Applications of unmanned aerial systems (UASs) in hydrology: A review

M Vélez-Nicolás, S García-López, L Barbero… - Remote Sensing, 2021 - mdpi.com
In less than two decades, UASs (unmanned aerial systems) have revolutionized the field of
hydrology, bridging the gap between traditional satellite observations and ground-based …

[HTML][HTML] Adaptive model for the water depth bias correction of bathymetric LiDAR point cloud data

G Zhou, G Wu, X Zhou, C Xu, D Zhao, J Lin… - International Journal of …, 2023 - Elsevier
The water depth bias of LiDAR point cloud data has to be corrected. The previous models,
which used the fixed parameters for an entire water area, cannot efficiently correct the bias …

Evaluation of a New Lightweight UAV-Borne Topo-Bathymetric LiDAR for Shallow Water Bathymetry and Object Detection

D Wang, S Xing, Y He, J Yu, Q Xu, P Li - Sensors, 2022 - mdpi.com
Airborne LiDAR bathymetry (ALB) has proven to be an effective technology for shallow water
mapping. To collect data with a high point density, a lightweight dual-wavelength LiDAR …

[HTML][HTML] Concept and performance evaluation of a novel UAV-borne topo-bathymetric LiDAR sensor

G Mandlburger, M Pfennigbauer, R Schwarz, S Flöry… - Remote Sensing, 2020 - mdpi.com
We present the sensor concept and first performance and accuracy assessment results of a
novel lightweight topo-bathymetric laser scanner designed for integration on Unmanned …

[PDF][PDF] A review of active and passive optical methods in hydrography

G Mandlburger - The International Hydrographic Review, 2022 - researchgate.net
Résumé The history of using optical methods for hydrographic applications dates back to the
mid of the last century. Since these early days, both passive and active techniques have …

Correcting image refraction: Towards accurate aerial image-based bathymetry mapping in shallow waters

P Agrafiotis, K Karantzalos, A Georgopoulos… - Remote Sensing, 2020 - mdpi.com
Although aerial image-based bathymetric mapping can provide, unlike acoustic or LiDAR
(Light Detection and Ranging) sensors, both water depth and visual information, water …

BathyNet: A deep neural network for water depth mapping from multispectral aerial images

G Mandlburger, M Kölle, H Nübel, U Soergel - PFG–Journal of …, 2021 - Springer
Besides airborne laser bathymetry and multimedia photogrammetry, spectrally derived
bathymetry provides a third optical method for deriving water depths. In this paper, we …

Towards benthic habitat 3D mapping using machine learning algorithms and structures from motion photogrammetry

H Mohamed, K Nadaoka, T Nakamura - Remote Sensing, 2020 - mdpi.com
The accurate classification and 3D mapping of benthic habitats in coastal ecosystems are
vital for developing management strategies for these valuable shallow water environments …

Methodology for combining data acquired by unmanned surface and aerial vehicles to create digital bathymetric models in shallow and ultra-shallow waters

J Lubczonek, W Kazimierski, G Zaniewicz, M Lacka - Remote Sensing, 2021 - mdpi.com
This paper presents a method for integrating data acquired by unmanned surface vehicles
and unmanned aerial vehicles. The aim of this work was to create a uniform bathymetric …

High resolution optical and acoustic remote sensing datasets of the Puck Lagoon

Ł Janowski, D Skarlatos, P Agrafiotis, P Tysiąc… - Scientific Data, 2024 - nature.com
The very shallow marine basin of Puck Lagoon in the southern Baltic Sea, on the Northern
coast of Poland, hosts valuable benthic habitats and cultural heritage sites. These include …