Saverio Francini
Orcid: 0000-0001-6991-0289
According to our database1,
Saverio Francini
authored at least 17 papers
between 2020 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Canopy height Mapper: A google earth engine application for predicting global canopy heights combining GEDI with multi-source data.
Environ. Model. Softw., 2025
2024
Per-Pixel Forest Attribute Mapping and Error Estimation: The Google Earth Engine and R dataDriven Tool.
Sensors, June, 2024
High-Resolution Canopy Height Mapping: Integrating NASA's Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data.
Remote. Sens., April, 2024
Forest species mapping and area proportion estimation combining Sentinel-2 harmonic predictors and national forest inventory data.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Comput. Electron. Agric., July, 2023
Reusing Remote Sensing-Based Validation Data: Comparing Direct and Indirect Approaches for Afforestation Monitoring.
Remote. Sens., March, 2023
GEDI4R: an R package for NASA's GEDI level 4 A data downloading, processing and visualization.
Earth Sci. Informatics, March, 2023
Estimating Afforestation Area Using Landsat Time Series and Photointerpreted Datasets.
Remote. Sens., February, 2023
Large-scale high-resolution yearly modeling of forest growing stock volume and above-ground carbon pool.
Environ. Model. Softw., 2023
2022
Integrating GEDI and Landsat: Spaceborne Lidar and Four Decades of Optical Imagery for the Analysis of Forest Disturbances and Biomass Changes in Italy.
Sensors, 2022
Environ. Model. Softw., 2022
An open science and open data approach for the statistically robust estimation of forest disturbance areas.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Sensors, 2021
The Effect of Forest Mask Quality in the Wall-to-Wall Estimation of Growing Stock Volume.
Remote. Sens., 2021
The TreeTalkersCheck R package: An automatic daily routine to check physiological traits of trees in the forest.
Ecol. Informatics, 2021
2020
The Use of Remotely Sensed Data and Polish NFI Plots for Prediction of Growing Stock Volume Using Different Predictive Methods.
Remote. Sens., 2020
A New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series.
Remote. Sens., 2020