Stefano Puliti

Orcid: 0000-0003-4624-8987

According to our database1, Stefano Puliti authored at least 20 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
BranchPoseNet: Characterizing tree branching with a deep learning-based pose estimation approach.
CoRR, 2024

Benchmarking tree species classification from proximally-sensed laser scanning data: introducing the FOR-species20K dataset.
CoRR, 2024

SegmentAnyTree: A sensor and platform agnostic deep learning model for tree segmentation using laser scanning data.
CoRR, 2024

2023
Point2Tree(P2T) - Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest.
Remote. Sens., August, 2023

Automated forest inventory: analysis of high-density airborne LiDAR point clouds with 3D deep learning.
CoRR, 2023

FOR-instance: a UAV laser scanning benchmark dataset for semantic and instance segmentation of individual trees.
CoRR, 2023

Towards accurate instance segmentation in large-scale LiDAR point clouds.
CoRR, 2023

2022
UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce.
Remote. Sens., 2022

Automatic detection of snow breakage at single tree level using YOLOv5 applied to UAV imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Large Scale Forest Parameter Estimation Through a Deep Learning-Based Fusion of Sentinel-2 and Tandem-X Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

AI applications in forest monitoring need remote sensing benchmark datasets.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Multitemporal Sentinel-1 and Sentinel-2 Images for Characterization and Discrimination of Young Forest Stands Under Regeneration in Norway.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Bayesian Deep Learning.
CoRR, 2021

A New Drone Laser Scanning Benchmark Dataset for Characterization of Single-Tree and Forest Biophysical Properties.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
Remote. Sens., 2020

2019
Detection and Classification of Root and Butt-Rot (RBR) in Stumps of Norway Spruce Using RGB Images and Machine Learning.
Sensors, 2019

Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch.
Remote. Sens., 2019

Use of UAV Photogrammetric Data for Estimation of Biophysical Properties in Forest Stands Under Regeneration.
Remote. Sens., 2019

2017
Modelling above Ground Biomass in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data.
Remote. Sens., 2017

2015
Inventory of Small Forest Areas Using an Unmanned Aerial System.
Remote. Sens., 2015


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