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Filippo Sarvia
Filippo Sarvia
DISAFA-Università degli Studi di Torino
Verified email at unito.it
Title
Cited by
Cited by
Year
A possible role of copernicus sentinel-2 data to support common agricultural policy controls in agriculture
F Sarvia, E Xausa, S De Petris, G Cantamessa, E Borgogno-Mondino
Agronomy 11 (1), 110, 2021
392021
Exploring climate change effects on vegetation phenology by MOD13Q1 data: The piemonte region case study in the period 2001–2019
F Sarvia, S De Petris, E Borgogno-Mondino
Agronomy 11 (3), 555, 2021
322021
Multi-scale remote sensing to support insurance policies in agriculture: From mid-term to instantaneous deductions
F Sarvia, S De Petris, E Borgogno Mondino
GIScience & Remote Sensing, 1-15, 2020
262020
A methodological proposal to support estimation of damages from hailstorms based on copernicus sentinel 2 data times series
F Sarvia, S De Petris, E Borgogno-Mondino
Computational Science and Its Applications–ICCSA 2020: 20th International …, 2020
232020
Supporting insurance strategies in agriculture by remote sensing: a possible approach at regional level
E Borgogno-Mondino, F Sarvia, MA Gomarasca
Computational Science and Its Applications–ICCSA 2019: 19th International …, 2019
222019
Supporting Pro-Poor Reforms of Agricultural Systems in Eastern DRC (Africa) with Remotely Sensed Data: A Possible Contribution of Spatial Entropy to Interpret Land Management …
P De Marinis, S De Petris, F Sarvia, G Manfron, EJ Momo, T Orusa, ...
Land 10 (12), 1368, 2021
192021
Sentinel-1 polarimetry to map apple orchard damage after a storm
S De Petris, F Sarvia, M Gullino, E Tarantino, E Borgogno-Mondino
Remote Sensing 13 (5), 1030, 2021
172021
RPAS-based photogrammetry to support tree stability assessment: Longing for precision arboriculture
S De Petris, F Sarvia, E Borgogno-Mondino
Urban forestry & urban greening 55, 126862, 2020
172020
Remotely sensed data to support insurance strategies in agriculture
F Sarvia, S De Petris, E Borgogno-Mondino
Remote sensing for agriculture, ecosystems, and hydrology XXI 11149, 438-448, 2019
172019
Multi-temporal mapping of flood damage to crops using sentinel-1 imagery: A case study of the Sesia River (October 2020)
DP Samuele, S Filippo, BM Enrico
Remote Sensing Letters 12 (5), 459-469, 2021
162021
Mapping SAR geometric distortions and their stability along time: A new tool in Google Earth Engine based on Sentinel-1 image time series
DP Samuele, S Filippo, T Orusa, BM Enrico
International Journal of Remote Sensing 42 (23), 9135-9154, 2021
142021
Precision arboriculture: A new approach to tree risk management based on geomatics tools
S De Petris, R Berretti, F Sarvia, E Borgogno-Mondino
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI 11149, 423-437, 2019
142019
MAIA S2 versus sentinel 2: spectral issues and their effects in the precision farming context
F Sarvia, S De Petris, T Orusa, E Borgogno-Mondino
International Conference on Computational Science and Its Applications, 63-77, 2021
122021
A new index for assessing tree vigour decline based on sentinel-2 multitemporal data. Application to tree failure risk management
S De Petris, F Sarvia, E Borgogno-Mondino
Remote Sensing Letters 12 (1), 58-67, 2021
122021
Mapping ecological focus areas within the EU CAP controls framework by Copernicus Sentinel-2 data
F Sarvia, S De Petris, E Borgogno-Mondino
Agronomy 12 (2), 406, 2022
112022
About Tree Height Measurement: Theoretical and Practical Issues for Uncertainty Quantification and Mapping
S De Petris, F Sarvia, E Borgogno-Mondino
Forests 13 (7), 969, 2022
62022
The Importance of agronomic knowledge for crop detection by Sentinel-2 in the CAP controls framework: a possible rule-based classification approach
F Sarvia, S De Petris, F Ghilardi, E Xausa, G Cantamessa, ...
Agronomy 12 (5), 1228, 2022
62022
Detection and counting of meadow cuts by copernicus sentinel-2 imagery in the framework of the common agricultural policy (CAP)
F Sarvia, S De Petris, E Borgogno-Mondino
European Journal of Remote Sensing 56 (1), 2129094, 2023
52023
When a definition makes the difference: operative issues about tree height measures from RPAS-derived CHMs
S De Petris, R Berretti, F Sarvia, E Borgogno Mondino
iForest-Biogeosciences and Forestry 13 (5), 404, 2020
52020
Mapping melliferous potential in productive honey areas through spatial tools: Towards a rationalization of beekeeping
F Sarvia, S De Petris, E Borgogno-Mondino
Ecological Informatics 78, 102362, 2023
42023
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