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 …
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 …
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
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 …
its advantages such as high coverage and low consumption. For non-optically active …
A Machine Learning Approach for Mapping Chlorophyll Fluorescence at Inland Wetlands
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 …
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 …
monitoring. Despite its extensive use, BEWS has exhibited limitations, including difficulties in …
Physicochemical parameters of water and its implications on avifauna and habitat quality
Wetland ecosystems are essential for maintaining biological diversity and are significant
elements of the global landscape. However, the biodiversity of wetlands has been …
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 …
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 …
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
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 …
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 …
on two dimensions: accuracy and complexity. The complexity is not only influenced by …