| Object-based land cover classification of cork oak woodlands using UAV imagery and Orfeo ToolBox G De Luca, JM N. Silva, S Cerasoli, J Araújo, J Campos, S Di Fazio, ... Remote Sensing 11 (10), 1238, 2019 | 130 | 2019 |
| Monitoring the vegetation vigor in heterogeneous citrus and olive orchards. A multiscale object-based approach to extract trees’ crowns from UAV multispectral imagery G Modica, G Messina, G De Luca, V Fiozzo, S Praticò Computers and Electronics in Agriculture 175, 105500, 2020 | 91 | 2020 |
| Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region G De Luca, J MN Silva, S Di Fazio, G Modica European Journal of Remote Sensing 55 (1), 52-70, 2022 | 67 | 2022 |
| Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: A case study in a citrus orchard and an … G Modica, G De Luca, G Messina, S Praticò European Journal of Remote Sensing 54 (1), 431-460, 2021 | 61 | 2021 |
| A workflow based on Sentinel-1 SAR data and open-source algorithms for unsupervised burned area detection in Mediterranean ecosystems G De Luca, JMN Silva, G Modica GIScience & Remote Sensing 58 (4), 516-541, 2021 | 56 | 2021 |
| Regional-scale burned area mapping in Mediterranean regions based on the multitemporal composite integration of Sentinel-1 and Sentinel-2 data G De Luca, JMN Silva, G Modica GIScience & Remote Sensing 59 (1), 1678-1705, 2022 | 18 | 2022 |
| Short-term temporal and spatial analysis for post-fire vegetation regrowth characterization and mapping in a Mediterranean ecosystem using optical and SAR image time-series G De Luca, JMN Silva, G Modica Geocarto International 37 (27), 15428-15462, 2022 | 16 | 2022 |
| MN Silva J, Di Fazio S, Modica G. Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region G De Luca European Journal of Remote Sensing 55 (1), 52-70, 2022 | 16* | 2022 |
| Unsupervised burned area mapping in a protected natural site. an approach using SAR Sentinel-1 data and K-mean algorithm G De Luca, G Modica, C Fattore, R Lasaponara International Conference on Computational Science and Its Applications, 63-77, 2020 | 8 | 2020 |
| Combined use of Sentinel-1 and Sentinel-2 for burn severity mapping in a mediterranean region G De Luca, JMN Silva, D Oom, G Modica International Conference on Computational Science and Its Applications, 139-154, 2021 | 7 | 2021 |
| Assessing tree crown fire damage integrating linear spectral mixture analysis and supervised machine learning on Sentinel-2 imagery G De Luca, G Modica, JMN Silva, S Praticò, JMC Pereira International Journal of Digital Earth 16 (1), 3162-3198, 2023 | 6 | 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) G De Luca, S Praticò, G Messina, E Borgogno-Mondino, G Modica International Conference on Computational Science and Its Applications, 339-349, 2023 | 2 | 2023 |
| Canopy fire effects estimation using Sentinel-2 imagery and deep learning approach. A case study on the Aspromonte National Park G De Luca, G Modica International Conference on Applied Intelligence and Informatics, 403-417, 2022 | 2 | 2022 |
| Temporal and spatial analysis for post-fire vegetation recovery in a Mediterranean site. An approach using optical Sentinel-2 and SAR Sentinel-1 imagery. G De Luca, J Silva, G Modica EGU General Assembly Conference Abstracts, EGU22-12542, 2022 | | 2022 |
