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 …

[HTML][HTML] Retrieving water chlorophyll-a concentration in inland waters from Sentinel-2 imagery: Review of operability, performance and ways forward

J Llodrà-Llabrés, J Martínez-López, T Postma… - International Journal of …, 2023 - Elsevier
The fundamental role of water for life and the threats to water bodies around the world have
highlighted the need for their conservation. Remote sensing is a tool that allows us to …

[HTML][HTML] Trophic state assessment of optically diverse lakes using Sentinel-3-derived trophic level index

H Liu, B He, Y Zhou, T Kutser, K Toming, Q Feng… - International Journal of …, 2022 - Elsevier
An accurate estimation of trophic state of lakes with satellite remote sensing is a challenge
due to the optical complexity and variability associated with inland waters. Match-up data …

Mapping Water Clarity in Small Oligotrophic Lakes Using Sentinel-2 Imagery and Machine Learning Methods: A Case Study of Canandaigua Lake in Finger Lakes …

RM Khan, B Salehi, M Niroumand-Jadidi… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Optical remote sensing of water quality poses challenges in small oligotrophic lakes due to
the diminishing contribution of constituents to the water-leaving radiance as water clarity …

Retrieving inland reservoir water quality parameters using Landsat 8-9 OLI and Sentinel-2 MSI sensors with empirical multivariate regression

H Meng, J Zhang, Z Zheng - International Journal of Environmental …, 2022 - mdpi.com
Improving water quality is one of the top priorities in the global agenda endorsed by the
United Nations. To ensure the achievement of this goal, governments have developed plans …

Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan

K Matsui, H Shirai, Y Kageyama, H Yokoyama… - … Modelling & Software, 2023 - Elsevier
In recent years, the need to reduce water pollution and improve environmental water quality
has increased. In this study, we estimated the spatial distribution of suspended solids (SS) …

Evidence for Links between Feeding Behavior of Daphnia magna and Water Framework Directive Elements: Case Study of Crestuma-Lever Reservoir

BS Diogo, S Rodrigues, N Silva, I Pinto, SC Antunes - Water, 2022 - mdpi.com
The Water Framework Directive (WFD) is the European legislation on water policy that
assesses water quality according to time-consuming metrics and specific taxonomic needs …

Monitoring Total Suspended Solid Concentration and Shoreline Dynamics Using Sentinel-2 Imagery in 2015-2021

LN Ni'amah, N Bashit, LM Sabri… - Jambura Geoscience …, 2023 - ejurnal.ung.ac.id
Human activities in the Juwana Estuary impact increasing sedimentation, including industry,
fish processing, ponds, and settlements. Increased sedimentation every year can lead to the …

Landscape functioning in reservoir water quality prediction: Current use and predictive capacity

AP Portela, J Gonçalves, AS Cardoso, AS Vaz… - …, 2024 - Wiley Online Library
Reservoirs fulfil several societal needs, including water storage, energy production, flood
control and recreation. However, the interruption of the river continuum may cause water …

Satellite-Based Mapping of the Negative Impact of Gold Mining Enterprises on the Natural Environment of the Cryolithozone (Using the Example of Magadan Oblast)

PG Ilyushina, AN Shikhov, OM Makarieva - Izvestiya, Atmospheric and …, 2023 - Springer
Gold mining at ore and alluvial deposits substantially negatively impacts the natural
environment, in particular, by land degradation and the contamination of watercourses with …