[HTML][HTML] An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing

PJ Werdell, LIW McKinna, E Boss, SG Ackleson… - Progress in …, 2018 - Elsevier
Ocean color measured from satellites provides daily global, synoptic views of spectral water-
leaving reflectances that can be used to generate estimates of marine inherent optical …

Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods

DA Maciel, CCF Barbosa, EML de Moraes Novo… - ISPRS Journal of …, 2021 - Elsevier
Abstract Secchi Disk Depth (Z sd) is one of the widely used water quality measurements.
Controlled by variations in Optically Active Constituents, it is a key index of overall water …

[HTML][HTML] Monitoring multi-temporal and spatial variations of water transparency in the Jiaozhou Bay using GOCI data

Y Zhou, D Yu, W Cheng, Y Gai, H Yao, L Yang… - Marine pollution …, 2022 - Elsevier
Water transparency, commonly measured as Secchi disk depth (SDD), is essential for
describing the optical properties of coastal waters. We proposed a regional linear corrected …

Modeling ocean surface chlorophyll-a concentration from ocean color remote sensing reflectance in global waters using machine learning

S Kolluru, SP Tiwari - Science of the Total Environment, 2022 - Elsevier
The spatial and temporal variations of Chlorophyll-a (Chl-a) in clear and coastal waters are
critical for assessing the health of the marine environment. Machine learning models have …

Map** of diffuse attenuation coefficient in optically complex waters of amazon floodplain lakes

DA Maciel, CCF Barbosa, EML de Moraes Novo… - ISPRS Journal of …, 2020 - Elsevier
The modeling of underwater light field is essential for the understanding of biogeochemical
processes, such as photosynthesis, carbon fluxes, and sediment transports in inland waters …

A Secchi depth algorithm considering the residual error in satellite remote sensing reflectance data

J Chen, Q Han, Y Chen, Y Li - Remote Sensing, 2019 - mdpi.com
A scheme to semi-analytically derive waters' Secchi depth (Z sd) from remote sensing
reflectance (R rs) considering the effects of the residual errors in satellite R rs was …

A machine learning approach for deriving spectral absorption coefficients of optically active oceanic constituents

S Kolluru, SS Gedam, AB Inamdar - Computers & Geosciences, 2021 - Elsevier
Partitioning the total non-water absorption coefficient (anw (λ), m-1) into subcomponent
Inherent Optical Properties or absorption subcomponents (IOPs), ie, absorption due to …

Algal Biological Features Viewed in Satellite Observations: A Case Study of the Bohai Sea

W Quan, J Chen - Remote Sensing, 2023 - mdpi.com
Algal cell abundance weakly depends on inherent optical properties and chlorophyll-a
concentration in the Bohai Sea, so it is very hard to derive algal cell abundance (ACA) from …

Inversion diffuse attenuation coefficient of photosynthetically active radiation based on deep learning

L Chen, X Pan, J Zhang, CB Demeaux, Y Wang - Optics Express, 2023 - opg.optica.org
Accurate estimation of the diffuse attenuation coefficient of photosynthetically active
radiation, K_d (PAR), is critical for understanding and modeling key physical, chemical, and …

Long-term continuous monitoring of the diffuse attenuation coefficient at 490 nm from global oceans using combined SeaWiFS and MODISA data

J Li, J Chen, W Quan - International Journal of Remote Sensing, 2024 - Taylor & Francis
To enhance the long-term monitoring ability of multi-sourced remote sensing data, we
needed to minimize the inter-mission biases between the data retrieved from different …