Filippo Sarvia

Orcid: 0000-0003-4556-446X

According to our database1, Filippo Sarvia authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

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

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
Sentinel-1 Polarimetry to Map Apple Orchard Damage after a Storm.
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


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