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] 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 …

Remote sensing retrieval of inland water quality parameters using Sentinel-2 and multiple machine learning algorithms

S Tian, H Guo, W Xu, X Zhu, B Wang, Q Zeng… - … Science and Pollution …, 2023 - Springer
Remote sensing has long been an effective method for water quality monitoring because of
its advantages such as high coverage and low consumption. For non-optically active …

A Machine Learning Approach for Mapping Chlorophyll Fluorescence at Inland Wetlands

M Bartold, M Kluczek - Remote Sensing, 2023 - mdpi.com
Wetlands are a critical component of the landscape for climate mitigation, adaptation,
biodiversity, and human health and prosperity. Keeping an eye on wetland vegetation is …

Machine learning-based water quality prediction using octennial in-situ Daphnia magna biological early warning system data

H Jeong, S Park, B Choi, CS Yu, JY Hong… - Journal of Hazardous …, 2024 - Elsevier
Biological early warning system (BEWS) has been globally used for surface water quality
monitoring. Despite its extensive use, BEWS has exhibited limitations, including difficulties in …

Physicochemical parameters of water and its implications on avifauna and habitat quality

AP Mishra, S Kumar, R Patra, A Kumar, H Sahu… - Sustainability, 2023 - mdpi.com
Wetland ecosystems are essential for maintaining biological diversity and are significant
elements of the global landscape. However, the biodiversity of wetlands has been …

Quantitative retrieval of chlorophyll-a concentrations in the Bohai–Yellow sea using GOCI surface reflectance products

J Wang, J Tang, W Wang, Y Wang, Z Wang - Remote Sensing, 2023 - mdpi.com
As an environmental parameter, the chlorophyll-a concentration (Chl-a) is essential for
monitoring water quality and managing the marine ecosystem. However, current mainstream …

Retrieval of chlorophyll-a concentrations using Sentinel-2 MSI imagery in Lake Chagan based on assessments with machine learning models

X Shi, L Gu, T Jiang, X Zheng, W Dong, Z Tao - Remote Sensing, 2022 - mdpi.com
Chlorophyll-a (Chl-a) is an important characterized parameter of lakes. Monitoring it
accurately through remote sensing is thus of great significance for early warnings of water …

Scaling waterbody carbon dioxide and methane fluxes in the arctic using an integrated terrestrial-aquatic approach

SM Ludwig, SM Natali, JD Schade… - Environmental …, 2023 - iopscience.iop.org
In the Arctic waterbodies are abundant and rapid thaw of permafrost is destabilizing the
carbon cycle and changing hydrology. It is particularly important to quantify and accurately …

[HTML][HTML] Investigation of landslide susceptibility decision mechanisms in different ensemble-based machine learning models with various types of factor data

J Lu, C Ren, W Yue, Y Zhou, X Xue, Y Liu, C Ding - Sustainability, 2023 - mdpi.com
Machine learning (ML)-based methods of landslide susceptibility assessment primarily focus
on two dimensions: accuracy and complexity. The complexity is not only influenced by …