[HTML][HTML] An overview of approaches and challenges for retrieving marine inherent optical properties from ocean color remote sensing
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
needed to minimize the inter-mission biases between the data retrieved from different …