Remote data for mapping and monitoring coastal phenomena and parameters: A systematic review

RM Cavalli - Remote Sensing, 2024 - mdpi.com
Since 1971, remote sensing techniques have been used to map and monitor phenomena
and parameters of the coastal zone. However, updated reviews have only considered one …

[HTML][HTML] Multi-source knowledge graph reasoning for ocean oil spill detection from satellite SAR images

X Liu, Y Zhang, H Zou, F Wang, X Cheng, W Wu… - International Journal of …, 2023 - Elsevier
Marine oil spills can cause severe damage to the marine environment and biological
resources. Using satellite remote sensing technology is one of the best ways to monitor the …

[HTML][HTML] An adversarial learning approach to forecasted wind field correction with an application to oil spill drift prediction

Y Li, W Huang, X Lyu, S Liu, Z Zhao, P Ren - International Journal of …, 2022 - Elsevier
Reanalysis wind fields are obtained by correcting the numerically forecasted wind fields
based on observation data (ie, either remote sensing or in-situ observations, or both) …

Deep semantic segmentation of mangroves in Brazil combining spatial, temporal, and polarization data from Sentinel-1 time series

GM de Souza Moreno, OA de Carvalho Júnior… - Ocean & Coastal …, 2023 - Elsevier
The automatic and accurate detection of mangroves from remote sensing data is essential to
assist in conservation strategies and decision-making that minimize possible environmental …

Comparing machine and deep learning methods for the phenology-based classification of land cover types in the Amazon biome using Sentinel-1 time series

IAL Magalhães, OA de Carvalho Júnior… - Remote Sensing, 2022 - mdpi.com
The state of Amapá within the Amazon biome has a high complexity of ecosystems formed
by forests, savannas, seasonally flooded vegetation, mangroves, and different land uses …

Multi-mission satellite detection and tracking of October 2019 Sabiti oil spill in the Red sea

K Vankayalapati, HP Dasari, S Langodan, S El Mohtar… - Remote Sensing, 2022 - mdpi.com
A multi-mission satellite remote sensing (MSRS) approach is explored to detect and track
leaked oil from the Sabiti oil tanker accident that occurred in the central Red Sea on 11 …

Rethinking high-resolution remote sensing image segmentation not limited to technology: a review of segmentation methods and outlook on technical interpretability

Q Chong, M Ni, J Huang, G Wei, Z Li… - International Journal of …, 2024 - Taylor & Francis
The intelligent segmentation of high-resolution remote sensing (HRS) image, also called as
dense prediction task for HRS image, has been and will continue to be important research in …

Towards multi-modal oil spill detection and coverage in the Caspian Sea: a comprehensive approach

A Pentayev, A Ahrari, A Baubekova… - … Journal of Water …, 2025 - Taylor & Francis
This study presents a novel multi-modal methodology for detecting oil spills in the Caspian
Sea and combines remote sensing, deep learning and natural language processing (NLP) …

Deep learning solutions for mapping contour levee rice production systems from very high resolution imagery

DS Dale, L Liang, L Zhong, ML Reba… - … and Electronics in …, 2023 - Elsevier
The construction of contour levees for rice irrigation represents a major landscape
management activity with impacts on irrigation water use efficiency, crop management …

Marine oil spill detection and segmentation in SAR data with two steps Deep Learning framework

R Trujillo-Acatitla, J Tuxpan-Vargas… - Marine Pollution …, 2024 - Elsevier
Marine oil spills pose significant ecological and economic threats worldwide, requiring
effective decision-making tools. In this study, the optimal parameters, and configurations for …