Giandomenico De Luca

Orcid: 0000-0002-4740-6468

According to our database1, Giandomenico De Luca authored at least 10 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Point cloud density approach to characterize and estimate shrub fuel load in the mediterranean environments using mobile laser scanning.
Comput. Electron. Agric., 2026

2025
Towards Semi-automatic Detection of Illegal Logging: Integrating Optical and SAR Satellite Imagery with StanForD Field-Machine Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 Workshops - Istanbul, Turkey, June 30, 2025

2024
Mapping Glacial Lakes with Prisma Images.
Proceedings of the 14th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2024

Thermal and Radiative Properties of Photovoltaic, Artificial and Natural Land Covers to Support Urban Planning.
Proceedings of the IGARSS 2024, 2024

2023
Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery.
Int. J. Digit. Earth, December, 2023

UAV LiDAR Survey for Forest Structure Metrics Estimation in Planning Scenario. A Case Study on a Laricio Pine Forest in the Sila Mountains (Southern Italy).
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2021
Combined Use of Sentinel-1 and Sentinel-2 for Burn Severity Mapping in a Mediterranean Region.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020
Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees' crowns from UAV multispectral imagery.
Comput. Electron. Agric., 2020

Unsupervised Burned Area Mapping in a Protected Natural Site. An Approach Using SAR Sentinel-1 Data and K-mean Algorithm.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox.
Remote. Sens., 2019


  Loading...