Drone-based laser scanning for improved archaeological surveys in heavily vegetated zones: A Roman coastline case study.

The increasing availability of laser scanning sensors across various platforms is revolutionizing multiple research fields, particularly archaeological surveys in densely vegetated areas. This is largely due to the sensors’ ability to penetrate vegetation effectively. Notably, drone-based laser scanning has become more prevalent for this specific application with the miniaturization of sensors, offering higher resolution and point density, although at the cost of reduced endurance. A recent study focused on a coastal area near Rome, Italy, where dense vegetation hindered ground surveys. The area showed morphologies suggesting anthropic modifications, prompting a more detailed investigation using a DJI Matrice 300 drone equipped with a Zenmuse L1 LiDAR and GNSS/RTK positioning. The goal was to leverage the LiDAR sensor’s high resolution and its capability to record multiple returns per pulse to better define these morphologies. However, the high density of vegetation posed challenges in filtering intermediate echoes to identify ground points. Despite testing various algorithms, the limited number of echoes often made it difficult to accurately classify the “last echoes” as ground points. The ongoing study aims to develop the optimal combination of filters to produce a clean dataset of ground points without eliminating valid data. Preliminary results indicate that even in areas with shrub vegetation, the strength and number of laser echoes play a crucial role in detecting ground points effectively.

Institutions

Publication Details

Published
2025-06-18
DOI
https://doi.org/10.1109/metroaerospace64938.2025.11114655
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Drone-based laser scanning for improved archaeological surveys in heavily vegetated zones: A Roman coastline case study.

Geochemistry and Geologic Mapping
article

Drone-based laser scanning for improved archaeological surveys in heavily vegetated zones: A Roman coastline case study.

article en

Abstract

The increasing availability of laser scanning sensors across various platforms is revolutionizing multiple research fields, particularly archaeological surveys in densely vegetated areas. This is largely due to the sensors’ ability to penetrate vegetation effectively. Notably, drone-based laser scanning has become more prevalent for this specific application with the miniaturization of sensors, offering higher resolution and point density, although at the cost of reduced endurance. A recent study focused on a coastal area near Rome, Italy, where dense vegetation hindered ground surveys. The area showed morphologies suggesting anthropic modifications, prompting a more detailed investigation using a DJI Matrice 300 drone equipped with a Zenmuse L1 LiDAR and GNSS/RTK positioning. The goal was to leverage the LiDAR sensor’s high resolution and its capability to record multiple returns per pulse to better define these morphologies. However, the high density of vegetation posed challenges in filtering intermediate echoes to identify ground points. Despite testing various algorithms, the limited number of echoes often made it difficult to accurately classify the “last echoes” as ground points. The ongoing study aims to develop the optimal combination of filters to produce a clean dataset of ground points without eliminating valid data. Preliminary results indicate that even in areas with shrub vegetation, the strength and number of laser echoes play a crucial role in detecting ground points effectively.

University of Padua (IT), Sapienza University of Rome (IT)
Life below water
Openalex Percentile: Top 24%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.