Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors

MCR Cordeiro, JM Martinez, S Peña-Luque - Remote Sensing of …, 2021 - Elsevier
Continuous monitoring of water surfaces is essential for water resource management. This
study presents a nonparametric unsupervised automatic algorithm for the identification of …

[HTML][HTML] Exploratory analysis using deep learning for water-body segmentation of Peru's high-mountain remote sensing images

WI Perez-Torres, DA Uman-Flores, AB Quispe-Quispe… - Sensors, 2024 - mdpi.com
High-mountain water bodies represent critical components of their ecosystems, serving as
vital freshwater reservoirs, environmental regulators, and sentinels of climate change. To …

Sentinel-1&2 multitemporal water surface detection accuracies, evaluated at regional and reservoirs level

S Peña-Luque, S Ferrant, MCR Cordeiro, T Ledauphin… - Remote Sensing, 2021 - mdpi.com
Water stock monitoring is a major issue for society on a local and global scale. Sentinel-1&2
satellites provide frequent acquisitions to track water surface dynamics, proxy variables to …

[HTML][HTML] Effectiveness of machine learning methods for water segmentation with ROI as the label: A case study of the Tuul River in Mongolia

K Li, J Wang, J Yao - International Journal of Applied Earth Observation and …, 2021 - Elsevier
The carrying capacity of water resources is key to the sustainable development of arid and
semi-arid regions. There are important challenges related to the detection of discontinuous …

Applied method for water-body segmentation based on mask R-CNN

F Yang, T Feng, G Xu, Y Chen - Journal of Applied Remote …, 2020 - spiedigitallibrary.org
There exist thousands of water bodies in watersheds, including large-scale water bodies,
such as reservoirs, and small-scale water bodies, such as lakes, ponds, etc. In basin flood …

QTU-Net: quaternion transformer-based U-Net for water body extraction of RGB satellite image

M Wang, C Li, X Yang, Y Ban, D Chu… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Deep learning models have achieved great success in water body extraction (WBE) from
remote sensing images. However, the existing deep learning-based extraction methods …

A novel deep learning framework for water body segmentation from satellite images

IJ Kadhim, P Premaratne - Arabian Journal for Science and Engineering, 2023 - Springer
Deep learning techniques became crucial in analyzing satellite images for various remote
sensing applications such as water body detection. Water body segmentation helps identify …

Automatic inundation mapping using Sentinel-2 data applicable to both Camargue and Doñana biosphere reserves

GA Kordelas, I Manakos, G Lefebvre, B Poulin - Remote Sensing, 2019 - mdpi.com
Flooding periodicity is crucial for biomass production and ecosystem functions in wetland
areas. Local monitoring networks may be enriched by spaceborne derived products with a …

Intelligent identification and classification of ground-penetrating radar datasets for sedimentary characterization

L Yuan, W Zhao, E Forte, G Fontolan, M Pipan, A Zhu - Catena, 2024 - Elsevier
The interpretation of Ground-penetrating Radar (GPR) is commonly performed by different
GPR experts, resulting in somehow subjective results, especially in complicated …

Coastal Zone Extraction Algorithm Based on Multilayer Depth Features for Hyperspectral Images

S Qiu, H Ye, X Liao - IEEE Transactions on Geoscience and …, 2023 - ieeexplore.ieee.org
The coastal zone is the most active natural area on the Earth's surface and has the most
favorable resources and environmental conditions. Therefore, it is of great significance to …