Rosa Maria Cavalli - researchr alias

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Viewing Publication 1 - 18 from 18

2024

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic ReviewRosa Maria Cavalli. remotesensing, 16(3):446, February 2024. [doi]

2023

Spatial Validation of Spectral Unmixing Results: A Systematic ReviewRosa Maria Cavalli. remotesensing, 15(11):2822, 2023. [doi]

The Weight of Hyperion and PRISMA Hyperspectral Sensor Characteristics on Image Capability to Retrieve Urban Surface Materials in the City of VeniceRosa Maria Cavalli. sensors, 23(1):454, 2023. [doi]

2022

Spatial Validation of Spectral Unmixing Results: A Case Study of Venice CityRosa Maria Cavalli. remotesensing, 14(20):5165, 2022. [doi]

2021

Capability of Remote Sensing Images to Distinguish the Urban Surface Materials: A Case Study of Venice CityRosa Maria Cavalli. remotesensing, 13(19):3959, 2021. [doi]

2020

Local, Daily, and Total Bio-Optical Models of Coastal Waters of Manfredonia Gulf Applied to Simulated Data of CHRIS, Landsat TM, MIVIS, MODIS, and PRISMA Sensors for Evaluating the ErrorRosa Maria Cavalli. remotesensing, 12(9):1428, 2020. [doi]

2018

Comparison of Split Window Algorithms for Retrieving Measurements of Sea Surface Temperature from MODIS Data in Near-Land Coastal WatersRosa Maria Cavalli. ijgi, 7(1):30, 2018. [doi]

An Objective Assessment of Hyperspectral Indicators for the Detection of Buried Archaeological RelicsDaniele Cerra, Athos Agapiou, Rosa Maria Cavalli, Apostolos Sarris. remotesensing, 10(4):500, 2018. [doi]

2014

A Methodology to Assess the Accuracy with which Remote Data Characterize a Specific Surface, as a Function of Full Width at Half Maximum (FWHM): Application to Three Italian Coastal WatersRosa Maria Cavalli, Mattia Betti, Alessandra Campanelli, Annalisa Di Cicco, Daniela Guglietta, Pierluigi Penna, Viviana Piermattei. sensors, 14(1):1155-1183, 2014. [doi]

2013

Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral ImageRosa Maria Cavalli, Giorgio A. Licciardi, Jocelyn Chanussot. staeors, 6(2-2):659-669, 2013. [doi]

2011

Exploitation of hyperspectral data for infrastructures status assessment: Preliminary results of the istimes test bedRosa Maria Cavalli, Cristiana Bassani, Angelo Palombo, Simone Pascucci, Stefano Pignatti, Federico Santini. whispers 2011: 1-4 [doi]

2010

Hyperspectral tecniques for water quality monitoring: Application to the "Sacca di Goro" - ItalyL. Alberotanza, F. Braga, Rosa Maria Cavalli, Stefano Pignatti, Federico Santini. whispers 2010: 1-4 [doi]

Aerosol Optical Retrieval and Surface Reflectance from Airborne Remote Sensing Data over LandCristiana Bassani, Rosa Maria Cavalli, Stefano Pignatti. sensors, 10(7):6421-6438, 2010. [doi]

2009

Experimental Approach to the Selection of the Components in the Minimum Noise FractionUmberto Amato, Rosa Maria Cavalli, Angelo Palombo, Stefano Pignatti, Federico Santini. tgrs, 47(1-1):153-160, 2009. [doi]

Optimal Spectral Domain Selection for Maximizing Archaeological Signatures: Italy Case StudiesRosa Maria Cavalli, Simone Pascucci, Stefano Pignatti. sensors, 9(3):1754-1767, 2009. [doi]

Hyperspectral remote sensing data to map hazardous materials in a rural and industrial district: The Podgorica dwellings case studiesRosa Maria Cavalli, Simone Pascucci, Stefano Pignatti. whispers 2009: 1-4 [doi]

Lake Victoria Aquatic Weeds Monitoring by High Spatial and Spectral Resolution Satellite ImageryRosa Maria Cavalli, Lorenzo Fusilli, Giovanni Laneve, Stefano Pignatti, Federico Santini. igarss 2009: 1048-1051 [doi]

Red Mud Soil Contamination Near an Urban Settlement Analyzed by Airborne Hyperspectral Remote SensingSimone Pascucci, Claudia Belviso, Rosa Maria Cavalli, Giovanni Laneve, Ana Misurovic, Cinzia Perrino, Stefano Pignatti. igarss 2009: 893-896 [doi]

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