Efficient Accumulation, Analysis and Visualisation of Full-Waveform LiDAR in a Volumetric Representation with Applications to Forestry
This repository contains the Latex (.tex) files for the EngD thesis submitted by Milto Miltiadou for the degree of Doctor of Engineering of the University of Bath (Centre for Digital Entertainment, Department of Computer Science) and Plymouth Marine Laboratory (Remote Sensing Group).
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Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest. Miltiadou, M., Campbell, N. D., Aracil, S. G., Brown, T., & Grant, M. G. (2018). International journal of applied earth observation and geoinformation, 67, 135-147. doi: https://doi.org/10.1016/j.jag.2018.01.008
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A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation. Miltiadou, M., Campbell, N. D., Cosker, D., & Grant, M. G. (2021). Remote Sensing, 13(4), 559. doi: https://doi.org/10.3390/rs13040559
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Alignment of hyperspectral imagery and full-waveform LiDAR data for visualisation and classification purposes. Miltiadou, M., Warren, M., Grant, M. G., & Brown, M. A. (2015). International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences-ISPRS Archives. doi: https://doi.org/10.5194/isprsarchives-XL-7-W3-1257-2015
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Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar. Miltiadou, M., Grant, M. G., Campbell, N. D., Warren, M., Clewley, D., & Hadjimitsis, D. G. (2019, June). In Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019) (Vol. 11174, p. 111741M). International Society for Optics and Photonics. doi: https://doi.org/10.1117/12.2537915
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Improving and optimising visualisations of full-waveform LiDAR data. Miltiadou, M., Campbell, N. D., Brown, M. A., Cosker, D., & Grant, M. G. (2016). EG UK Computer Graphics & Visual Computing (CGVC). Eurographics Proceedings. The Eurographics Association doi: http://dx.doi.org/10.2312/cgvc.20161295
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Reconstruction of a 3D Polygon Representation from full-waveform LiDAR data. Miltiadou, M., Grant, M., Brown, M. A., Warren, M., & Carolan, E. (2014). RSPSoc Conference Link: https://www.researchgate.net/publication/277622377_Reconstruction_of_a_3D_Polygon_Representation_from_full-waveform_LiDAR_data
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Detecting Dead Standing Eucalypt Trees from Voxelised Full-Waveform Lidar Using Multi-Scale 3D-Windows for Tackling Height and Size Variations. Miltiadou, M., Agapiou, A., Gonzalez Aracil, S., & Hadjimitsis, D. G. (2020). Forests, 11(2), 161. doi: https://doi.org/10.3390/f11020161
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Do People Understand and Observe the Effects of Climate Crisis on Forests? The Case Study of Cyprus. Miltiadou, M., Antoniou, E., Theocharidis, C., & Danezis, C. (2021). Forests, 12(9), 1152. doi: https://doi.org/10.3390/f12091152
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Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest. Martins-Neto, R. P., Tommaselli, A. M. G., Imai, N. N., David, H. C., Miltiadou, M., & Honkavaara, E. (2021). Remote Sensing, 13(13), 2444. doi: https://doi.org/10.3390/rs13132444
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Tree Species Classification in a Complex Brazilian Tropical Forest Using Hyperspectral and LiDAR Data. Pereira Martins-Neto, R., Garcia Tommaselli, A. M., Imai, N. N., Honkavaara, E., Miltiadou, M., Saito Moriya, E. A., & David, H. C. (2023). Forests, 14(5), 945. doi: https://doi.org/10.3390/f14050945
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"Overview of LiDAR; system variations, data interpretation & applications": https://www.geo.university/courses/overview-of-lidar-system-variations-data-interpretation-applications?ref=67f4b2
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