Riccardo Valentini

Orcid: 0000-0002-8489-8334

According to our database1, Riccardo Valentini authored at least 14 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Ontology-Based Data Preparation in Healthcare: The Case of the AMD-STITCH Project.
SN Comput. Sci., April, 2024

2023
Ontology-Based Data Management in Healthcare: The Case of the Italian Arthroplasty Registry.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Potential of ALOS2 Polarimetric Imagery to Support Management of Poplar Plantations in Northern Italy.
Remote. Sens., 2022

SnowWarp: An open science and open data tool for daily monitoring of snow dynamics.
Environ. Model. Softw., 2022

AI-based Data Preparation and Data Analytics in Healthcare: The Case of Diabetes.
CoRR, 2022

2020
The Fourier Series Model for Predicting Sapflow Density Flux Based on TreeTalker Monitoring System.
Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems, 2020

2019
Tree height in tropical forest as measured by different ground, proximal, and remote sensing instruments, and impacts on above ground biomass estimates.
Int. J. Appl. Earth Obs. Geoinformation, 2019

2016
Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests.
Int. J. Appl. Earth Obs. Geoinformation, 2016

2015
Performance of Linear and Nonlinear Two-Leaf Light Use Efficiency Models at Different Temporal Scales.
Remote. Sens., 2015

Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery.
Remote. Sens., 2015

First results of AfriScat, a tower-based radar experiment in African forest.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Small Footprint Full-Waveform Metrics Contribution to the Prediction of Biomass in Tropical Forests.
Remote. Sens., 2014

Use of COSMO-SkyMed constellation for monitoring the post-fire vegetation regrowth: The Capo Figari case study.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2013
Optical and SAR sensor synergies for forest and land cover mapping in a tropical site in West Africa.
Int. J. Appl. Earth Obs. Geoinformation, 2013


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