Tracking the behavior of an accidental oil spill and its impacts on the marine environment in the Eastern Mediterranean

RM Abou Samra, RR Ali - Marine Pollution Bulletin, 2024 - Elsevier
The eastern Mediterranean region is a vital hub for oil transportation and production
because of its strategic location between Europe, Asia, and Africa. But its unique attributes …

Mapping post-earthquake landslide susceptibility using U-Net, VGG-16, VGG-19, and metaheuristic algorithms

M Shafapourtehrany, F Rezaie, C Jun, E Heggy… - Remote Sensing, 2023 - mdpi.com
Landslides are among the most frequent secondary disasters caused by earthquakes in
areas prone to seismic activity. Given the necessity of assessing the current seismic …

Tracking the early signals of crude oil in seawater and plankton after a major oil spill in the Red Sea

S Kottuparambil, A Ashok, A Barozzi, G Michoud… - … Science and Pollution …, 2023 - Springer
Understanding the immediate impacts of oil spills is essential to recognizing their long-term
consequences on the marine environment. In this study, we traced the early (within one …

Spatiotemporal wave forecast with transformer-based network: A case study for the northwestern Pacific Ocean

Y Liu, W Lu, D Wang, Z Lai, C Ying, X Li, Y Han… - Ocean Modelling, 2024 - Elsevier
The forecast of ocean waves relies mostly on complex dynamic-based models, which are
expensive in computation and demanding in professional skills to run. Diverse deep …

A Triplet Network Fusing Optical and SAR Images for Colored Steel Building Extraction

X Zhang, S Yang, X Yang, C Li, Y Xu - Sensors, 2023 - mdpi.com
The identification of colored steel buildings in images is crucial for managing the
construction sector, environmental protection, and sustainable urban development. Current …

Automated marine oil spill detection algorithm based on single-image generative adversarial network and YOLO-v8 under small samples

Y Cai, L Chen, X Zhuang, B Zhang - Marine Pollution Bulletin, 2024 - Elsevier
As marine resources and transportation develop, oil spill incidents are increasing,
endangering marine ecosystems and human lives. Rapidly and accurately identifying …

ROSID: Remote Sensing Satellite Data for Oil Spill Detection on Land

DB Nurseitov, G Abdimanap, A Abdallah… - Engineered …, 2024 - espublisher.com
Oil spills on land pose significant environmental hazards, impacting ecosystems and human
health. Effective detection and monitoring of these spills are critical for timely response …

[PDF][PDF] Deep learning for COVID-19 diagnosis via chest images

S Wang, Y Zhang - Computers, Materials & Continua, 2023 - cdn.techscience.cn
The easiest way to stop COVID-19 is to diagnose and quarantine infected patients as rapidly
as possible [3]. Both reverse transcription polymerase chain reaction (RT-PCR)[4] and real …

Single-polarized SAR Image Preprocessing in Scope of Transfer Learning for Oil Spill Detection

N Kussul, V Kuzin, Y Salii, B Yailymov… - 2024 IEEE 12th …, 2024 - ieeexplore.ieee.org
This study proposes a novel preprocessing approach for improving oil spill detection from
Synthetic Aperture Radar (SAR) satellite imagery using deep learning models. A transfer …

A Novel Shipyard Production State Monitoring Method Based on Satellite Remote Sensing Images

W Qin, Y Song, H Zhu, X Yu, Y Tu - Remote Sensing, 2023 - mdpi.com
Monitoring the shipyard production state is of great significance to shipbuilding industry
development and coastal resource utilization. In this article, it is the first time that satellite …