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Rosa Maria Cavalli
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2020 – today
- 2024
- [j14]Rosa Maria Cavalli:
Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review. Remote. Sens. 16(3): 446 (2024) - [j13]Rosa Maria Cavalli, Luca Pisano, Federica Fiorucci, Francesca Ardizzone:
Assessing Many Image Processing Products Retrieved from Sentinel-2 Data to Monitor Shallow Landslides in Agricultural Environments. Remote. Sens. 16(13): 2286 (2024) - 2023
- [j12]Rosa Maria Cavalli:
Spatial Validation of Spectral Unmixing Results: A Systematic Review. Remote. Sens. 15(11): 2822 (2023) - [j11]Rosa Maria Cavalli:
The Weight of Hyperion and PRISMA Hyperspectral Sensor Characteristics on Image Capability to Retrieve Urban Surface Materials in the City of Venice. Sensors 23(1): 454 (2023) - 2022
- [j10]Rosa Maria Cavalli:
Spatial Validation of Spectral Unmixing Results: A Case Study of Venice City. Remote. Sens. 14(20): 5165 (2022) - 2021
- [j9]Rosa Maria Cavalli:
Capability of Remote Sensing Images to Distinguish the Urban Surface Materials: A Case Study of Venice City. Remote. Sens. 13(19): 3959 (2021) - 2020
- [j8]Rosa Maria Cavalli:
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 Error. Remote. Sens. 12(9): 1428 (2020)
2010 – 2019
- 2018
- [j7]Rosa Maria Cavalli:
Comparison of Split Window Algorithms for Retrieving Measurements of Sea Surface Temperature from MODIS Data in Near-Land Coastal Waters. ISPRS Int. J. Geo Inf. 7(1): 30 (2018) - [j6]Daniele Cerra, Athos Agapiou, Rosa Maria Cavalli, Apostolos Sarris:
An Objective Assessment of Hyperspectral Indicators for the Detection of Buried Archaeological Relics. Remote. Sens. 10(4): 500 (2018) - 2014
- [j5]Rosa Maria Cavalli, Mattia Betti, Alessandra Campanelli, Annalisa Di Cicco, Daniela Guglietta, Pierluigi Penna, Viviana Piermattei:
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 Waters. Sensors 14(1): 1155-1183 (2014) - 2013
- [j4]Rosa Maria Cavalli, Giorgio A. Licciardi, Jocelyn Chanussot:
Detection of Anomalies Produced by Buried Archaeological Structures Using Nonlinear Principal Component Analysis Applied to Airborne Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 659-669 (2013) - 2011
- [c5]Rosa Maria Cavalli, Cristiana Bassani, Angelo Palombo, Simone Pascucci, Stefano Pignatti, Federico Santini:
Exploitation of hyperspectral data for infrastructures status assessment: Preliminary results of the istimes test bed. WHISPERS 2011: 1-4 - 2010
- [j3]Cristiana Bassani, Rosa Maria Cavalli, Stefano Pignatti:
Aerosol Optical Retrieval and Surface Reflectance from Airborne Remote Sensing Data over Land. Sensors 10(7): 6421-6438 (2010) - [c4]L. Alberotanza, Federica Braga, Rosa Maria Cavalli, Stefano Pignatti, Federico Santini:
Hyperspectral tecniques for water quality monitoring: Application to the "Sacca di Goro" - Italy. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j2]Rosa Maria Cavalli, Simone Pascucci, Stefano Pignatti:
Optimal Spectral Domain Selection for Maximizing Archaeological Signatures: Italy Case Studies. Sensors 9(3): 1754-1767 (2009) - [j1]Umberto Amato, Rosa Maria Cavalli, Angelo Palombo, Stefano Pignatti, Federico Santini:
Experimental Approach to the Selection of the Components in the Minimum Noise Fraction. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 153-160 (2009) - [c3]Simone Pascucci, Claudia Belviso, Rosa Maria Cavalli, Giovanni Laneve, Ana Misurovic, Cinzia Perrino, Stefano Pignatti:
Red Mud Soil Contamination Near an Urban Settlement Analyzed by Airborne Hyperspectral Remote Sensing. IGARSS (4) 2009: 893-896 - [c2]Rosa Maria Cavalli, Lorenzo Fusilli, Giovanni Laneve, Stefano Pignatti, Federico Santini:
Lake Victoria Aquatic Weeds Monitoring by High Spatial and Spectral Resolution Satellite Imagery. IGARSS (2) 2009: 1048-1051 - [c1]Rosa Maria Cavalli, Simone Pascucci, Stefano Pignatti:
Hyperspectral remote sensing data to map hazardous materials in a rural and industrial district: The Podgorica dwellings case studies. WHISPERS 2009: 1-4
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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