[HTML][HTML] Automatic classification and mapping of the seabed using airborne LiDAR bathymetry

L Janowski, R Wroblewski, M Rucinska… - Engineering …, 2022 - Elsevier
Shallow coastal areas are among the most inhabited areas and are valuable for biodiversity,
recreation and the economy. Due to climate change and sea level rise, sustainable …

Predicting the slump of industrially produced concrete using machine learning: A multiclass classification approach

X Zhang, MZ Akber, W Zheng - Journal of Building Engineering, 2022 - Elsevier
This study attempts to develop a machine learning model to predict the concrete slump as a
function of mix proportions, taking advantage of the 3599 observations of industrially …

SRSe-net: Super-resolution-based semantic segmentation network for green tide extraction

B Cui, H Zhang, W Jing, H Liu, J Cui - Remote Sensing, 2022 - mdpi.com
Due to the phenomenon of mixed pixels in low-resolution remote sensing images, the green
tide spectral features with low Enteromorpha coverage are not obvious. Super-resolution …

Evaluation of satellite-derived bathymetry from high and medium-resolution sensors using empirical methods

E Evagorou, A Argyriou, N Papadopoulos, C Mettas… - Remote Sensing, 2022 - mdpi.com
This study evaluates the accuracy of bathymetric maps generated from multispectral satellite
datasets acquired from different multispectral sensors, namely the Worldview 2 …

Global satellite-based coastal bathymetry from waves

R Almar, EWJ Bergsma, G Thoumyre, MW Baba… - Remote Sensing, 2021 - mdpi.com
The seafloor—or bathymetry—of the world's coastal waters remains largely unknown
despite its primary importance to human activities and ecosystems. Here we present …

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 …

Using unoccupied aerial vehicles (UAVs) to map seagrass cover from Sentinel-2 imagery

S Carpenter, V Byfield, SL Felgate, DM Price… - Remote Sensing, 2022 - mdpi.com
Seagrass habitats are ecologically valuable and play an important role in sequestering and
storing carbon. There is, thus, a need to estimate seagrass percentage cover in diverse …

Comparative analysis of machine learning algorithms in automatic identification and extraction of water boundaries

A Li, M Fan, G Qin, Y Xu, H Wang - Applied Sciences, 2021 - mdpi.com
Monitoring open water bodies accurately is important for assessing the role of ecosystem
services in the context of human survival and climate change. There are many methods …

[HTML][HTML] Topographic Analysis of Intertidal Polychaete Reefs (Sabellaria alveolata) at a Very High Spatial Resolution

G Brunier, S Oiry, Y Gruet, SF Dubois, L Barillé - Remote Sensing, 2022 - mdpi.com
In temperate coastal regions of Western Europe, the polychaete Sabellaria alveolata (Linné)
builds large intertidal reefs of several hectares on soft-bottom substrates. These reefs are …

Towards better differentiation of archaeological objects based on geomorphometric features of a digital elevation model, the case of the Old Oder Canal

Ł Janowski, A Pydyn, M Popek… - Archaeological …, 2024 - Wiley Online Library
Limited visibility in the underwater environment often restricts opportunities for
archaeological prospection. Especially in reservoirs with a high content of suspended solids …