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 | 39 | 2021 |
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 | 32 | 2021 |
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 | 26 | 2020 |
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 | 23 | 2020 |
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 | 22 | 2019 |
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 | 19 | 2021 |
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 | 17 | 2021 |
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 | 17 | 2020 |
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 | 17 | 2019 |
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 | 16 | 2021 |
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 | 14 | 2021 |
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 | 14 | 2019 |
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 | 12 | 2021 |
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 | 12 | 2021 |
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 | 11 | 2022 |
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 | 6 | 2022 |
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 | 6 | 2022 |
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 | 5 | 2023 |
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 | 5 | 2020 |
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 | 4 | 2023 |