Gabriella Balacco

According to our database, Gabriella Balacco authored at least 7 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2021

Notes on the Performances of Morphological Descriptors for the Evaluation of Flood Susceptibility in Apulian Ephemeral Streams.

Filomena Carbone, Gabriella Balacco, Vincenzo Totaro, Andrea Gioia

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020

Coupled Use of Hydrologic-Hydraulic Model and Geomorphological Descriptors for Flood-Prone Areas Evaluation: A Case Study of Lama Lamasinata.

Beatrice Lioi, Andrea Gioia, Vincenzo Totaro, Gabriella Balacco, Vito Iacobellis, Giancarlo Chiaia

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019

Evaluation of Geomorphic Descriptors Thresholds for Flood Prone Areas Detection on Ephemeral Streams in the Metropolitan Area of Bari (Italy).

Gabriella Balacco, Vincenzo Totaro, Andrea Gioia, Alberto Ferruccio Piccinni

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

2018

Investigation of a Flood Event Occurred on Lama Balice, in the Context of Hazard Map Evaluation in Karstic-Ephemeral Streams.

Vito Iacobellis, Audrey M. N. Martellotta, Andrea Gioia, Davide Prato, Vincenzo Totaro, Rocco Bonelli, Gabriella Balacco, Alisa A. M. G. Esposito

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

Flood Susceptibility Evaluation on Ephemeral Streams of Southern Italy: A Case Study of Lama Balice.

Andrea Gioia, Vincenzo Totaro, Rocco Bonelli, Alisa A. M. G. Esposito, Gabriella Balacco, Vito Iacobellis

Proceedings of the Computational Science and Its Applications - ICCSA 2018, 2018

2017

Flood Hazard Assessment of the Fortore River Downstream the Occhito Dam, in Southern Italy.

Ciro Apollonio, Gabriella Balacco, Andrea Gioia, Vito Iacobellis, Alberto Ferruccio Piccinni

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2016

Improving the ANN Classification Accuracy of Landsat Data Through Spectral Indices and Linear Transformations (PCA and TCT) Aimed at LU/LC Monitoring of a River Basin.

Antonio Novelli, Eufemia Tarantino, Grazia Caradonna, Ciro Apollonio, Gabriella Balacco, Ferruccio Piccinni

Proceedings of the Computational Science and Its Applications - ICCSA 2016, 2016