Filippo Sarvia
Orcid: 0000-0003-4556-446X
According to our database1,
Filippo Sarvia
authored at least 12 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms.
Remote. Sens., March, 2024
About polygon area uncertainty in GIS and its implications on agro-forestry estimates.
Ecol. Informatics, 2024
Assessing mixed-pixels effects in vineyard mapping from Satellite: A proposal for an operational solution.
Comput. Electron. Agric., 2024
2023
Mapping melliferous potential in productive honey areas through spatial tools: Towards a rationalization of beekeeping.
Ecol. Informatics, December, 2023
Monitoring Agricultural Land and Land Cover Change from 2001-2021 of the Chi River Basin, Thailand Using Multi-Temporal Landsat Data Based on Google Earth Engine.
Remote. Sens., September, 2023
2022
Exploring Stability of Crops in Agricultural Landscape Through GIS Tools and Open Data.
Proceedings of the Computational Science and Its Applications - ICCSA 2022 Workshops, 2022
Spectral Measures from Sentinel-2 Imagery vs Ground-Based Data from Rapidscan© Sensor: Performances on Winter Wheat.
Proceedings of the Geomatics for Green and Digital Transition - 25th Italian Conference, 2022
2021
Remote. Sens., 2021
MAIA S2 Versus Sentinel 2: Spectral Issues and Their Effects in the Precision Farming Context.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
A Proposal for Crop Damage Assessment by Floods Based on an Integrated Approach Relying on Copernicus Sentinel Data and DTMs.
Proceedings of the Geomatics and Geospatial Technologies - 24th Italian Conference, 2021
2020
A Methodological Proposal to Support Estimation of Damages from Hailstorms Based on Copernicus Sentinel 2 Data Times Series.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
2019
Supporting Insurance Strategies in Agriculture by Remote Sensing: A Possible Approach at Regional Level.
Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019