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Samuele De Petris
Samuele De Petris
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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
422021
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
362021
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
312020
Detection and characterization of oil palm plantations through MODIS EVI time series
S De Petris, P Boccardo, E Borgogno-Mondino
International Journal of Remote Sensing 40 (19), 7297-7311, 2019
302019
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
242021
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
242020
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
232021
Geomatics and epidemiology: Associating oxidative stress and greenness in urban areas
S De Petris, G Squillacioti, R Bono, E Borgogno-Mondino
Environmental Research 197, 110999, 2021
232021
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
222021
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
222021
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
212020
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
192021
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
182019
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
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
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
132022
Urban environment and green spaces as factors influencing sedentary behaviour in school-aged children
G Squillacioti, S De Petris, V Bellisario, ECB Mondino, R Bono
Urban Forestry & Urban Greening 88, 128081, 2023
102023
A simplified method for water depth mapping over crops during flood based on Copernicus and DTM open data
G Federica, S Filippo, BM Enrico
Agricultural Water Management 269, 107642, 2022
102022
Preliminary concerns about agronomic interpretation of NDVI Time Series from Sentinel-2 data: phenology and thermal efficiency of winter wheat in Piemonte (NW Italy)
A Farbo, F Sarvia, S De Petris, E Borgogno-Mondino
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
92022
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
92022
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