Milto Miltiadou

According to our database, Milto Miltiadou authored at least 8 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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.

Milto Miltiadou, Vassilia Karathanassi, Athos Agapiou, Christos Theocharidis, Polychronis Kolokousis, Chris Danezis

Remote. Sens., 2022

Time Series Analysis of Landsat Data for Investigating the Relationship between Land Surface Temperature and Forest Changes in Paphos Forest, Cyprus.

Vassilis Andronis, Vassilia Karathanassi, Victoria Tsalapati, Polichronis Kolokoussis, Milto Miltiadou, Chris Danezis

Remote. Sens., 2022

AI applications in forest monitoring need remote sensing benchmark datasets.

Emily R. Lines, Matt Allen, Carlos Cabo, Kim Calders, Amandine Debus, Stuart W. D. Grieve, Milto Miltiadou, Adam Noach, Harry J. F. Owen, Stefano Puliti

Proceedings of the IEEE International Conference on Big Data, 2022

2021

A Comparative Study about Data Structures Used for Efficient Management of Voxelised Full-Waveform Airborne LiDAR Data during 3D Polygonal Model Creation.

Milto Miltiadou, Neill D. F. Campbell, Darren Cosker, Michael G. Grant

Remote. Sens., 2021

Identification of Significative LiDAR Metrics and Comparison of Machine Learning Approaches for Estimating Stand and Diversity Variables in Heterogeneous Brazilian Atlantic Forest.

Rorai Pereira Martins-Neto, Antonio Maria Garcia Tommaselli, Nilton Nobuhiro Imai, Hassan Camil David, Milto Miltiadou, Eija Honkavaara

Remote. Sens., 2021

2018

Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest.

Milto Miltiadou, Neill D. F. Campbell, Susana Gonzalez Aracil, Tony Brown, Michael G. Grant

Int. J. Appl. Earth Obs. Geoinformation, 2018

2017

Efficient accumulation, analysis and visualisation of full-waveform LiDAR in a volumetric representation with applications to forestry.

Milto Miltiadou

PhD thesis, 2017

2016

Improving and Optimising Visualisations of Full-waveform LiDAR Data.

Milto Miltiadou, Neill D. F. Campbell, Matthew Brown, Darren Cosker, Michael G. Grant

Proceedings of the Computer Graphics & Visual Computing, 2016