Francesco Nutini
Orcid: 0000-0001-5430-5991
According to our database1,
Francesco Nutini
authored at least 18 papers
between 2014 and 2024.
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Bibliography
2024
Towards an Improved High-Throughput Phenotyping Approach: Utilizing MLRA and Dimensionality Reduction Techniques for Transferring Hyperspectral Proximal-Based Model to Airborne Images.
Remote. Sens., February, 2024
Proceedings of the IGARSS 2024, 2024
2023
Assessing Wheat Yield and Grain Protein Content with Machine Learning and Satellite Hyperspectral Data: Multi-Year Explorative Analysis.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Retrieving Biophysical And Biochemical Crop Traits Using Continuum-Removed Absorption Features From Hyperspectral Proximal Sensing.
Proceedings of the 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
Multi Crop Estimation of LAI from Sentinel-2 VIs with Parametric Regression Approach: Comparison of Performances and VIs Sensitivity.
Proceedings of the Geomatics for Green and Digital Transition - 25th Italian Conference, 2022
2020
Influence of Soil Properties on Maize and Wheat Nitrogen Status Assessment from Sentinel-2 Data.
Remote. Sens., 2020
"sen2r": An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data.
Comput. Geosci., 2020
2019
Estimating Crop Nutritional Status Using Smart Apps to Support Nitrogen Fertilization. A Case Study on Paddy Rice.
Sensors, 2019
2018
An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps.
Comput. Electron. Agric., 2018
2017
Downstream Services for Rice Crop Monitoring in Europe: From Regional to Local Scale.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
A Weekly Indicator of Surface Moisture Status from Satellite Data for Operational Monitoring of Crop Conditions.
Sensors, 2017
Exploitation of SAR and Optical Sentinel Data to Detect Rice Crop and Estimate Seasonal Dynamics of Leaf Area Index.
Remote. Sens., 2017
2015
Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to Rice Areas in Leyte, Philippines Affected by Typhoon Haiyan.
Remote. Sens., 2015
Evaporative fraction from time series of MODIS data to monitor crop status in Northern Italy.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Assimilating seasonality information derived from satellite data time series in crop modelling for rice yield estimation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Evaporative Fraction as an Indicator of Moisture Condition and Water Stress Status in Semi-Arid Rangeland Ecosystems.
Remote. Sens., 2014