Marco Vizzari

16 papers Journal 10Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Crop classification in Google Earth Engine: leveraging Sentinel-1, Sentinel-2, European CAP data, and object-based machine-learning approaches.
Geo spatial Inf. Sci.
Marco Vizzari, Giacomo Lesti, Siham Acharki
2024 J jnl
Leveraging Google Earth Engine for a More Effective Grassland Management: A Decision Support Application Perspective.
Sensors
Cecilia Parracciani, Daniela Gigante, Federica Bonini, Anna Grassi, Luciano Morbidini, Mariano Pauselli, Bernardo Valenti, Emanuele Lilli, Francesco Antonielli, Marco Vizzari
2023 — conf
Enhanced Map Composition and Diachronic Land Cover Classification of Landsat Data in Google Earth Engine.
ICCSA (Workshops 4)
Marco Vizzari, Cecilia Parracciani, Daniela Gigante
2023 — conf
Predictive Modelling of Maize Yield Using Sentinel 2 NDVI.
ICCSA (Workshops 4)
Andrea Soccolini, Marco Vizzari
2022 J jnl
PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine.
Remote. Sens.
Marco Vizzari
2021 J jnl
Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park.
Remote. Sens.
Andrea Tassi, Daniela Gigante, Giuseppe Modica, Luciano Di Martino, Marco Vizzari
2021 J jnl
Using Sentinel-2 for Simplifying Soil Sampling and Mapping: Two Case Studies in Umbria, Italy.
Remote. Sens.
Francesco Santaga, Alberto Agnelli, Angelo Leccese, Marco Vizzari
2020 J jnl
A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the 'Cipolla Rossa di Tropea' (Italy).
Remote. Sens.
Gaetano Messina, José M. Peña, Marco Vizzari, Giuseppe Modica
2020 J jnl
Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms.
Remote. Sens.
Andrea Tassi, Marco Vizzari
2020 — conf
Using Sentinel 2 Data to Guide Nitrogen Fertilization in Central Italy: Comparison Between Flat, Low VRT and High VRT Rates Application in Wheat.
ICCSA (5)
Francesco Santaga, Paolo Benincasa, Marco Vizzari
2016 J jnl
LISAM: an open source GIS-based model for liveability spatial assessment.
PeerJ Prepr.
Sara Antognelli, Marco Vizzari
2016 J jnl
Potential Nitrogen Load from Crop-Livestock Systems: A Spatial Database for a Multi-Scale Assessment and Mapping.
Int. J. Agric. Environ. Inf. Syst.
Marco Vizzari, Sara Antognelli, Mariano Pauselli, Paolo Benincasa, Michela Farneselli, Luciano Morbidini, Piero Borghi, Giacomo Bodo, Alessandra Santucci
2015 — conf
Ecosystem Services Along the Urban-Rural-Natural Gradient: An Approach for a Wide Area Assessment and Mapping.
ICCSA (3)
Marco Vizzari, Sara Antognelli, Mohamed Hilal, Maurizia Sigura, Daniel Joly
2015 — conf
Potential Nitrogen Load from Crop-Livestock Systems: An Agri-environmental Spatial Database for a Multi-scale Assessment.
ICCSA (1)
Marco Vizzari, Alessandra Santucci, Luca Casagrande, Mariano Pauselli, Paolo Benincasa, Michela Farneselli, Sara Antognelli, Luciano Morbidini, Piero Borghi, Giacomo Bodo
2011 J jnl
Peri-Urban Transformations in Agricultural Landscapes of Perugia, Italy.
J. Geogr. Inf. Syst.
Marco Vizzari
2011 — conf
Spatio-Temporal Analysis Using Urban-Rural Gradient Modelling and Landscape Metrics.
ICCSA (1)
Marco Vizzari