PIGNATTI MORANO DI CUSTOZA, STEFANO
PIGNATTI MORANO DI CUSTOZA, STEFANO
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Accurate Paddy Rice Mapping Based on Phenology-Based Features and Object-Based Classification
2024 Zhang, J.; Gao, L.; Liu, M.; Dong, Y.; Liu, C.; Casa, R.; Pignatti Morano di Custoza, S.; Huang, W.; Li, Z.; Tian, T.; Hu, R.
Assimilating Satellite-Based Biophysical Variables Data into AquaCrop Model for Silage Maize Yield Estimation Using Water Cycle Algorithm
2024 Akbari, E.; Boloorani, A. D.; Verrelst, J.; Pignatti Morano di Custoza, S.
Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test Cases
2024 Mirzaei, S.; Pascucci, S.; Carfora, M. F.; Casa, R.; Rossi, F.; Santini, F.; Palombo, A.; Laneve, G.; PIGNATTI MORANO DI CUSTOZA, Stefano
How global sensitive is the AquaCrop model to input parameters? A case study of silage maize yield on a regional scale
2024 Akbari, Elahe; Darvishi Boloorani, Ali; Verrelst, Jochem; Pignatti, Stefano; Neysani Samany, Najmeh; Soufizadeh, Saeid; Hamzeh, Saeid
Land Suitability Assessment Based on Feature-Level Fusion of Sentinel-1 and Sentinel-2 Imagery: A Case Study of the Honam Region of Iran
2024 Khaki, Bahare Delsous; Chatrenour, Mansour; Navidi, Mir Naser; Soleimani, Masoud; Mirzaei, Saham; Pignatti, Stefano
Predicting soil nutrients with PRISMA hyperspectral data at the field scale: the Handan (south of Hebei Province) test cases
2024 Rossi, Francesco; Casa, Raffaele; Huang, Wenjiang; Laneve, Giovanni; Linyi, Liu; Mirzaei, Saham; Pascucci, Simone; Pignatti, Stefano; Yu, Ren
Hyperspectral Mixture Models in the CHIME Mission Implementation for Topsoil Texture Retrieval
2023 Valentini, Emiliana; Taramelli, Andrea; Marinelli, Chiara; Martin Laura, Piedelobo; Fassari, Marco; Troffa, Stefano; Mzid, Nada; Casa, Raffaele; PIGNATTI MORANO DI CUSTOZA, Stefano
Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy)
2023 Ciancia, Emanuele; Campanelli, Alessandra; Colonna, Roberto; Palombo, Angelo; Pascucci, Simone; Pignatti, Stefano; Pergola, Nicola
Evaluation of Agricultural Bare Soil Properties Retrieval from Landsat 8, Sentinel-2 and PRISMA Satellite Data
2022 Mzid, N; Castaldi, F; Tolomio, M; Pascucci, S; Casa, R; Pignatti, S
Performance of a Portable FT-NIR MEMS Spectrometer to Predict Soil Features
2022 Priori, S; Mzid, N; Pascucci, S; Pignatti, S; Casa, R
PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy
2022 Pignatti, S; Amodeo, A; Carfora, Mf; Casa, R; Mona, L; Palombo, A; Pascucci, S; Rosoldi, M; Santini, F; Laneve, G
Sino-eu earth observation data to support the monitoring and management of agricultural resources
2021 Pignatti, S; Casa, R; Laneve, G; Li, Z; Liu, L; Marzialetti, P; Mzid, N; Pascucci, S; Silvestro, Pc; Tolomio, M; Upreti, D; Yang, H; Yang, G; Huang, W
A Comparison of Moment-Independent and Variance-Based Global Sensitivity Analysis Approaches for Wheat Yield Estimation with the Aquacrop-OS Model
2020 Upreti, Deepak; PIGNATTI MORANO DI CUSTOZA, Stefano; Pascucci, Simone; Tolomio, Massimo; Li, Zhenhai; Huang, Wenjiang; Casa, Raffaele
Bayesian Calibration of the Aquacrop-OS Model for Durum Wheat by Assimilation of Canopy Cover Retrieved from VEN mu S Satellite Data
2020 Upreti, Deepak; PIGNATTI MORANO DI CUSTOZA, Stefano; Pascucci, Simone; Tolomio, Massimo; Huang, Wenjiang; Casa, Raffaele
Dynamics of sun-induced chlorophyll fluorescence and reflectance to detect stress-induced variations in canopy photosynthesis
2020 Pinto, Francisco; Celesti, Marco; Acebron, Kelvin; Alberti, Giorgio; Cogliati, Sergio; Colombo, Roberto; Juszczak, Radoslaw; Matsubara, Shizue; Miglietta, Franco; Palombo, Angelo; Panigada, Cinzia; PIGNATTI MORANO DI CUSTOZA, Stefano; Rossini, Micol; Sakowska, Karolina; Schickling, Anke; Schuttemeyer, Dirk; Strozecki, Marcin; Tudoroiu, Marin; Rascher, Uwe
Modeling and multi-temporal characterization of total suspended matter by the combined use of sentinel 2-MSI and landsat 8-OLI Data: The Pertusillo lake case study (Italy)
2020 Ciancia, E; Campanelli, A; Lacava, T; Palombo, A; Pascucci, S; Pergola, N; Pignatti, S; Satriano, V; Tramutoli, V
Special Issue "Hyperspectral Remote Sensing of Agriculture and Vegetation"
2020 Pascucci, Simone; PIGNATTI MORANO DI CUSTOZA, Stefano; Casa, Raffaele; Darvishzadeh, Roshanak; Huang, Wenjiang
A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2
2019 Upreti, Deepak; Huang, Wenjiang; Kong, Weiping; Pascucci, Simone; Pignatti, Stefano; Zhou, Xianfeng; Ye, Huichun; Casa, Raffaele
A comparison between standard and functional clustering methodologies: Application to agricultural fields for yield pattern assessment
2018 Pascucci S.; Carfora M.F.; Palombo A.; Pignatti S.; Casa R.; Pepe M.; Castaldi F.
Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval
2018 Xie; Q.a;b;c; Dash; J.b; Huang; W.c; Peng; D.c; Qin; Q.d; Mortimer; H.e; Casa; R.f; Pignatti; S.g; Laneve; G.h; Pascucci; S.g; Dong; Y.c; Ye; H.c
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Accurate Paddy Rice Mapping Based on Phenology-Based Features and Object-Based Classification | 1-gen-2024 | Zhang, J.; Gao, L.; Liu, M.; Dong, Y.; Liu, C.; Casa, R.; Pignatti Morano di Custoza, S.; Huang, W.; Li, Z.; Tian, T.; Hu, R. | |
Assimilating Satellite-Based Biophysical Variables Data into AquaCrop Model for Silage Maize Yield Estimation Using Water Cycle Algorithm | 1-gen-2024 | Akbari, E.; Boloorani, A. D.; Verrelst, J.; Pignatti Morano di Custoza, S. | |
Early-Season Crop Mapping by PRISMA Images Using Machine/Deep Learning Approaches: Italy and Iran Test Cases | 1-gen-2024 | Mirzaei, S.; Pascucci, S.; Carfora, M. F.; Casa, R.; Rossi, F.; Santini, F.; Palombo, A.; Laneve, G.; PIGNATTI MORANO DI CUSTOZA, Stefano | |
How global sensitive is the AquaCrop model to input parameters? A case study of silage maize yield on a regional scale | 1-gen-2024 | Akbari, Elahe; Darvishi Boloorani, Ali; Verrelst, Jochem; Pignatti, Stefano; Neysani Samany, Najmeh; Soufizadeh, Saeid; Hamzeh, Saeid | |
Land Suitability Assessment Based on Feature-Level Fusion of Sentinel-1 and Sentinel-2 Imagery: A Case Study of the Honam Region of Iran | 1-gen-2024 | Khaki, Bahare Delsous; Chatrenour, Mansour; Navidi, Mir Naser; Soleimani, Masoud; Mirzaei, Saham; Pignatti, Stefano | |
Predicting soil nutrients with PRISMA hyperspectral data at the field scale: the Handan (south of Hebei Province) test cases | 1-gen-2024 | Rossi, Francesco; Casa, Raffaele; Huang, Wenjiang; Laneve, Giovanni; Linyi, Liu; Mirzaei, Saham; Pascucci, Simone; Pignatti, Stefano; Yu, Ren | |
Hyperspectral Mixture Models in the CHIME Mission Implementation for Topsoil Texture Retrieval | 1-gen-2023 | Valentini, Emiliana; Taramelli, Andrea; Marinelli, Chiara; Martin Laura, Piedelobo; Fassari, Marco; Troffa, Stefano; Mzid, Nada; Casa, Raffaele; PIGNATTI MORANO DI CUSTOZA, Stefano | |
Improving Colored Dissolved Organic Matter (CDOM) Retrievals by Sentinel2-MSI Data through a Total Suspended Matter (TSM)-Driven Classification: The Case of Pertusillo Lake (Southern Italy) | 1-gen-2023 | Ciancia, Emanuele; Campanelli, Alessandra; Colonna, Roberto; Palombo, Angelo; Pascucci, Simone; Pignatti, Stefano; Pergola, Nicola | |
Evaluation of Agricultural Bare Soil Properties Retrieval from Landsat 8, Sentinel-2 and PRISMA Satellite Data | 1-gen-2022 | Mzid, N; Castaldi, F; Tolomio, M; Pascucci, S; Casa, R; Pignatti, S | |
Performance of a Portable FT-NIR MEMS Spectrometer to Predict Soil Features | 1-gen-2022 | Priori, S; Mzid, N; Pascucci, S; Pignatti, S; Casa, R | |
PRISMA L1 and L2 Performances within the PRISCAV Project: The Pignola Test Site in Southern Italy | 1-gen-2022 | Pignatti, S; Amodeo, A; Carfora, Mf; Casa, R; Mona, L; Palombo, A; Pascucci, S; Rosoldi, M; Santini, F; Laneve, G | |
Sino-eu earth observation data to support the monitoring and management of agricultural resources | 1-gen-2021 | Pignatti, S; Casa, R; Laneve, G; Li, Z; Liu, L; Marzialetti, P; Mzid, N; Pascucci, S; Silvestro, Pc; Tolomio, M; Upreti, D; Yang, H; Yang, G; Huang, W | |
A Comparison of Moment-Independent and Variance-Based Global Sensitivity Analysis Approaches for Wheat Yield Estimation with the Aquacrop-OS Model | 1-gen-2020 | Upreti, Deepak; PIGNATTI MORANO DI CUSTOZA, Stefano; Pascucci, Simone; Tolomio, Massimo; Li, Zhenhai; Huang, Wenjiang; Casa, Raffaele | |
Bayesian Calibration of the Aquacrop-OS Model for Durum Wheat by Assimilation of Canopy Cover Retrieved from VEN mu S Satellite Data | 1-gen-2020 | Upreti, Deepak; PIGNATTI MORANO DI CUSTOZA, Stefano; Pascucci, Simone; Tolomio, Massimo; Huang, Wenjiang; Casa, Raffaele | |
Dynamics of sun-induced chlorophyll fluorescence and reflectance to detect stress-induced variations in canopy photosynthesis | 1-gen-2020 | Pinto, Francisco; Celesti, Marco; Acebron, Kelvin; Alberti, Giorgio; Cogliati, Sergio; Colombo, Roberto; Juszczak, Radoslaw; Matsubara, Shizue; Miglietta, Franco; Palombo, Angelo; Panigada, Cinzia; PIGNATTI MORANO DI CUSTOZA, Stefano; Rossini, Micol; Sakowska, Karolina; Schickling, Anke; Schuttemeyer, Dirk; Strozecki, Marcin; Tudoroiu, Marin; Rascher, Uwe | |
Modeling and multi-temporal characterization of total suspended matter by the combined use of sentinel 2-MSI and landsat 8-OLI Data: The Pertusillo lake case study (Italy) | 1-gen-2020 | Ciancia, E; Campanelli, A; Lacava, T; Palombo, A; Pascucci, S; Pergola, N; Pignatti, S; Satriano, V; Tramutoli, V | |
Special Issue "Hyperspectral Remote Sensing of Agriculture and Vegetation" | 1-gen-2020 | Pascucci, Simone; PIGNATTI MORANO DI CUSTOZA, Stefano; Casa, Raffaele; Darvishzadeh, Roshanak; Huang, Wenjiang | |
A Comparison of Hybrid Machine Learning Algorithms for the Retrieval of Wheat Biophysical Variables from Sentinel-2 | 1-gen-2019 | Upreti, Deepak; Huang, Wenjiang; Kong, Weiping; Pascucci, Simone; Pignatti, Stefano; Zhou, Xianfeng; Ye, Huichun; Casa, Raffaele | |
A comparison between standard and functional clustering methodologies: Application to agricultural fields for yield pattern assessment | 1-gen-2018 | Pascucci S.; Carfora M.F.; Palombo A.; Pignatti S.; Casa R.; Pepe M.; Castaldi F. | |
Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval | 1-gen-2018 | Xie; Q.a;b;c; Dash; J.b; Huang; W.c; Peng; D.c; Qin; Q.d; Mortimer; H.e; Casa; R.f; Pignatti; S.g; Laneve; G.h; Pascucci; S.g; Dong; Y.c; Ye; H.c |