Internet of things in marine environment monitoring: A review
Marine environment monitoring has attracted more and more attention due to the growing
concern about climate change. During the past couple of decades, advanced information …
concern about climate change. During the past couple of decades, advanced information …
Towards the internet of underwater things: A comprehensive survey
SAH Mohsan, A Mazinani, NQH Othman… - Earth Science …, 2022 - Springer
The innovative concept of Internet of Underwater Things (IoUT) has a huge impact in
different sectors including a small scientific laboratory, to a medium sized harbor, and to …
different sectors including a small scientific laboratory, to a medium sized harbor, and to …
An ensemble machine learning model for water quality estimation in coastal area based on remote sensing imagery
The accurate estimation of coastal water quality parameters (WQPs) is crucial for decision-
makers to manage water resources. Although various machine learning (ML) models have …
makers to manage water resources. Although various machine learning (ML) models have …
A review on the internet of thing (IoT) technologies in controlling ocean environment
DT Vo, XP Nguyen, TD Nguyen, R Hidayat… - Energy sources, Part …, 2021 - Taylor & Francis
Entering the first decade of the 21st century, researchers on applying modern information
technology to controlling ocean environment have made positive progress such as the …
technology to controlling ocean environment have made positive progress such as the …
Meta-Analysis of Satellite Observations for United Nations Sustainable Development Goals: Exploring the Potential of Machine Learning for Water Quality Monitoring
SS Mukonza, JL Chiang - Environments, 2023 - mdpi.com
This review paper adopts bibliometric and meta-analysis approaches to explore the
application of supervised machine learning regression models in satellite-based water …
application of supervised machine learning regression models in satellite-based water …
Inland harmful cyanobacterial bloom prediction in the eutrophic Tri An Reservoir using satellite band ratio and machine learning approaches
Abstract In recent years, Tri An, a drinking water reservoir for millions of people in southern
Vietnam, has been affected by harmful cyanobacterial blooms (HCBs), raising concerns …
Vietnam, has been affected by harmful cyanobacterial blooms (HCBs), raising concerns …
Robust remote sensing retrieval of key eutrophication indicators in coastal waters based on explainable machine learning
L Zhu, T Cui, A Runa, X Pan, W Zhao, J Xiang… - ISPRS Journal of …, 2024 - Elsevier
Excessive discharges of nitrogen and phosphorus nutrients lead to eutrophication in coastal
waters. Optical remote sensing retrieval of the key eutrophication indicators, namely …
waters. Optical remote sensing retrieval of the key eutrophication indicators, namely …
Remote sensing of water quality parameters over Lake Balaton by using Sentinel-3 OLCI
The Ocean and Land Color Instrument (OLCI) onboard Sentinel 3A satellite was launched in
February 2016. Level 2 (L2) products have been available for the public since July 2017 …
February 2016. Level 2 (L2) products have been available for the public since July 2017 …
Estimation of nitrogen and phosphorus concentrations from water quality surrogates using machine learning in the Tri An Reservoir, Vietnam
Surface water eutrophication due to excessive nutrients has become a major environmental
problem around the world in the past few decades. Among these nutrients, nitrogen and …
problem around the world in the past few decades. Among these nutrients, nitrogen and …
Machine learning application in water quality using satellite data
N Hassan, CS Woo - IOP Conference Series: Earth and …, 2021 - iopscience.iop.org
Monitoring water quality is a critical aspect of environmental sustainability. Poor water
quality has an impact not just on aquatic life but also on the ecosystem. The purpose of this …
quality has an impact not just on aquatic life but also on the ecosystem. The purpose of this …