Publications

 Peer reviewed journal papers

  1. Wallace, L., Lucieer, A., Malenovský, Z., Turner, D., Vopěnka, P. (2016). Assessment of forest structure using two UAV techniques: a comparison of airborne laser scanning and structure from motion (SfM) point clouds. Forests, 7(62), doi:10.3390/f7030062. Download.
  2. Williams, G.D., Fraser, A.D., Lucieer, A., Turner, D., Cougnon, E., Kimball, P., Toyota, T., Maksym, T., Singh, H., Nitsche, F., and Paget, M. (2016), Drones in a cold climate, Eos, 97, doi:10.1029/2016EO043673. Download.
  3. Harwin, S., Lucieer, A., and Osborn, J. (2015). The Impact of Calibration Method on The Accuracy of Points Clouds Derived Using Unmanned Aerial Vehicle Structure-from-Motion (UAV-SfM). Remote Sensing, 7(9), 11933-11953; doi:10.3390/rs70911933. Download.
  4. Jaskierniak, D., Kuczera, G., Benyon, R., and Lucieer, A. (2015). Estimating tree and stand sapwood area in spatially heterogenous southeastern Australian forests. Plant Ecology. doi: 10.1093/jpe/rtv056. Download.
  5. Vander Jagt, B., Lucieer, A., Wallace, L., Turner, D., and Durand, M. (2015). Snow Depth Retrieval with mUAS using photogrammetric techniques. Geosciences, 5(3), 264-285; doi:10.3390/geosciences5030264, Download. 
  6. Malenovský, Z., Turnbull, J., Lucieer A., Robinson S.A., (2015). Antarctic moss stress assessment based on chlorophyll, water content, and leaf density retrieved from imaging spectroscopy data. New Phytologist, 208(2): 608 – 624. Download.
  7. Turner, D., Lucieer, A., and de Jong, S.M. (2015). Time series analysis of landslide dynamics using an unmanned aerial vehicle (UAV). Remote Sensing. 7(2): 1736 – 1757; doi:10.3390/rs70201736. Download.
  8. Turner, D., Lucieer, A., and Malenovsky, Z., King, D., and Robinson, S. (2014). Spatial co-registration of ultra-high resolution visible, multispectral and thermal images acquired with Micro-UAV over Antarctic moss beds. Remote Sensing. 6(5): 4003-4024; doi:10.3390/rs6054003. Download
  9. Wallace, L., Lucieer, A., and Watson, C. (2014). Evaluating tree detection and segmentation routines on very high resolution UAV LiDAR data. IEEE Transactions on Geoscience and Remote Sensing, 52(12): 7619-7628. doi:10.1109/TGRS.2014.2315649. Download
  10. Wallace, L., Musk, R., and Lucieer, A. (2014). An assessment of the repeatability of automatic forest inventory metrics derived from UAV-borne laser scanning data. IEEE Transaction on Geoscience and Remote Sensing, 52 (11), 7160-7169. doi: 10.1109/TGRS.2014.2308208. Download
  11. Lucieer, A., Malenovsky, Z., Veness, T., Wallace, L. (2014). HyperUAS – Imaging spectroscopy from a multi-rotor unmanned aircraft system. Journal of Field Robotics. 31(4): 571-590. doi: 10.1002/rob.21508. Download
  12. Wallace, L., Lucieer, A., and Watson, C. (2014). Detecting pruning of individual stems using Airborne Laser Scanning data captured from an Unmanned Aerial Vehicle. International Journal of Applied Earth Observation and Geoinformation 30:76-85. doi:10.1016/j.jag.2014.01.010. Download
  13. Lucieer, A., de Jong, S.M., and Turner, D. (2014). Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Progress in Physical Geography 38(1): 97-116. doi:10.1177/0309133313515293. Download
  14. Lucieer, A., Turner, D., King, D.H., and Robinson, S.A. (2014). Using an Unmanned Aerial Vehicle (UAV) to capture micro-topography of Antarctic moss beds. International Journal of Applied Earth Observation and Geoinformation, 27(Part A) pp. 53-62. doi:10.1016/j.jag.2013.05.011. Download
  15. Turner, D., Lucieer, A., and Wallace, L. (in press). Direct georeferencing of ultra-high resolution UAV imagery. IEEE Transaction on Geoscience and Remote Sensing. doi:10.1109/TGRS.2013.2265295. Download
  16. Harwin, S., & Lucieer, A. (2012). Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery. Remote Sensing (UAV special issue), 4(6), 1573-1599. doi:10.3390/rs4061573. Download
  17. Kelcey, J., & Lucieer, A. (2012). Sensor Correction of a 6-Band Multispectral Imaging Sensor for UAV Remote Sensing. Remote Sensing (UAV special issue), 4(5), 1462-1493. doi:10.3390/rs4051462. Download
  18. Turner, D., Lucieer, A., & Watson, C. (2012). An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds. Remote Sensing (UAV special issue), 4(5), 1392-1410.doi:10.3390/rs4051392. Download
  19. Wallace, L., Lucieer, A., Watson, C., & Turner, D. (2012). Development of a UAV-LiDAR System with Application to Forest Inventory. Remote Sensing (UAV special issue), 4(6), 1519-1543. doi:10.3390/rs4061519. Download

 Conference papers

  1. Kelcey, J. and Lucieer, A. (2013) An adaptive texture selection framework for ultra-high resolution UAV imagery, Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 21-26 July 2013, Melbourne, Australia, pp. 3883-3886. ISBN 978-1-4799-1114-1.10.1109/IGARSS.2013.6723680. Download
  2. Wallace, L. (2013) Assessing the stability of canopy maps produced from UAV-LiDAR data, Proceedings of 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 21-26 July 2013, Melbourne, Australia, pp. 3879 – 3882. ISBN 978-1-4799-1114-1.10.1109/IGARSS.2013.6723679. Download
  3. Kelcey, J., and Lucieer, A. (2012). Sensor correction and radiometric calibration of a 6-band multispectral imaging sensor for UAV remote sensing. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XXXIX-B1, pp. 393–398). doi:10.5194/isprsarchives-XXXIX-B1-393-2012. Download
  4. Harwin, S., and Lucieer, A. (2012). An accuracy assessment of georeferenced point clouds produced via multi-view stereo techniques applied to imagery acquired via unmanned aerial vehicle. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XXXIX-B7, pp. 475–480). doi:10.5194/isprsarchives-XXXIX-B7-475-2012. Download
  5. Lucieer, A., Robinson, S., Turner, D., Harwin, S., and Kelcey, J. (2012). Using a micro-UAV for ultra-high resolution multi-sensor observations of antarctic moss beds. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XXXIX-B1, pp. 429–433). doi:10.5194/isprsarchives-XXXIX-B1-429-2012. Download
  6. Wallace, L. O., Lucieer, A., and Watson, C. S. (2012). Assessing the feasibility of UAV-based lidar for high resolution forest change detection. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (Vol. XXXIX-B7, pp. 499–504). doi:10.5194/isprsarchives-XXXIX-B7-499-2012. Download
  7. Wallace, L., Lucieer, A., Turner, D. and Watson C. (2011) Error assessment and mitigation for hyper-temporal UAV-borne LiDAR surveys of forest inventory, SilviLaser 2011, Hobart, Tasmania, 16 – 20 October. Download
  8. Lucieer, A., Robinson, S., and Turner, D. (2011). Unmanned Aerial Vehicle (UAV) Remote Sensing for Hyperspatial Terrain Mapping of Antarctic Moss Beds based on Structure from Motion (SfM) point clouds. In: Proceedings of the 34th International Symposium on Remote Sensing of Environment (ISRSE34), Sydney, Australia, April 2011. Download
  9. Turner, D. And Lucieer, A. (2011). Development of an Unmanned Aerial Vehicle (UAV) for hyper resolution vineyard mapping based on visible, multispectral, and thermal imagery. In: Proceedings of the 34th International Symposium on Remote Sensing of Environment (ISRSE34), Sydney, Australia, April 2011. Download
  10. Lucieer, A., Robinson, S., and Turner, D. (2010). Using an unmanned aerial vehicle (UAV) for ultra-high resolution mapping of Antarctic moss beds. In:Proceedings of the Australasian Remote Sensing and Photogrammetry Conference (15th ARSPC), Alice Springs, Australia, September 2010. Download

Theses

  1. Harwin, S. (2015) Structure-from-Motion (SfM) from an Unmanned Aerial Vehicle (UAV) for centimetre-scale monitoring of coastal erosion. PhD Thesis, University of Tasmania.
  2. Turner, D. (2015) Multi-sensor, multi-temporal, and ultra-high resolution environmental remote sensing from UAVs. PhD Thesis, University of Tasmania. Download
  3. Kelcey, J. (2014) Object-based image analysis of ultra-high resolution imagery acquired over a saltmarsh environment by an Unmanned Aircraft System (UAS). PhD Thesis, University of Tasmania
  4. Wallace, L. (2014) The development and application of a unmanned aerial vehicle laser scanning system for forest management. PhD Thesis, University of Tasmania. Download

Posters

  1. Iqbal, I. A. (2015) Forest Metrics from LiDAR and Photogrammetric Point Clouds. 9th Annual Graduate Research Conference, 3-4 September, 2015, Hobart, Australia. Download

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