Detection and Monitoring of Topography Changes at the Tottori Sand Dune Using UAV-LiDAR

Coastal sand dunes, shaped by aeolian and marine processes, are critical to natural ecosystems and human societies, making their morphological monitoring essential for effective conservation. However, large-scale, high-precision monitoring of topographic change remains a persistent challenge, a challenge that advanced sensing technologies can address. In this study, we propose an integrated, sensor-based approach using a UAV-mounted light detection and ranging (LiDAR) system, combined with a GNSS-RTK positioning unit and a novel ground control point (GCP) design to acquire high-resolution topographic data. Field surveys were conducted at four time points between October 2022 and February 2023 in the Tottori Sand Dunes, Japan. The digital elevation models (DEMs) derived from LiDAR point clouds achieved centimeter-level accuracy, enabling reliable detection of subtle topographic changes. Analysis of DEM differencing revealed that wind-driven sand deposition and erosion resulted in elevation changes of up to 0.4 m. These results validate the efficacy of the UAV-LiDAR sensor system for high-resolution, multitemporal monitoring of coastal sand dunes, highlighting its potential to advance the development of environmental sensing frameworks and support data-driven conservation strategies.

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Publication Details

Journal
Sensors
Published
2026-01-02
DOI
https://doi.org/10.3390/s26010302
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
0.00

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Detection and Monitoring of Topography Changes at the Tottori Sand Dune Using UAV-LiDAR

J. Liu, Yan Li, Mingyuan Du, Soichiro Okida et al.
Sensors
Aeolian processes and effects
article

Detection and Monitoring of Topography Changes at the Tottori Sand Dune Using UAV-LiDAR

J. Liu, Yan Li, Mingyuan Du, Soichiro Okida, Reiji Kimura, Jing Wu
article en

Abstract

Coastal sand dunes, shaped by aeolian and marine processes, are critical to natural ecosystems and human societies, making their morphological monitoring essential for effective conservation. However, large-scale, high-precision monitoring of topographic change remains a persistent challenge, a challenge that advanced sensing technologies can address. In this study, we propose an integrated, sensor-based approach using a UAV-mounted light detection and ranging (LiDAR) system, combined with a GNSS-RTK positioning unit and a novel ground control point (GCP) design to acquire high-resolution topographic data. Field surveys were conducted at four time points between October 2022 and February 2023 in the Tottori Sand Dunes, Japan. The digital elevation models (DEMs) derived from LiDAR point clouds achieved centimeter-level accuracy, enabling reliable detection of subtle topographic changes. Analysis of DEM differencing revealed that wind-driven sand deposition and erosion resulted in elevation changes of up to 0.4 m. These results validate the efficacy of the UAV-LiDAR sensor system for high-resolution, multitemporal monitoring of coastal sand dunes, highlighting its potential to advance the development of environmental sensing frameworks and support data-driven conservation strategies.

SensorsVol. 26(1)
Shimane University (JP), Northeast Agricultural University (CN), Yamaguchi University (JP), Chinese Academy of Sciences (CN), Xinjiang Institute of Ecology and Geography (CN), Tottori University (JP)
Japan Society for the Promotion of Science
Life below water
Openalex Percentile: Top 99%
Aeolian processes and effects
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Detection and Monitoring of Topography Changes at the Tottori Sand Dune Using UAV-LiDAR — J. Liu, Yan Li, et al. · Sensors (2026) | TGRS Research Map | TGRS