Spatio-Temporal Analysis Using Urban-Rural Gradient Modelling and Landscape Metrics. - Marco Vizzari (ICCSA (1), 2011)

Peri-Urban Transformations in Agricultural Landscapes of Perugia, Italy. - Marco Vizzari (J. Geogr. Inf. Syst., 2011)

Ecosystem Services Along the Urban-Rural-Natural Gradient: An Approach for a Wide Area Assessment and Mapping. - Marco Vizzari; Sara Antognelli; Mohamed Hilal; Maurizia Sigura; Daniel Joly (ICCSA (3), 2015)

Potential Nitrogen Load from Crop-Livestock Systems: An Agri-environmental Spatial Database for a Multi-scale Assessment. - Marco Vizzari; Alessandra Santucci; Luca Casagrande; Mariano Pauselli; Paolo Benincasa; Michela Farneselli; Sara Antognelli; Luciano Morbidini; Piero Borghi; Giacomo Bodo (ICCSA (1), 2015)

Potential Nitrogen Load from Crop-Livestock Systems: A Spatial Database for a Multi-Scale Assessment and Mapping. - Marco Vizzari; Sara Antognelli; Mariano Pauselli; Paolo Benincasa; Michela Farneselli; Luciano Morbidini; Piero Borghi; Giacomo Bodo; Alessandra Santucci (Int. J. Agric. Environ. Inf. Syst., 2016)

LISAM: an open source GIS-based model for liveability spatial assessment. - Sara Antognelli; Marco Vizzari (PeerJ Prepr., 2016)

Using Sentinel 2 Data to Guide Nitrogen Fertilization in Central Italy: Comparison Between Flat, Low VRT and High VRT Rates Application in Wheat. - Francesco Santaga; Paolo Benincasa; Marco Vizzari (ICCSA (5), 2020)

A Comparison of UAV and Satellites Multispectral Imagery in Monitoring Onion Crop. An Application in the 'Cipolla Rossa di Tropea' (Italy). - Gaetano Messina; José M. Peña 003; Marco Vizzari; Giuseppe Modica (Remote. Sens., 2020)

Object-Oriented LULC Classification in Google Earth Engine Combining SNIC, GLCM, and Machine Learning Algorithms. - Andrea Tassi; Marco Vizzari (Remote. Sens., 2020)

Using Sentinel-2 for Simplifying Soil Sampling and Mapping: Two Case Studies in Umbria, Italy. - Francesco Santaga; Alberto Agnelli; Angelo Leccese; Marco Vizzari (Remote. Sens., 2021)

Pixel- vs. Object-Based Landsat 8 Data Classification in Google Earth Engine Using Random Forest: The Case Study of Maiella National Park. - Andrea Tassi; Daniela Gigante; Giuseppe Modica; Luciano Di Martino; Marco Vizzari (Remote. Sens., 2021)

PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine. - Marco Vizzari (Remote. Sens., 2022)

Predictive Modelling of Maize Yield Using Sentinel 2 NDVI. - Andrea Soccolini; Marco Vizzari (ICCSA (Workshops 4), 2023)

Enhanced Map Composition and Diachronic Land Cover Classification of Landsat Data in Google Earth Engine. - Marco Vizzari; Cecilia Parracciani; Daniela Gigante (ICCSA (Workshops 4), 2023)

Leveraging Google Earth Engine for a More Effective Grassland Management: A Decision Support Application Perspective. - Cecilia Parracciani; Daniela Gigante; Federica Bonini; Anna Grassi; Luciano Morbidini; Mariano Pauselli; Bernardo Valenti; Emanuele Lilli; Francesco Antonielli; Marco Vizzari (Sensors, 2024)