensing: A review I. Colomina & P. Molina https://doi.org/10.1016/j.isprsjprs.2014.02.013
17. Multispectral aerial monitoring of a patchy vegetation oasis composed of different vegetation classes. UAV-based study exploiting spectral reflectance indices P. Váczi & M. Barták https://doi.org/10.5817/CPR2022-1-10
18. Use of Unmanned Aerial Systems for multispectral survey and tree classification: a test in a park area of northern Italy R. Gini et al. https://doi.org/10.5721/EuJRS20144716
19. Structure from motion photogrammetry in ecology: Does the choice of software matter? J. Forsmoo et al. https://doi.org/10.1002/ece3.5443
20. Unmanned Aerial Vehicle (UAV)-Based Assessment of Concrete Bridge Deck Delamination Using Thermal and Visible Camera Sensors: A Preliminary Analysis R. Escobar-Wolf et al. https://doi.org/10.1080/09349847.2017.1304597
21. Control of Microcoaxial Helicopter Based on a Reduced-Order Observer A. Nemati & M. Kumar https://doi.org/10.1061/(ASCE)AS.1943-5525.0000563
22. UAV-Based Aerial Photogrammetry and Remote Sensing Methods for Landslide Monitoring: A Review R. Prajapati & P. Mohanty https://doi.org/10.1007/s13369-025-10948-7
23. Unmanned Aerial Vehicle Remote Sensing for Antarctic Research: A review of progress, current applications, and future use cases Y. Li et al. https://doi.org/10.1109/MGRS.2022.3227056
24. Geospatial Computer Vision Based on Multi-Modal Data—How Valuable Is Shape Information for the Extraction of Semantic Information? M. Weinmann & M. Weinmann https://doi.org/10.3390/rs10010002
25. On‐site geometric calibration of RPAS mounted sensors for SfM photogrammetric geomorphological surveys J. Senn et al. https://doi.org/10.1002/esp.5338
26. GPS precise point positioning for UAV photogrammetry B. Grayson et al. https://doi.org/10.1111/phor.12259
27. The Longest Baseline Record of Vegetation Dynamics in Antarctica Reveals Acute Sensitivity to Water Availability C. Colesie et al. https://doi.org/10.1029/2022EF002823
28. Sensitivity of Adélie and Gentoo penguins to various flight activities of a micro UAV M. Rümmler et al. https://doi.org/10.1007/s00300-018-2385-3