Segui
Nicola Lopane
Nicola Lopane
Università di Ferrara- Dipartimento di Fisica e Scienze della Terra- PhD in Physics
Email verificata su unife.it
Titolo
Citata da
Citata da
Anno
Airborne radiometric surveys and machine learning algorithms for revealing soil texture
A Maino, M Alberi, E Anceschi, E Chiarelli, L Cicala, T Colonna, ...
Remote Sensing 14 (15), 3814, 2022
132022
Comprehensive model for sustainable water resource management in Southern Algeria: integrating remote sensing and WEAP model
R Zegait, IE Bouznad, B Remini, D Bengusmia, F Ajia, E Guastaldi, ...
Modeling Earth Systems and Environment 10 (1), 1027-1042, 2024
12024
A Deep Neural Network for predicting soil texture using airborne radiometric data
A Maino, M Alberi, A Barbagli, E Chiarelli, T Colonna, M Franceschi, ...
Radiation Physics and Chemistry, 111767, 2024
2024
Airborne surveys for the detection of Flavescence Dorée in vineyards
V Strati, M Alberi, A Barbagli, S Boncompagni, L Casoli, E Chiarelli, ...
EGU24, 2024
2024
Proximal Gamma Ray Spectroscopy for monitoring Soil Water Content in vineyards
M Franceschi, M Alberi, M Antoni, A Baldi, A Barbagli, L Beltramone, ...
EGU24, 2024
2024
Geoelectric joint inversion: a novel approach for grape vineyards investigation
N Lopane, M Alberi, A Barbagli, E Chiarelli, T Colonna, M Franceschi, ...
Agrogeo24, 2023
2023
BlueSky: a system for in-situ identification of 137Cs in industrial waste
V Strati, M Albéri, E Chiarelli, T Colonna, E Guastaldi, A Iannarone, ...
EGU General Assembly Conference Abstracts, EGU-2800, 2023
2023
Mapping soil texture with airborne gamma ray spectroscopy
A Maino, M Alberi, E Anceschi, E Chiarelli, L Cicala, T Colonna, ...
EGU General Assembly Conference Abstracts, EGU22-361, 2022
2022
Applications of Convolutional and Residual neural networks to solve the electrical resistivity tomography inversion
N LOPANE
2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–9