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Francesco Nutini
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2020 – today
- 2024
- [j10]Ramin Heidarian Dehkordi
, Gabriele Candiani
Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images. Remote. Sens. 16(3): 492 (2024) - [c8]Giuseppe Satalino, Davide Palmisano, Anna Balenzano, Francesco P. Lovergine, Francesco Mattia, Francesco Nutini, Mirco Boschetti, Giorgia Verza, Michele Rinaldi, Sergio Ruggieri, Francesco Ciavarella, Carmen Manganiello, Vanessa Paredes Gómez, David Alfonso Nafría García:
Copernicus Sentinels For Tillage Change Detection. IGARSS 2024: 1249-1252 - 2023
- [c7]Francesco Mattia, Anna Balenzano, Giuseppe Satalino
Earth Observation Retrieval and Classification Algorithms for Agriculture. IGARSS 2023: 1428-1431 - [c6]Marina Ranghetti, Mirco Boschetti, Francesco Nutini, Micol Rossini, Gabriele Candiani:
Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis. WHISPERS 2023: 1-5 - 2022
- [c5]Margherita De Peppo, Francesco Nutini, Gabriele Candiani, Giorgio Ragaglini, Andrea Taramelli, Federico Filipponi, Mirco Boschetti:
Multi Crop Estimation of LAI from Sentinel-2 VIs with Parametric Regression Approach: Comparison of Performances and VIs Sensitivity. ASITA 2022: 222-234 - [c4]Francesco Mattia, Anna Balenzano, Giuseppe Satalino
Multi-Frequency Sar Data for Agriculture. IGARSS 2022: 5176-5179 - [c3]Ramin Heidarian Dehkordi
Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing. WHISPERS 2022: 1-8 - 2020
- [j9]Luigi Ranghetti
"sen2r": An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data. Comput. Geosci. 139: 104473 (2020) - [j8]Alberto Crema
Influence of Soil Properties on Maize and Wheat Nitrogen Status Assessment from Sentinel-2 Data. Remote. Sens. 12(14): 2175 (2020)
2010 – 2019
- 2019
- [j7]Livia Paleari, Ermes Movedi, Fosco M. Vesely
Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy Rice. Sensors 19(4): 981 (2019) - 2018
- [j6]Francesco Nutini, Roberto Confalonieri, Alberto Crema
An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps. Comput. Electron. Agric. 154: 80-92 (2018) - 2017
- [j5]Manuel Campos-Taberner
Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index. Remote. Sens. 9(3): 248 (2017) - [j4]Francesco Nutini
A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions. Sensors 17(6): 1338 (2017) - [j3]Lorenzo Busetto
Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(12): 5423-5441 (2017) - 2015
- [j2]Mirco Boschetti
Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan. Remote. Sens. 7(6): 6535-6557 (2015) - [c2]Mirco Boschetti, Lorenzo Busetto
Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation. IGARSS 2015: 157-160 - [c1]Francesco Nutini, Daniela Stroppiana
Evaporative fraction from time series of MODIS data to monitor crop status in Northern Italy. IGARSS 2015: 2735-2738 - 2014
- [j1]Francesco Nutini
Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems. Remote. Sens. 6(7): 6300-6323 (2014)
Coauthor Index
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