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Milto Miltiadou
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2020 – today
- 2025
- [j6]Milto Miltiadou
, Stuart W. D. Grieve, Paloma Ruiz-Benito, Julen Astigarraga
PlotToSat: A tool for generating time-series signatures from Sentinel-1 and Sentinel-2 at field-based plots for machine learning applications. Environ. Model. Softw. 188: 106395 (2025) - 2024
- [c3]Milto Miltiadou, Emily R. Lines, Stuart W. D. Grieve, Paloma Ruiz-Benito, Julen Astigarraga, Verónica Cruz:
Tree Genera Classifications in Spain Using Time-Series Sentinel-2 Data Extracted from Plottosat. IGARSS 2024: 4953-4956 - 2022
- [j5]Vassilis Andronis
Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus. Remote. Sens. 14(4): 1010 (2022) - [j4]Milto Miltiadou
A Selection of Experiments for Understanding the Strengths of Time Series SAR Data Analysis for Finding the Drivers Causing Phenological Changes in Paphos Forest, Cyprus. Remote. Sens. 14(15): 3581 (2022) - [c2]Emily R. Lines, Matt Allen, Carlos Cabo, Kim Calders, Amandine Debus
AI applications in forest monitoring need remote sensing benchmark datasets. IEEE Big Data 2022: 4528-4533 - [i1]Emily R. Lines
AI applications in forest monitoring need remote sensing benchmark datasets. CoRR abs/2212.09937 (2022) - 2021
- [j3]Milto Miltiadou
A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation. Remote. Sens. 13(4): 559 (2021) - [j2]Rorai Pereira Martins-Neto
Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest. Remote. Sens. 13(13): 2444 (2021)
2010 – 2019
- 2018
- [j1]Milto Miltiadou
Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest. Int. J. Appl. Earth Obs. Geoinformation 67: 135-147 (2018) - 2017
- [b1]Milto Miltiadou:
Efficient accumulation, analysis and visualisation of full-waveform LiDAR in a volumetric representation with applications to forestry. University of Bath, Somerset, UK, 2017 - 2016
- [c1]Milto Miltiadou
Improving and Optimising Visualisations of Full-waveform LiDAR Data. CGVC 2016: 45-47
Coauthor Index
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